bug_2410: Allowing Ints to be passed for rows/cols and refactored int… (#2546)

* bug_2410: Allowing Ints to be passed for rows/cols and refactored int checks

* Update packages/python/plotly/plotly/basedatatypes.py

Quick cosmetic update to the docstring

Co-authored-by: Emmanuelle Gouillart <[email protected]>

* Update packages/python/plotly/plotly/basedatatypes.py

Quick cosmetic update to the docstring

Co-authored-by: Emmanuelle Gouillart <[email protected]>

Co-authored-by: Emmanuelle Gouillart <[email protected]>

Author: MCBoarder289

Diff for: packages/python/plotly/_plotly_utils/utils.py

@@ -247,3 +247,12 @@ def key(v):
         return tuple(v_parts)
 
     return sorted(vals, key=key, reverse=reverse)
+
+
+def _get_int_type():
+    np = get_module("numpy", should_load=False)
+    if np:
+        int_type = (int, np.integer)
+    else:
+        int_type = (int,)
+    return int_type

Diff for: packages/python/plotly/plotly/basedatatypes.py

@@ -9,7 +9,7 @@
 from contextlib import contextmanager
 from copy import deepcopy, copy
 
-from _plotly_utils.utils import _natural_sort_strings
+from _plotly_utils.utils import _natural_sort_strings, _get_int_type
 from .optional_imports import get_module
 
 # Create Undefined sentinel value
@@ -1560,12 +1560,7 @@ def _validate_rows_cols(name, n, vals):
             if len(vals) != n:
                 BaseFigure._raise_invalid_rows_cols(name=name, n=n, invalid=vals)
 
-            try:
-                import numpy as np
-
-                int_type = (int, np.integer)
-            except ImportError:
-                int_type = (int,)
+            int_type = _get_int_type()
 
             if [r for r in vals if not isinstance(r, int_type)]:
                 BaseFigure._raise_invalid_rows_cols(name=name, n=n, invalid=vals)
@@ -1677,14 +1672,19 @@ def add_traces(self, data, rows=None, cols=None, secondary_ys=None):
                   - All remaining properties are passed to the constructor
                     of the specified trace type.
 
-        rows : None or list[int] (default None)
+        rows : None, list[int], or int (default None)
             List of subplot row indexes (starting from 1) for the traces to be
             added. Only valid if figure was created using
             `plotly.tools.make_subplots`
+            If a single integer is passed, all traces will be added to row number
+
         cols : None or list[int] (default None)
             List of subplot column indexes (starting from 1) for the traces
             to be added. Only valid if figure was created using
             `plotly.tools.make_subplots`
+            If a single integer is passed, all traces will be added to column number
+
+
         secondary_ys: None or list[boolean] (default None)
             List of secondary_y booleans for traces to be added. See the
             docstring for `add_trace` for more info.
@@ -1723,6 +1723,15 @@ def add_traces(self, data, rows=None, cols=None, secondary_ys=None):
         for ind, new_trace in enumerate(data):
             new_trace._trace_ind = ind + len(self.data)
 
+        # Allow integers as inputs to subplots
+        int_type = _get_int_type()
+
+        if isinstance(rows, int_type):
+            rows = [rows] * len(data)
+
+        if isinstance(cols, int_type):
+            cols = [cols] * len(data)
+
         # Validate rows / cols
         n = len(data)
         BaseFigure._validate_rows_cols("rows", n, rows)

Diff for: packages/python/plotly/plotly/tests/test_core/test_figure_messages/test_add_traces.py

@@ -63,3 +63,33 @@ def test_add_traces(self):
                 {"type": "histogram2dcontour", "line": {"color": "cyan"}},
             ]
         )
+
+
+class TestAddTracesRowsColsDataTypes(TestCase):
+    def test_add_traces_with_iterable(self):
+        import plotly.express as px
+
+        df = px.data.tips()
+        fig = px.scatter(df, x="total_bill", y="tip", color="day")
+        from plotly.subplots import make_subplots
+
+        fig2 = make_subplots(1, 2)
+        fig2.add_traces(fig.data, rows=[1,] * len(fig.data), cols=[1,] * len(fig.data))
+
+        expected_data_length = 4
+
+        self.assertEqual(expected_data_length, len(fig2.data))
+
+    def test_add_traces_with_integers(self):
+        import plotly.express as px
+
+        df = px.data.tips()
+        fig = px.scatter(df, x="total_bill", y="tip", color="day")
+        from plotly.subplots import make_subplots
+
+        fig2 = make_subplots(1, 2)
+        fig2.add_traces(fig.data, rows=1, cols=2)
+
+        expected_data_length = 4
+
+        self.assertEqual(expected_data_length, len(fig2.data))

Diff for: packages/python/plotly/plotly/tests/test_core/test_utils/test_utils.py

@@ -70,3 +70,28 @@ def test_numpy_integer_import(self):
         value = get_by_path(fig, data_path)
         expected_value = (1,)
         self.assertEqual(value, expected_value)
+
+    def test_get_numpy_int_type(self):
+        import numpy as np
+        from _plotly_utils.utils import _get_int_type
+
+        int_type_tuple = _get_int_type()
+        expected_tuple = (int, np.integer)
+
+        self.assertEqual(int_type_tuple, expected_tuple)
+
+
+class TestNoNumpyIntegerBaseType(TestCase):
+    def test_no_numpy_int_type(self):
+        import sys
+        from _plotly_utils.utils import _get_int_type
+        from _plotly_utils.optional_imports import get_module
+
+        np = get_module("numpy", should_load=False)
+        if np:
+            sys.modules.pop("numpy")
+
+        int_type_tuple = _get_int_type()
+        expected_tuple = (int,)
+
+        self.assertEqual(int_type_tuple, expected_tuple)