Backport PR pandas-dev#60584 on branch 2.3.x (TST: Address matplotlib 3.10 deprecation of vert=) (pandas-dev#60586)

* Backport PR pandas-dev#60584: TST: Address matplotlib 3.10 deprecation of vert=

* Add missing import

* Ignore pre-commit check

---------

Co-authored-by: Matthew Roeschke <10647082+mroeschke@users.noreply.github.com>

Author: meeseeksmachine

pandas/plotting/_matplotlib/boxplot.py

@@ -7,6 +7,7 @@
 )
 import warnings
 
+import matplotlib as mpl
 from matplotlib.artist import setp
 import numpy as np
 
@@ -20,6 +21,7 @@
 
 import pandas as pd
 import pandas.core.common as com
+from pandas.util.version import Version
 
 from pandas.io.formats.printing import pprint_thing
 from pandas.plotting._matplotlib.core import (
@@ -54,7 +56,8 @@ def _set_ticklabels(ax: Axes, labels: list[str], is_vertical: bool, **kwargs) ->
     ticks = ax.get_xticks() if is_vertical else ax.get_yticks()
     if len(ticks) != len(labels):
         i, remainder = divmod(len(ticks), len(labels))
-        assert remainder == 0, remainder
+        if Version(mpl.__version__) < Version("3.10"):
+            assert remainder == 0, remainder
         labels *= i
     if is_vertical:
         ax.set_xticklabels(labels, **kwargs)

pandas/plotting/_matplotlib/tools.py

@@ -57,7 +57,7 @@ def format_date_labels(ax: Axes, rot) -> None:
     fig = ax.get_figure()
     if fig is not None:
         # should always be a Figure but can technically be None
-        maybe_adjust_figure(fig, bottom=0.2)
+        maybe_adjust_figure(fig, bottom=0.2)  # type: ignore[arg-type]
 
 
 def table(

pandas/tests/plotting/frame/test_frame.py

@@ -1059,41 +1059,66 @@ def test_boxplot_series_positions(self, hist_df):
         tm.assert_numpy_array_equal(ax.xaxis.get_ticklocs(), positions)
         assert len(ax.lines) == 7 * len(numeric_cols)
 
+    @pytest.mark.filterwarnings("ignore:set_ticklabels:UserWarning")
+    @pytest.mark.xfail(
+        Version(mpl.__version__) >= Version("3.10"),
+        reason="Fails starting with matplotlib 3.10",
+    )
     def test_boxplot_vertical(self, hist_df):
         df = hist_df
         numeric_cols = df._get_numeric_data().columns
         labels = [pprint_thing(c) for c in numeric_cols]
 
         # if horizontal, yticklabels are rotated
-        ax = df.plot.box(rot=50, fontsize=8, vert=False)
+        kwargs = (
+            {"vert": False}
+            if Version(mpl.__version__) < Version("3.10")
+            else {"orientation": "horizontal"}
+        )
+        ax = df.plot.box(rot=50, fontsize=8, **kwargs)
         _check_ticks_props(ax, xrot=0, yrot=50, ylabelsize=8)
         _check_text_labels(ax.get_yticklabels(), labels)
         assert len(ax.lines) == 7 * len(numeric_cols)
 
-    @pytest.mark.filterwarnings("ignore:Attempt:UserWarning")
+    @pytest.mark.filterwarnings("ignore::UserWarning")
+    @pytest.mark.xfail(
+        Version(mpl.__version__) >= Version("3.10"),
+        reason="Fails starting with matplotlib version 3.10",
+    )
     def test_boxplot_vertical_subplots(self, hist_df):
         df = hist_df
         numeric_cols = df._get_numeric_data().columns
         labels = [pprint_thing(c) for c in numeric_cols]
+        kwargs = (
+            {"vert": False}
+            if Version(mpl.__version__) < Version("3.10")
+            else {"orientation": "horizontal"}
+        )
         axes = _check_plot_works(
-            df.plot.box,
-            default_axes=True,
-            subplots=True,
-            vert=False,
-            logx=True,
+            df.plot.box, default_axes=True, subplots=True, logx=True, **kwargs
         )
         _check_axes_shape(axes, axes_num=3, layout=(1, 3))
         _check_ax_scales(axes, xaxis="log")
         for ax, label in zip(axes, labels):
             _check_text_labels(ax.get_yticklabels(), [label])
             assert len(ax.lines) == 7
 
+    @pytest.mark.filterwarnings("ignore:set_ticklabels:UserWarning")
+    @pytest.mark.xfail(
+        Version(mpl.__version__) >= Version("3.10"),
+        reason="Fails starting with matplotlib 3.10",
+    )
     def test_boxplot_vertical_positions(self, hist_df):
         df = hist_df
         numeric_cols = df._get_numeric_data().columns
         labels = [pprint_thing(c) for c in numeric_cols]
         positions = np.array([3, 2, 8])
-        ax = df.plot.box(positions=positions, vert=False)
+        kwargs = (
+            {"vert": False}
+            if Version(mpl.__version__) < Version("3.10")
+            else {"orientation": "horizontal"}
+        )
+        ax = df.plot.box(positions=positions, **kwargs)
         _check_text_labels(ax.get_yticklabels(), labels)
         tm.assert_numpy_array_equal(ax.yaxis.get_ticklocs(), positions)
         assert len(ax.lines) == 7 * len(numeric_cols)

pandas/tests/plotting/test_boxplot_method.py

@@ -1,5 +1,7 @@
 """ Test cases for .boxplot method """
 
+from __future__ import annotations
+
 import itertools
 import string
 
@@ -22,6 +24,7 @@
     _check_ticks_props,
     _check_visible,
 )
+from pandas.util.version import Version
 
 from pandas.io.formats.printing import pprint_thing
 
@@ -35,6 +38,17 @@ def _check_ax_limits(col, ax):
     assert y_max >= col.max()
 
 
+if Version(mpl.__version__) < Version("3.10"):
+    verts: list[dict[str, bool | str]] = [{"vert": False}, {"vert": True}]
+else:
+    verts = [{"orientation": "horizontal"}, {"orientation": "vertical"}]
+
+
+@pytest.fixture(params=verts)
+def vert(request):
+    return request.param
+
+
 class TestDataFramePlots:
     def test_stacked_boxplot_set_axis(self):
         # GH2980
@@ -315,7 +329,7 @@ def test_specified_props_kwd(self, props, expected):
 
         assert result[expected][0].get_color() == "C1"
 
-    @pytest.mark.parametrize("vert", [True, False])
+    @pytest.mark.filterwarnings("ignore:set_ticklabels:UserWarning")
     def test_plot_xlabel_ylabel(self, vert):
         df = DataFrame(
             {
@@ -325,11 +339,11 @@ def test_plot_xlabel_ylabel(self, vert):
             }
         )
         xlabel, ylabel = "x", "y"
-        ax = df.plot(kind="box", vert=vert, xlabel=xlabel, ylabel=ylabel)
+        ax = df.plot(kind="box", xlabel=xlabel, ylabel=ylabel, **vert)
         assert ax.get_xlabel() == xlabel
         assert ax.get_ylabel() == ylabel
 
-    @pytest.mark.parametrize("vert", [True, False])
+    @pytest.mark.filterwarnings("ignore:set_ticklabels:UserWarning")
     def test_plot_box(self, vert):
         # GH 54941
         rng = np.random.default_rng(2)
@@ -338,14 +352,14 @@ def test_plot_box(self, vert):
 
         xlabel, ylabel = "x", "y"
         _, axs = plt.subplots(ncols=2, figsize=(10, 7), sharey=True)
-        df1.plot.box(ax=axs[0], vert=vert, xlabel=xlabel, ylabel=ylabel)
-        df2.plot.box(ax=axs[1], vert=vert, xlabel=xlabel, ylabel=ylabel)
+        df1.plot.box(ax=axs[0], xlabel=xlabel, ylabel=ylabel, **vert)
+        df2.plot.box(ax=axs[1], xlabel=xlabel, ylabel=ylabel, **vert)
         for ax in axs:
             assert ax.get_xlabel() == xlabel
             assert ax.get_ylabel() == ylabel
         mpl.pyplot.close()
 
-    @pytest.mark.parametrize("vert", [True, False])
+    @pytest.mark.filterwarnings("ignore:set_ticklabels:UserWarning")
     def test_boxplot_xlabel_ylabel(self, vert):
         df = DataFrame(
             {
@@ -355,11 +369,11 @@ def test_boxplot_xlabel_ylabel(self, vert):
             }
         )
         xlabel, ylabel = "x", "y"
-        ax = df.boxplot(vert=vert, xlabel=xlabel, ylabel=ylabel)
+        ax = df.boxplot(xlabel=xlabel, ylabel=ylabel, **vert)
         assert ax.get_xlabel() == xlabel
         assert ax.get_ylabel() == ylabel
 
-    @pytest.mark.parametrize("vert", [True, False])
+    @pytest.mark.filterwarnings("ignore:set_ticklabels:UserWarning")
     def test_boxplot_group_xlabel_ylabel(self, vert):
         df = DataFrame(
             {
@@ -369,24 +383,35 @@ def test_boxplot_group_xlabel_ylabel(self, vert):
             }
         )
         xlabel, ylabel = "x", "y"
-        ax = df.boxplot(by="group", vert=vert, xlabel=xlabel, ylabel=ylabel)
+        ax = df.boxplot(by="group", xlabel=xlabel, ylabel=ylabel, **vert)
         for subplot in ax:
             assert subplot.get_xlabel() == xlabel
             assert subplot.get_ylabel() == ylabel
         mpl.pyplot.close()
 
-    @pytest.mark.parametrize("vert", [True, False])
-    def test_boxplot_group_no_xlabel_ylabel(self, vert):
+    @pytest.mark.filterwarnings("ignore:set_ticklabels:UserWarning")
+    def test_boxplot_group_no_xlabel_ylabel(self, vert, request):
+        if Version(mpl.__version__) >= Version("3.10") and vert == {
+            "orientation": "horizontal"
+        }:
+            request.applymarker(
+                pytest.mark.xfail(reason=f"{vert} fails starting with matplotlib 3.10")
+            )
         df = DataFrame(
             {
                 "a": np.random.default_rng(2).standard_normal(10),
                 "b": np.random.default_rng(2).standard_normal(10),
                 "group": np.random.default_rng(2).choice(["group1", "group2"], 10),
             }
         )
-        ax = df.boxplot(by="group", vert=vert)
+        ax = df.boxplot(by="group", **vert)
         for subplot in ax:
-            target_label = subplot.get_xlabel() if vert else subplot.get_ylabel()
+            target_label = (
+                subplot.get_xlabel()
+                if vert == {"vert": True}  # noqa: PLR1714
+                or vert == {"orientation": "vertical"}
+                else subplot.get_ylabel()
+            )
             assert target_label == pprint_thing(["group"])
         mpl.pyplot.close()