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TST: clean deprecation warnings for xref #19980 #20013

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Mar 6, 2018
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TST: clean deprecation warnings for xref #19980 #20013

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45 changes: 27 additions & 18 deletions pandas/tests/plotting/test_datetimelike.py
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Original file line number Diff line number Diff line change
Expand Up @@ -111,12 +111,15 @@ def test_tsplot_deprecated(self):

@pytest.mark.slow
def test_tsplot(self):

from pandas.tseries.plotting import tsplot

_, ax = self.plt.subplots()
ts = tm.makeTimeSeries()

f = lambda *args, **kwds: tsplot(s, self.plt.Axes.plot, *args, **kwds)
def f(*args, **kwds):
with tm.assert_produces_warning(FutureWarning):
return tsplot(s, self.plt.Axes.plot, *args, **kwds)

for s in self.period_ser:
_check_plot_works(f, s.index.freq, ax=ax, series=s)
Expand Down Expand Up @@ -188,11 +191,13 @@ def check_format_of_first_point(ax, expected_string):
tm.close()

# tsplot
_, ax = self.plt.subplots()
from pandas.tseries.plotting import tsplot
tsplot(annual, self.plt.Axes.plot, ax=ax)
_, ax = self.plt.subplots()
with tm.assert_produces_warning(FutureWarning):
tsplot(annual, self.plt.Axes.plot, ax=ax)
check_format_of_first_point(ax, 't = 2014 y = 1.000000')
tsplot(daily, self.plt.Axes.plot, ax=ax)
with tm.assert_produces_warning(FutureWarning):
tsplot(daily, self.plt.Axes.plot, ax=ax)
check_format_of_first_point(ax, 't = 2014-01-01 y = 1.000000')

@pytest.mark.slow
Expand Down Expand Up @@ -879,12 +884,12 @@ def test_to_weekly_resampling(self):
for l in ax.get_lines():
assert PeriodIndex(data=l.get_xdata()).freq == idxh.freq

# tsplot
from pandas.tseries.plotting import tsplot

_, ax = self.plt.subplots()
tsplot(high, self.plt.Axes.plot, ax=ax)
lines = tsplot(low, self.plt.Axes.plot, ax=ax)
from pandas.tseries.plotting import tsplot
with tm.assert_produces_warning(FutureWarning):
tsplot(high, self.plt.Axes.plot, ax=ax)
with tm.assert_produces_warning(FutureWarning):
lines = tsplot(low, self.plt.Axes.plot, ax=ax)
for l in lines:
assert PeriodIndex(data=l.get_xdata()).freq == idxh.freq

Expand All @@ -910,12 +915,12 @@ def test_from_weekly_resampling(self):
tm.assert_numpy_array_equal(xdata, expected_h)
tm.close()

# tsplot
from pandas.tseries.plotting import tsplot

_, ax = self.plt.subplots()
tsplot(low, self.plt.Axes.plot, ax=ax)
lines = tsplot(high, self.plt.Axes.plot, ax=ax)
from pandas.tseries.plotting import tsplot
with tm.assert_produces_warning(FutureWarning):
tsplot(low, self.plt.Axes.plot, ax=ax)
with tm.assert_produces_warning(FutureWarning):
lines = tsplot(high, self.plt.Axes.plot, ax=ax)
for l in lines:
assert PeriodIndex(data=l.get_xdata()).freq == idxh.freq
xdata = l.get_xdata(orig=False)
Expand Down Expand Up @@ -1351,9 +1356,11 @@ def test_plot_outofbounds_datetime(self):
values = [datetime(1677, 1, 1, 12), datetime(1677, 1, 2, 12)]
ax.plot(values)

@pytest.mark.skip(
is_platform_mac(),
"skip on mac for precision display issue on older mpl")
@pytest.mark.xfail(reason="suspect on mpl 2.2.2")
def test_format_timedelta_ticks_narrow(self):
if is_platform_mac():
pytest.skip("skip on mac for precision display issue on older mpl")

if self.mpl_ge_2_0_0:
expected_labels = [''] + [
Expand All @@ -1374,9 +1381,11 @@ def test_format_timedelta_ticks_narrow(self):
for l, l_expected in zip(labels, expected_labels):
assert l.get_text() == l_expected

@pytest.mark.skip(
is_platform_mac(),
"skip on mac for precision display issue on older mpl")
@pytest.mark.xfail(reason="suspect on mpl 2.2.2")
def test_format_timedelta_ticks_wide(self):
if is_platform_mac():
pytest.skip("skip on mac for precision display issue on older mpl")

if self.mpl_ge_2_0_0:
expected_labels = [
Expand Down