8000 FIX: fix cleanup warnings for errorbar timeseries by ivanovmg · Pull Request #36982 · pandas-dev/pandas · GitHub
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FIX: fix cleanup warnings for errorbar timeseries #36982

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Merged
merged 6 commits into from
Oct 10, 2020
Merged

FIX: fix cleanup warnings for errorbar timeseries #36982

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1c04f3c
FIX: fix cleanup warnings for errorbar timeseries
ivanovmg Oct 8, 2020
4083380
REF: refactor using assert_produces_warning
ivanovmg Oct 9, 2020
73bf910
REF: catch warning in test_errorbar_plot
ivanovmg Oct 9, 2020
d5a9e5e
REF: extract test_errorbar_plot_different_kinds
ivanovmg Oct 9, 2020
198fd1e
REF: check errorbars for list-like axes
ivanovmg Oct 9, 2020
762b9b9
FIX: fix comments
ivanovmg Oct 9, 2020
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REF: check errorbars for list-like axes
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@ivanovmg
ivanovmg committed Oct 9, 2020
commit 198fd1eec298ab08a1c75b6e70642b2a0f462b62
18 changes: 4 additions & 14 deletions pandas/tests/plotting/test_frame.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2706,8 +2706,6 @@ def test_errorbar_plot(self):
@pytest.mark.slow
@pytest.mark.parametrize("kind", ["line", "bar", "barh"])
def test_errorbar_plot_different_kinds(self, kind):
import matplotlib.pyplot as plt

d = {"x": np.arange(12), "y": np.arange(12, 0, -1)}
df = DataFrame(d)
d_err = {"x": np.ones(12) * 0.2, "y": np.ones(12) * 0.4}
Expand All @@ -2734,13 +2732,10 @@ def test_errorbar_plot_different_kinds(self, kind):
# UserWarning: To output multiple subplots,
# the figure containing the passed axes is being cleared
# Similar warnings were observed in GH #13188
_check_plot_works(
axes = _check_plot_works(
df.plot, yerr=df_err, xerr=df_err, subplots=True, kind=kind
)
fig = plt.gcf()
axes = fig.get_axes()
for ax in axes:
self._check_has_errorbars(ax, xerr=1, yerr=1)
self._check_has_errorbars(axes, xerr=1, yerr=1)

@pytest.mark.xfail(reason="Iterator is consumed", raises=ValueError)
@pytest.mark.slow
Expand Down Expand Up @@ -2789,8 +2784,6 @@ def test_errorbar_with_partial_columns(self):
@pytest.mark.slow
@pytest.mark.parametrize("kind", ["line", "bar", "barh"])
def test_errorbar_timeseries(self, kind):
import matplotlib.pyplot as plt

d = {"x": np.arange(12), "y": np.arange(12, 0, -1)}
d_err = {"x": np.ones(12) * 0.2, "y": np.ones(12) * 0.4}

Expand Down Expand Up @@ -2820,11 +2813,8 @@ def test_errorbar_timeseries(self, kind):
# UserWarning: To output multiple subplots,
# the figure containing the passed axes is being cleared
# Similar warnings were observed in GH #13188
_check_plot_works(tdf.plot, kind=kind, yerr=tdf_err, subplots=True)
fig = plt.gcf()
axes = fig.get_axes()
for ax in axes:
self._check_has_errorbars(ax, xerr=0, yerr=1)
axes = _check_plot_works(tdf.plot, kind=kind, yerr=tdf_err, subplots=True)
self._check_has_errorbars(axes, xerr=0, yerr=1)

def test_errorbar_asymmetrical(self):

Expand Down
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