Matplotlib 3.0 compatibility #22790
Description
I have some local failures with matplotlib 3.x only
========================================================================= FAILURES =========================================================================
______________________________________________________ TestTSPlot.test_matplotlib_scatter_datetime64 _______________________________________________________
self = <pandas.tests.plotting.test_datetimelike.TestTSPlot object at 0x118a34cf8>
def test_matplotlib_scatter_datetime64(self):
# https://github.com/matplotlib/matplotlib/issues/11391
df = DataFrame(np.random.RandomState(0).rand(10, 2),
columns=["x", "y"])
df["time"] = date_range("2018-01-01", periods=10, freq="D")
fig, ax = self.plt.subplots()
ax.scatter(x="time", y="y", data=df)
fig.canvas.draw()
label = ax.get_xticklabels()[0]
> assert label.get_text() == '2017-12-12'
E AssertionError: assert '2017-12-08' == '2017-12-12'
E - 2017-12-08
E ? ^^
E + 2017-12-12
E ? ^^
pandas/tests/plotting/test_datetimelike.py:1495: AssertionError
_________________________________________ TestDataFramePlots.test_if_scatterplot_colorbar_affects_xaxis_visibility _________________________________________
self = <pandas.tests.plotting.test_frame.TestDataFramePlots object at 0x11c340160>
@pytest.mark.slow
def test_if_scatterplot_colorbar_affects_xaxis_visibility(self):
# addressing issue #10611, to ensure colobar does not
# interfere with x-axis label and ticklabels with
# ipython inline backend.
random_array = np.random.random((1000, 3))
df = pd.DataFrame(random_array,
columns=['A label', 'B label', 'C label'])
ax1 = df.plot.scatter(x='A label', y='B label')
ax2 = df.plot.scatter(x='A label', y='B label', c='C label')
vis1 = [vis.get_visible() for vis in
ax1.xaxis.get_minorticklabels()]
vis2 = [vis.get_visible() for vis in
ax2.xaxis.get_minorticklabels()]
> assert vis1 == vis2
E assert [] == [False, False, False, False, False, False, ...]
E Right contains more items, first extra item: False
E Use -v to get the full diff
pandas/tests/plotting/test_frame.py:1106: AssertionError
_________________________________________________ TestDataFramePlots.test_if_hexbin_xaxis_label_is_visible _________________________________________________
self = <pandas.tests.plotting.test_frame.TestDataFramePlots object at 0x11918ba58>
@pytest.mark.slow
def test_if_hexbin_xaxis_label_is_visible(self):
# addressing issue #10678, to ensure colobar does not
# interfere with x-axis label and ticklabels with
# ipython inline backend.
random_array = np.random.random((1000, 3))
df = pd.DataFrame(random_array,
columns=['A label', 'B label', 'C label'])
ax = df.plot.hexbin('A label', 'B label', gridsize=12)
> assert all(vis.get_visible() for vis in
ax.xaxis.get_minorticklabels())
E assert False
E + where False = all(<generator object TestDataFramePlots.test_if_hexbin_xaxis_label_is_visible.<locals>.<genexpr> at 0x11c69c990>)
pandas/tests/plotting/test_frame.py:1127: AssertionError
Our CI will start failing once these hit defaults.