Fix

pandas/plotting/_matplotlib/compat.py

@@ -20,4 +20,3 @@ def inner():
 mpl_ge_3_4_0 = _mpl_version("3.4.0", operator.ge)
 mpl_ge_3_5_0 = _mpl_version("3.5.0", operator.ge)
 mpl_ge_3_6_0 = _mpl_version("3.6.0", operator.ge)
-mpl_ge_3_6_0 = _mpl_version("3.6.0", operator.ge)

pandas/plotting/_matplotlib/core.py

@@ -1229,7 +1229,7 @@ def _make_plot(self):
         if is_integer_dtype(c_values):
             # pandas uses colormap, matplotlib uses cmap.
             cmap = self.colormap or "Greys"
-            if mpl_ge_3_6_0:
+            if mpl_ge_3_6_0():
                 cmap = mpl.colormaps[cmap]
             else:
                 cmap = self.plt.cm.get_cmap(cmap)
@@ -1300,7 +1300,7 @@ def _make_plot(self) -> None:
         ax = self.axes[0]
         # pandas uses colormap, matplotlib uses cmap.
         cmap = self.colormap or "BuGn"
-        if mpl_ge_3_6_0:
+        if mpl_ge_3_6_0():
             cmap = mpl.colormaps[cmap]
         else:
             cmap = self.plt.cm.get_cmap(cmap)

pandas/plotting/_matplotlib/style.py

@@ -158,7 +158,7 @@ def _get_cmap_instance(colormap: str | Colormap) -> Colormap:
     """Get instance of matplotlib colormap."""
     if isinstance(colormap, str):
         cmap = colormap
-        if mpl_ge_3_6_0:
+        if mpl_ge_3_6_0():
             colormap = mpl.colormaps[colormap]
         else:
             colormap = cm.get_cmap(colormap)

pandas/tests/plotting/frame/test_frame.py

@@ -35,12 +35,12 @@
 try:
     from pandas.plotting._matplotlib.compat import mpl_ge_3_6_0
 except ImportError:
-    mpl_ge_3_6_0 = True
+    mpl_ge_3_6_0 = lambda: True
 
 
 @td.skip_if_no_mpl
 class TestDataFramePlots(TestPlotBase):
-    @pytest.mark.xfail(mpl_ge_3_6_0, reason="Api changed")
+    @pytest.mark.xfail(mpl_ge_3_6_0(), reason="Api changed")
     @pytest.mark.slow
     def test_plot(self):
         df = tm.makeTimeDataFrame()

pandas/tests/plotting/test_datetimelike.py

@@ -42,7 +42,7 @@
 try:
     from pandas.plotting._matplotlib.compat import mpl_ge_3_6_0
 except ImportError:
-    mpl_ge_3_6_0 = True
+    mpl_ge_3_6_0 = lambda: True
 
 from pandas.tseries.offsets import WeekOfMonth
 
@@ -265,7 +265,7 @@ def test_plot_multiple_inferred_freq(self):
         ser = Series(np.random.randn(len(dr)), index=dr)
         _check_plot_works(ser.plot)
 
-    @pytest.mark.xfail(mpl_ge_3_6_0, reason="Api changed")
+    @pytest.mark.xfail(mpl_ge_3_6_0(), reason="Api changed")
     def test_uhf(self):
         import pandas.plotting._matplotlib.converter as conv
 
@@ -1215,7 +1215,7 @@ def test_secondary_legend(self):
         # TODO: color cycle problems
         assert len(colors) == 4
 
-    @pytest.mark.xfail(mpl_ge_3_6_0, reason="Api changed")
+    @pytest.mark.xfail(mpl_ge_3_6_0(), reason="Api changed")
     def test_format_date_axis(self):
         rng = date_range("1/1/2012", periods=12, freq="M")
         df = DataFrame(np.random.randn(len(rng), 3), rng)

pandas/tests/plotting/test_hist_method.py

@@ -21,7 +21,7 @@
 try:
     from pandas.plotting._matplotlib.compat import mpl_ge_3_6_0
 except ImportError:
-    mpl_ge_3_6_0 = True
+    mpl_ge_3_6_0 = lambda: True
 
 
 @pytest.fixture
@@ -196,7 +196,7 @@ def test_hist_kwargs(self, ts):
         ax = ts.plot.hist(align="left", stacked=True, ax=ax)
         tm.close()
 
-    @pytest.mark.xfail(mpl_ge_3_6_0, reason="Api changed")
+    @pytest.mark.xfail(mpl_ge_3_6_0(), reason="Api changed")
     @td.skip_if_no_scipy
     def test_hist_kde(self, ts):
 

pandas/tests/plotting/test_series.py

@@ -24,7 +24,7 @@
 try:
     from pandas.plotting._matplotlib.compat import mpl_ge_3_6_0
 except ImportError:
-    mpl_ge_3_6_0 = True
+    mpl_ge_3_6_0 = lambda: True
 
 
 @pytest.fixture
@@ -498,7 +498,7 @@ def test_kde_missing_vals(self):
         # gh-14821: check if the values have any missing values
         assert any(~np.isnan(axes.lines[0].get_xdata()))
 
-    @pytest.mark.xfail(mpl_ge_3_6_0, reason="Api changed")
+    @pytest.mark.xfail(mpl_ge_3_6_0(), reason="Api changed")
     def test_boxplot_series(self, ts):
         _, ax = self.plt.subplots()
         ax = ts.plot.box(logy=True, ax=ax)