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VIS: let PeriodConverter handle datetime64 data #18468

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Merged
merged 4 commits into from
Jan 23, 2018
Merged

VIS: let PeriodConverter handle datetime64 data #18468

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9acc4bf
VIS: let PeriodConverter handle datetime64 data
jorisvandenbossche Nov 24, 2017
2b6be32
Merge remote-tracking branch 'upstream/master' into plot-periodconver…
jorisvandenbossche Jan 21, 2018
86651c3
pep8
jorisvandenbossche Jan 21, 2018
f20f999
add xfail reason
jorisvandenbossche Jan 22, 2018
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4 changes: 2 additions & 2 deletions pandas/plotting/_converter.py
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Original file line number Diff line number Diff line change
Expand Up @@ -244,7 +244,7 @@ def _convert_1d(values, units, axis):
if not hasattr(axis, 'freq'):
raise TypeError('Axis must have `freq` set to convert to Periods')
valid_types = (compat.string_types, datetime,
Period, pydt.date, pydt.time)
Period, pydt.date, pydt.time, np.datetime64)
if (isinstance(values, valid_types) or is_integer(values) or
is_float(values)):
return get_datevalue(values, axis.freq)
Expand All @@ -263,7 +263,7 @@ def get_datevalue(date, freq):
if isinstance(date, Period):
return date.asfreq(freq).ordinal
elif isinstance(date, (compat.string_types, datetime,
pydt.date, pydt.time)):
pydt.date, pydt.time, np.datetime64)):
return Period(date, freq).ordinal
elif (is_integer(date) or is_float(date) or
(isinstance(date, (np.ndarray, Index)) and (date.size == 1))):
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28 changes: 13 additions & 15 deletions pandas/tests/plotting/test_converter.py
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Original file line number Diff line number Diff line change
Expand Up @@ -327,21 +327,19 @@ def test_conversion(self):
rs = self.pc.convert(Timestamp('2012-1-1'), None, self.axis)
assert rs == xp

# FIXME
# rs = self.pc.convert(
# np_datetime64_compat('2012-01-01'), None, self.axis)
# assert rs == xp
#
# rs = self.pc.convert(
# np_datetime64_compat('2012-01-01 00:00:00+0000'),
# None, self.axis)
# assert rs == xp
#
# rs = self.pc.convert(np.array([
# np_datetime64_compat('2012-01-01 00:00:00+0000'),
# np_datetime64_compat('2012-01-02 00:00:00+0000')]),
# None, self.axis)
# assert rs[0] == xp
rs = self.pc.convert(
np_datetime64_compat('2012-01-01'), None, self.axis)
assert rs == xp

rs = self.pc.convert(
np_datetime64_compat('2012-01-01 00:00:00+0000'), None, self.axis)
assert rs == xp

rs = self.pc.convert(np.array([
np_datetime64_compat('2012-01-01 00:00:00+0000'),
np_datetime64_compat('2012-01-02 00:00:00+0000')]),
None, self.axis)
assert rs[0] == xp

def test_integer_passthrough(self):
# GH9012
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13 changes: 13 additions & 0 deletions pandas/tests/plotting/test_datetimelike.py
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Expand Up @@ -1449,6 +1449,19 @@ def test_overlapping_datetime(self):
s2.plot(ax=ax)
s1.plot(ax=ax)

@pytest.mark.xfail(reason="GH9053 matplotlib does not use"
" ax.xaxis.converter")
def test_add_matplotlib_datetime64(self):
# GH9053 - ensure that a plot with PeriodConverter still understands
# datetime64 data. This still fails because matplotlib overrides the
# ax.xaxis.converter with a DatetimeConverter
s = Series(np.random.randn(10),
index=date_range('1970-01-02', periods=10))
ax = s.plot()
ax.plot(s.index, s.values, color='g')
l1, l2 = ax.lines
tm.assert_numpy_array_equal(l1.get_xydata(), l2.get_xydata())


def _check_plot_works(f, freq=None, series=None, *args, **kwargs):
import matplotlib.pyplot as plt
Expand Down