plotly · archmoj · Oct 25, 2023 · Sep 15, 2023 · Sep 15, 2023 · Sep 15, 2023
diff --git a/CHANGELOG.md b/CHANGELOG.md
@@ -2,6 +2,21 @@
 All notable changes to this project will be documented in this file.
 This project adheres to [Semantic Versioning](http://semver.org/).
 
+## [5.18.0] - 2023-10-25
+
+### Updated
+- Updated Plotly.js from version 2.26.0 to version 2.27.0. See the [plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/master/CHANGELOG.md#2270----2023-10-20) for more information. These changes are reflected in the auto-generated `plotly.graph_objects` module. Notable changes include:
+  - Add `insiderange` to cartesian axes to help avoid overlap between visible grid lines and tick labels of the counter axis when they are positioned inside [[#6735](https://github.com/plotly/plotly.js/pull/6735)], this feature was anonymously sponsored: thank you to our sponsor!
+  - Fix column order changes on hover [[#6718](https://github.com/plotly/plotly.js/pull/6718)],
+   with thanks to @bhavinpatel1109 for the contribution!
+  - Fix hover at timestamp '1970-01-01 00:00:00' [[#6752](https://github.com/plotly/plotly.js/pull/6752)],
+   with thanks to @adamjhawley for the contribution!
+  - Fix clearing empty `candlestick` using react [[#6757](https://github.com/plotly/plotly.js/pull/6757)]
+
+### Fixed
+- Repair crash on Matplotlib 3.8 related to get_offset_position [[#4372](https://github.com/plotly/plotly.py/pull/4372)],
+- Handle deprecation of `pandas.Series.dt.to_pydatetime()` calls and suppress the `FutureWarning` they currently emit. [[#4379](https://github.com/plotly/plotly.py/pull/4379)]
+
 ## [5.17.0] - 2023-09-15
 
 ### Updated

diff --git a/README.md b/README.md
@@ -33,7 +33,7 @@
 
 ## Quickstart
 
-`pip install plotly==5.17.0`
+`pip install plotly==5.18.0`
 
 Inside [Jupyter](https://jupyter.org/install) (installable with `pip install "jupyterlab>=3" "ipywidgets>=7.6"`):
 
@@ -78,13 +78,13 @@ Built on top of [plotly.js](https://github.com/plotly/plotly.js), `plotly.py` is
 plotly.py may be installed using pip...
 
 ```
-pip install plotly==5.17.0
+pip install plotly==5.18.0
 ```
 
 or conda.
 
 ```
-conda install -c plotly plotly=5.17.0
+conda install -c plotly plotly=5.18.0
 ```
 
 ### JupyterLab Support
@@ -106,7 +106,7 @@ The instructions above apply to JupyterLab 3.x. **For JupyterLab 2 or earlier**,
 
 ```
 # JupyterLab 2.x renderer support
-jupyter labextension install jupyterlab-plotly@5.17.0 @jupyter-widgets/jupyterlab-manager
+jupyter labextension install jupyterlab-plotly@5.18.0 @jupyter-widgets/jupyterlab-manager
 ```
 
 Please check out our [Troubleshooting guide](https://plotly.com/python/troubleshooting/) if you run into any problems with JupyterLab.

diff --git a/binder/requirements.txt b/binder/requirements.txt
@@ -1,5 +1,5 @@
 jupytext
-plotly==5.17.0
+plotly==5.18.0
 jupyter
 notebook
 pandas==1.0.3

diff --git a/contributing.md b/contributing.md
@@ -271,11 +271,11 @@ pytest plotly/tests/test_plotly/test_plot.py::test_function
 
 Running tests with tox is much more powerful, but requires a bit more setup.
 
-You'll need to export an environment variable for *each* tox environment you wish to test with. For example, if you want to test with `Python 2.7` and
+You'll need to export an environment variable for *each* tox environment you wish to test with. For example, if you want to test with `Python 3.9` and
 `Python 3.6`, but only care to check the `core` specs, you would need to ensure that the following variables are exported:
 
 ```
-export PLOTLY_TOX_PYTHON_27=<python binary>
+export PLOTLY_TOX_PYTHON_39=<python binary>
 export PLOTLY_TOX_PYTHON_36=<python binary>
 ```
 
@@ -286,15 +286,15 @@ Where the `<python binary` is going to be specific to your development setup. As
 # tox envs #
 ############
 
-export PLOTLY_TOX_PYTHON_27=python2.7
-export PLOTLY_TOX_PYTHON_34=python3.4
-export TOXENV=py27-core,py34-core
+export PLOTLY_TOX_PYTHON_39=python3.9
+export PLOTLY_TOX_PYTHON_36=python3.6
+export TOXENV=py39-core,py36-core
 ```
 
 Where `TOXENV` is the environment list you want to use when invoking `tox` from the command line. Note that the `PLOTLY_TOX_*` pattern is used to pass in variables for use in the `tox.ini` file. Though this is a little setup, intensive, you'll get the following benefits:
 
 * `tox` will automatically manage a virtual env for each environment you want to test in.
-* You only have to run `tox` and know that the module is working in both `Python 2` and `Python 3`.
+* You only have to run `tox` and know that the module is working in all included Python versions.
 
 Finally, `tox` allows you to pass in additional command line arguments that are formatted in (by us) in the `tox.ini` file, see `{posargs}`. This is setup to help with our configuration of [pytest markers](http://doc.pytest.org/en/latest/example/markers.html), which are set up in `packages/python/plotly/pytest.ini`. To run only tests that are *not* tagged with `nodev`, you could use the following command:
 

diff --git a/doc/apidoc/conf.py b/doc/apidoc/conf.py
@@ -1,5 +1,3 @@
-# -*- coding: utf-8 -*-
-#
 # Configuration file for the Sphinx documentation builder.
 #
 # This file does only contain a selection of the most common options. For a
@@ -28,7 +26,7 @@
 # The short X.Y version
 version = ""
 # The full version, including alpha/beta/rc tags
-release = "5.17.0"
+release = "5.18.0"
 
 
 # -- General configuration ---------------------------------------------------

diff --git a/doc/python/axes.md b/doc/python/axes.md
@@ -559,6 +559,25 @@ fig.update_yaxes(range=[3, 9])
 fig.show()
 ```
 
+#### Exclude Inside Tick Labels from Range
+
+*New in 5.18*
+
+You can use `insiderange` instead of `range` on an axis if you have tick labels positioned on the inside of another axis and you don't want the range to overlap with those labels.
+
+In this example, we have a y axis with `ticklabelposition="inside"` and by setting `insiderange=['2018-10-01', '2019-01-01']` on the x axis, the data point of `2018-10-01` is displayed after the y axis labels.
+
+```python
+import plotly.express as px
+df = px.data.stocks(indexed=True)
+
+fig = px.line(df, df.index, y="GOOG")
+fig.update_yaxes(ticklabelposition="inside", title="Price")
+fig.update_xaxes(insiderange=['2018-10-01', '2019-01-01'], title="Date")
+
+fig.show()
+```
+
 #### Setting only a Lower or Upper Bound for Range
 
 *New in 5.17*

diff --git a/doc/python/getting-started.md b/doc/python/getting-started.md
@@ -58,13 +58,13 @@ We also encourage you to join the [Plotly Community Forum](http://community.plot
 `plotly` may be installed using `pip`:
 
 ```
-$ pip install plotly==5.17.0
+$ pip install plotly==5.18.0
 ```
 
 or `conda`:
 
 ```
-$ conda install -c plotly plotly=5.17.0
+$ conda install -c plotly plotly=5.18.0
 ```
 This package contains everything you need to write figures to standalone HTML files.
 
@@ -152,7 +152,7 @@ The instructions above apply to JupyterLab 3.x. **For JupyterLab 2 or earlier**,
 
 ```
 # JupyterLab 2.x renderer support
-jupyter labextension install jupyterlab-plotly@5.17.0 @jupyter-widgets/jupyterlab-manager
+jupyter labextension install jupyterlab-plotly@5.18.0 @jupyter-widgets/jupyterlab-manager
 ```
 
 Please check out our [Troubleshooting guide](/python/troubleshooting/) if you run into any problems with JupyterLab, particularly if you are using multiple python environments inside Jupyter.

diff --git a/doc/requirements.txt b/doc/requirements.txt
@@ -1,4 +1,4 @@
-plotly==5.17.0
+plotly==5.18.0
 jupytext==1.1.1
 ipywidgets==7.7.2
 jupyter-client<7

diff --git a/doc/unconverted/python/amazon-redshift.md b/doc/unconverted/python/amazon-redshift.md
@@ -45,8 +45,6 @@ This notebook will go over one of the easiest ways to graph data from your [Amaz
 In this notebook we'll be using [Amazon's Sample Redshift Data](http://docs.aws.amazon.com/redshift/latest/gsg/rs-gsg-create-sample-db.html) for this notebook. Although we won't be connecting through a JDBC/ODBC connection we'll be using the [psycopg2 package](http://initd.org/psycopg/docs/index.html) with [SQLAlchemy](http://www.sqlalchemy.org/)  and [pandas](http://pandas.pydata.org/) to make it simple to query and analyze our data.
 
 ```python
-from __future__ import print_function #python 3 support
-
 import plotly.plotly as py
 import plotly.graph_objs as go
 import plotly.tools as tls

diff --git a/doc/unconverted/python/apache-spark.md b/doc/unconverted/python/apache-spark.md
@@ -122,7 +122,6 @@ We can test for the Spark Context's existence with `print sc`.
 <!-- #endregion -->
 
 ```python
-from __future__ import print_function #python 3 support
 print(sc)
 ```
 

diff --git a/packages/javascript/jupyterlab-plotly/package-lock.json b/packages/javascript/jupyterlab-plotly/package-lock.json
diff --git a/packages/javascript/jupyterlab-plotly/package.json b/packages/javascript/jupyterlab-plotly/package.json
@@ -1,6 +1,6 @@
 {
   "name": "jupyterlab-plotly",
-  "version": "5.17.0",
+  "version": "5.18.0",
   "description": "The plotly Jupyter extension",
   "author": "The plotly.py team",
   "license": "MIT",
@@ -65,7 +65,7 @@
     "@lumino/messaging": "^1.2.3",
     "@lumino/widgets": "^1.8.1",
     "lodash": "^4.17.4",
-    "plotly.js": "^2.26.0"
+    "plotly.js": "^2.27.0"
   },
   "jupyterlab": {
     "extension": "lib/jupyterlab-plugin",

diff --git a/packages/python/plotly/_plotly_utils/basevalidators.py b/packages/python/plotly/_plotly_utils/basevalidators.py
@@ -1,5 +1,3 @@
-from __future__ import absolute_import
-
 import base64
 import numbers
 import textwrap
@@ -9,6 +7,7 @@
 import io
 import re
 import sys
+import warnings
 
 from _plotly_utils.optional_imports import get_module
 
@@ -102,7 +101,11 @@ def copy_to_readonly_numpy_array(v, kind=None, force_numeric=False):
         elif v.dtype.kind == "M":
             # Convert datetime Series/Index to numpy array of datetimes
             if isinstance(v, pd.Series):
-                v = v.dt.to_pydatetime()
+                with warnings.catch_warnings():
+                    warnings.simplefilter("ignore", FutureWarning)
+                    # Series.dt.to_pydatetime will return Index[object]
+                    # https://github.com/pandas-dev/pandas/pull/52459
+                    v = np.array(v.dt.to_pydatetime())
             else:
                 # DatetimeIndex
                 v = v.to_pydatetime()
@@ -111,7 +114,13 @@ def copy_to_readonly_numpy_array(v, kind=None, force_numeric=False):
         if dtype.kind in numeric_kinds:
             v = v.values
         elif dtype.kind == "M":
-            v = [row.dt.to_pydatetime().tolist() for i, row in v.iterrows()]
+            with warnings.catch_warnings():
+                warnings.simplefilter("ignore", FutureWarning)
+                # Series.dt.to_pydatetime will return Index[object]
+                # https://github.com/pandas-dev/pandas/pull/52459
+                v = [
+                    np.array(row.dt.to_pydatetime()).tolist() for i, row in v.iterrows()
+                ]
 
     if not isinstance(v, np.ndarray):
         # v has its own logic on how to convert itself into a numpy array
@@ -146,7 +155,7 @@ def copy_to_readonly_numpy_array(v, kind=None, force_numeric=False):
     # --------------------------
     if force_numeric and new_v.dtype.kind not in numeric_kinds:
         raise ValueError(
-            "Input value is not numeric and" "force_numeric parameter set to True"
+            "Input value is not numeric and force_numeric parameter set to True"
         )
 
     if "U" not in kind:

diff --git a/packages/python/plotly/_plotly_utils/colors/__init__.py b/packages/python/plotly/_plotly_utils/colors/__init__.py
@@ -73,8 +73,6 @@
 Be careful! If you have a lot of unique numbers in your color column you will
 end up with a colormap that is massive and may slow down graphing performance.
 """
-from __future__ import absolute_import
-
 import decimal
 from numbers import Number
 

diff --git a/packages/python/plotly/_plotly_utils/optional_imports.py b/packages/python/plotly/_plotly_utils/optional_imports.py
@@ -2,8 +2,6 @@
 Stand-alone module to provide information about whether optional deps exist.
 
 """
-from __future__ import absolute_import
-
 from importlib import import_module
 import logging
 import sys
@@ -30,7 +28,7 @@ def get_module(name, should_load=True):
             return import_module(name)
         except ImportError:
             _not_importable.add(name)
-        except Exception as e:
+        except Exception:
             _not_importable.add(name)
             msg = f"Error importing optional module {name}"
             logger.exception(msg)
diff --git a/packages/python/plotly/_plotly_utils/utils.py b/packages/python/plotly/_plotly_utils/utils.py
@@ -8,9 +8,6 @@
 from _plotly_utils.basevalidators import ImageUriValidator
 
 
-PY36_OR_LATER = sys.version_info >= (3, 6)
-
-
 def cumsum(x):
     """
     Custom cumsum to avoid a numpy import.

diff --git a/packages/python/plotly/codegen/resources/plot-schema.json b/packages/python/plotly/codegen/resources/plot-schema.json
@@ -10892,6 +10892,21 @@
      "editType": "none",
      "valType": "string"
     },
+    "insiderange": {
+     "description": "Could be used to set the desired inside range of this axis (excluding the labels) when `ticklabelposition` of the anchored axis has *inside*. Not implemented for axes with `type` *log*. This would be ignored when `range` is provided.",
+     "editType": "plot",
+     "items": [
+      {
+       "editType": "plot",
+       "valType": "any"
+      },
+      {
+       "editType": "plot",
+       "valType": "any"
+      }
+     ],
+     "valType": "info_array"
+    },
     "labelalias": {
      "description": "Replacement text for specific tick or hover labels. For example using {US: 'USA', CA: 'Canada'} changes US to USA and CA to Canada. The labels we would have shown must match the keys exactly, after adding any tickprefix or ticksuffix. For negative numbers the minus sign symbol used (U+2212) is wider than the regular ascii dash. That means you need to use −1 instead of -1. labelalias can be used with any axis type, and both keys (if needed) and values (if desired) can include html-like tags or MathJax.",
      "dflt": false,
@@ -12217,6 +12232,21 @@
      "editType": "none",
      "valType": "string"
     },
+    "insiderange": {
+     "description": "Could be used to set the desired inside range of this axis (excluding the labels) when `ticklabelposition` of the anchored axis has *inside*. Not implemented for axes with `type` *log*. This would be ignored when `range` is provided.",
+     "editType": "plot",
+     "items": [
+      {
+       "editType": "plot",
+       "valType": "any"
+      },
+      {
+       "editType": "plot",
+       "valType": "any"
+      }
+     ],
+     "valType": "info_array"
+    },
     "labelalias": {
      "description": "Replacement text for specific tick or hover labels. For example using {US: 'USA', CA: 'Canada'} changes US to USA and CA to Canada. The labels we would have shown must match the keys exactly, after adding any tickprefix or ticksuffix. For negative numbers the minus sign symbol used (U+2212) is wider than the regular ascii dash. That means you need to use −1 instead of -1. labelalias can be used with any axis type, and both keys (if needed) and values (if desired) can include html-like tags or MathJax.",
      "dflt": false,

diff --git a/packages/python/plotly/plotly/__init__.py b/packages/python/plotly/plotly/__init__.py
@@ -25,7 +25,6 @@
 - exceptions: defines our custom exception classes
 
 """
-from __future__ import absolute_import
 import sys
 from typing import TYPE_CHECKING
 from _plotly_utils.importers import relative_import

diff --git a/packages/python/plotly/plotly/_subplots.py b/packages/python/plotly/plotly/_subplots.py
@@ -1,6 +1,3 @@
-# -*- coding: utf-8 -*-
-from __future__ import absolute_import, unicode_literals
-
 # Constants
 # ---------
 # Subplot types that are each individually positioned with a domain