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TST: Test for issues pandas-dev#26186 and pandas-dev#11465
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pandas/tests/plotting/test_frame.py

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@@ -3316,6 +3316,40 @@ def test_missing_markers_legend_using_style(self):
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self._check_legend_labels(ax, labels=["A", "B", "C"])
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self._check_legend_marker(ax, expected_markers=[".", ".", "."])
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@pytest.mark.slow
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@pytest.mark.parametrize("method", ["bar", "barh"])
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def test_bar_ticklabel_consistence(self, method):
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# Draw two consecutiv bar plot with consistent ticklabels
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# GH: 26186
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def get_main_axis(ax):
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if method == "barh":
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return ax.yaxis
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elif method == "bar":
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return ax.xaxis
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data = {"A": 0, "B": 3, "C": -4}
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df = pd.DataFrame.from_dict(data, orient="index", columns=["Value"])
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ax = getattr(df.plot, method)()
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ax.get_figure().canvas.draw()
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xticklabels = [t.get_text() for t in get_main_axis(ax).get_ticklabels()]
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label_positions_1 = dict(zip(xticklabels, get_main_axis(ax).get_ticklocs()))
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df = df.sort_values("Value") * -2
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ax = getattr(df.plot, method)(ax=ax, color="red")
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ax.get_figure().canvas.draw()
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xticklabels = [t.get_text() for t in get_main_axis(ax).get_ticklabels()]
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label_positions_2 = dict(zip(xticklabels, get_main_axis(ax).get_ticklocs()))
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assert label_positions_1 == label_positions_2
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def test_bar_numeric(self):
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# Bar plot with numeric index have tick location values equal to index
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# values
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# GH: 11465
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index = np.arange(10, 20)
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df = pd.DataFrame(np.random.rand(10), index=np.arange(10, 20))
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ax = df.plot.bar()
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ticklocs = ax.xaxis.get_ticklocs()
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tm.assert_numpy_array_equal(ticklocs, index)
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def _generate_4_axes_via_gridspec():
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import matplotlib.pyplot as plt

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