TST: Clean tests/plotting

pandas/plotting/_matplotlib/compat.py

@@ -10,18 +10,10 @@ def inner():
             import matplotlib as mpl
         except ImportError:
             return False
-        return (
-            op(Version(mpl.__version__), Version(version))
-            and str(mpl.__version__)[0] != "0"
-        )
+        return op(Version(mpl.__version__), Version(version))
 
     return inner
 
 
-mpl_ge_2_2_3 = _mpl_version("2.2.3", operator.ge)
-mpl_ge_3_0_0 = _mpl_version("3.0.0", operator.ge)
-mpl_ge_3_1_0 = _mpl_version("3.1.0", operator.ge)
-mpl_ge_3_2_0 = _mpl_version("3.2.0", operator.ge)
-mpl_ge_3_3_0 = _mpl_version("3.3.0", operator.ge)
 mpl_ge_3_4_0 = _mpl_version("3.4.0", operator.ge)
 mpl_ge_3_5_0 = _mpl_version("3.5.0", operator.ge)

pandas/plotting/_matplotlib/core.py

@@ -42,7 +42,6 @@
 from pandas.core.frame import DataFrame
 
 from pandas.io.formats.printing import pprint_thing
-from pandas.plotting._matplotlib.compat import mpl_ge_3_0_0
 from pandas.plotting._matplotlib.converter import register_pandas_matplotlib_converters
 from pandas.plotting._matplotlib.groupby import reconstruct_data_with_by
 from pandas.plotting._matplotlib.style import get_standard_colors
@@ -1032,29 +1031,7 @@ def _plot_colorbar(self, ax: Axes, **kwds):
         # use the last one which contains the latest information
         # about the ax
         img = ax.collections[-1]
-        cbar = self.fig.colorbar(img, ax=ax, **kwds)
-
-        if mpl_ge_3_0_0():
-            # The workaround below is no longer necessary.
-            return cbar
-
-        points = ax.get_position().get_points()
-        cbar_points = cbar.ax.get_position().get_points()
-
-        cbar.ax.set_position(
-            [
-                cbar_points[0, 0],
-                points[0, 1],
-                cbar_points[1, 0] - cbar_points[0, 0],
-                points[1, 1] - points[0, 1],
-            ]
-        )
-        # To see the discrepancy in axis heights uncomment
-        # the following two lines:
-        # print(points[1, 1] - points[0, 1])
-        # print(cbar_points[1, 1] - cbar_points[0, 1])
-
-        return cbar
+        return self.fig.colorbar(img, ax=ax, **kwds)
 
 
 class ScatterPlot(PlanePlot):

pandas/plotting/_matplotlib/tools.py

@@ -388,12 +388,8 @@ def handle_shared_axes(
     sharey: bool,
 ):
     if nplots > 1:
-        if compat.mpl_ge_3_2_0():
-            row_num = lambda x: x.get_subplotspec().rowspan.start
-            col_num = lambda x: x.get_subplotspec().colspan.start
-        else:
-            row_num = lambda x: x.rowNum
-            col_num = lambda x: x.colNum
+        row_num = lambda x: x.get_subplotspec().rowspan.start
+        col_num = lambda x: x.get_subplotspec().colspan.start
 
         if compat.mpl_ge_3_4_0():
             is_first_col = lambda x: x.get_subplotspec().is_first_col()

pandas/tests/plotting/common.py

@@ -7,7 +7,6 @@
 
 from __future__ import annotations
 
-import os
 from typing import (
     TYPE_CHECKING,
     Sequence,
@@ -22,11 +21,7 @@
 from pandas.core.dtypes.api import is_list_like
 
 import pandas as pd
-from pandas import (
-    DataFrame,
-    Series,
-    to_datetime,
-)
+from pandas import Series
 import pandas._testing as tm
 
 if TYPE_CHECKING:
@@ -39,62 +34,12 @@ class TestPlotBase:
     This is a common base class used for various plotting tests
     """
 
-    def setup_method(self, method):
-
+    def setup_method(self):
         import matplotlib as mpl
 
-        from pandas.plotting._matplotlib import compat
-
-        self.compat = compat
-
         mpl.rcdefaults()
 
-        self.start_date_to_int64 = 812419200000000000
-        self.end_date_to_int64 = 819331200000000000
-
-        self.mpl_ge_2_2_3 = compat.mpl_ge_2_2_3()
-        self.mpl_ge_3_0_0 = compat.mpl_ge_3_0_0()
-        self.mpl_ge_3_1_0 = compat.mpl_ge_3_1_0()
-        self.mpl_ge_3_2_0 = compat.mpl_ge_3_2_0()
-
-        self.bp_n_objects = 7
-        self.polycollection_factor = 2
-        self.default_figsize = (6.4, 4.8)
-        self.default_tick_position = "left"
-
-        n = 100
-        with tm.RNGContext(42):
-            gender = np.random.choice(["Male", "Female"], size=n)
-            classroom = np.random.choice(["A", "B", "C"], size=n)
-
-            self.hist_df = DataFrame(
-                {
-                    "gender": gender,
-                    "classroom": classroom,
-                    "height": np.random.normal(66, 4, size=n),
-                    "weight": np.random.normal(161, 32, size=n),
-                    "category": np.random.randint(4, size=n),
-                    "datetime": to_datetime(
-                        np.random.randint(
-                            self.start_date_to_int64,
-                            self.end_date_to_int64,
-                            size=n,
-                            dtype=np.int64,
-                        )
-                    ),
-                }
-            )
-
-        self.tdf = tm.makeTimeDataFrame()
-        self.hexbin_df = DataFrame(
-            {
-                "A": np.random.uniform(size=20),
-                "B": np.random.uniform(size=20),
-                "C": np.arange(20) + np.random.uniform(size=20),
-            }
-        )
-
-    def teardown_method(self, method):
+    def teardown_method(self):
         tm.close()
 
     @cache_readonly
@@ -166,13 +111,12 @@ def _check_data(self, xp, rs):
         xp_lines = xp.get_lines()
         rs_lines = rs.get_lines()
 
-        def check_line(xpl, rsl):
+        assert len(xp_lines) == len(rs_lines)
+        for xpl, rsl in zip(xp_lines, rs_lines):
             xpdata = xpl.get_xydata()
             rsdata = rsl.get_xydata()
             tm.assert_almost_equal(xpdata, rsdata)
 
-        assert len(xp_lines) == len(rs_lines)
-        [check_line(xpl, rsl) for xpl, rsl in zip(xp_lines, rs_lines)]
         tm.close()
 
     def _check_visible(self, collections, visible=True):
@@ -387,7 +331,7 @@ def _check_axes_shape(self, axes, axes_num=None, layout=None, figsize=None):
         from pandas.plotting._matplotlib.tools import flatten_axes
 
         if figsize is None:
-            figsize = self.default_figsize
+            figsize = (6.4, 4.8)
         visible_axes = self._flatten_visible(axes)
 
         if axes_num is not None:
@@ -525,15 +469,8 @@ def _check_grid_settings(self, obj, kinds, kws={}):
         def is_grid_on():
             xticks = self.plt.gca().xaxis.get_major_ticks()
             yticks = self.plt.gca().yaxis.get_major_ticks()
-            # for mpl 2.2.2, gridOn and gridline.get_visible disagree.
-            # for new MPL, they are the same.
-
-            if self.mpl_ge_3_1_0:
-                xoff = all(not g.gridline.get_visible() for g in xticks)
-                yoff = all(not g.gridline.get_visible() for g in yticks)
-            else:
-                xoff = all(not g.gridOn for g in xticks)
-                yoff = all(not g.gridOn for g in yticks)
+            xoff = all(not g.gridline.get_visible() for g in xticks)
+            yoff = all(not g.gridline.get_visible() for g in yticks)
 
             return not (xoff and yoff)
 
@@ -572,10 +509,18 @@ def _unpack_cycler(self, rcParams, field="color"):
         return [v[field] for v in rcParams["axes.prop_cycle"]]
 
     def get_x_axis(self, ax):
-        return ax._shared_axes["x"] if self.compat.mpl_ge_3_5_0() else ax._shared_x_axes
+        from pandas.plotting._matplotlib.compat import mpl_ge_3_5_0
+
+        if mpl_ge_3_5_0():
+            return ax._shared_axes["x"]
+        return ax._shared_x_axes
 
     def get_y_axis(self, ax):
-        return ax._shared_axes["y"] if self.compat.mpl_ge_3_5_0() else ax._shared_y_axes
+        from pandas.plotting._matplotlib.compat import mpl_ge_3_5_0
+
+        if mpl_ge_3_5_0():
+            return ax._shared_axes["y"]
+        return ax._shared_y_axes
 
 
 def _check_plot_works(f, filterwarnings="always", default_axes=False, **kwargs):
@@ -656,8 +601,3 @@ def _gen_two_subplots(f, fig, **kwargs):
     else:
         kwargs["ax"] = fig.add_subplot(212)
     yield f(**kwargs)
-
-
-def curpath():
-    pth, _ = os.path.split(os.path.abspath(__file__))
-    return pth

pandas/tests/plotting/conftest.py

@@ -0,0 +1,35 @@
+import numpy as np
+import pytest
+
+from pandas import (
+    DataFrame,
+    to_datetime,
+)
+import pandas._testing as tm
+
+
+@pytest.fixture
+def hist_df():
+    n = 100
+    with tm.RNGContext(42):
+        gender = np.random.choice(["Male", "Female"], size=n)
+        classroom = np.random.choice(["A", "B", "C"], size=n)
+
+        hist_df = DataFrame(
+            {
+                "gender": gender,
+                "classroom": classroom,
+                "height": np.random.normal(66, 4, size=n),
+                "weight": np.random.normal(161, 32, size=n),
+                "category": np.random.randint(4, size=n),
+                "datetime": to_datetime(
+                    np.random.randint(
+                        812419200000000000,
+                        819331200000000000,
+                        size=n,
+                        dtype=np.int64,
+                    )
+                ),
+            }
+        )
+    return hist_df