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Support masked dates #24734

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Merged
merged 1 commit into from
Dec 16, 2022
Merged

Support masked dates #24734

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4 changes: 4 additions & 0 deletions lib/matplotlib/dates.py
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Original file line number Diff line number Diff line change
Expand Up @@ -444,7 +444,10 @@ def date2num(d):
if not iterable:
d = [d]

masked = np.ma.is_masked(d)
mask = np.ma.getmask(d)
d = np.asarray(d)

# convert to datetime64 arrays, if not already:
if not np.issubdtype(d.dtype, np.datetime64):
# datetime arrays
Expand All @@ -458,6 +461,7 @@ def date2num(d):
d = np.asarray(d)
d = d.astype('datetime64[us]')

d = np.ma.masked_array(d, mask=mask) if masked else d
d = _dt64_to_ordinalf(d)

return d if iterable else d[0]
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20 changes: 20 additions & 0 deletions lib/matplotlib/tests/test_dates.py
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Original file line number Diff line number Diff line change
Expand Up @@ -69,6 +69,26 @@ def test_date2num_NaT_scalar(units):
assert np.isnan(tmpl)


def test_date2num_masked():
# Without tzinfo
base = datetime.datetime(2022, 12, 15)
dates = np.ma.array([base + datetime.timedelta(days=(2 * i))
for i in range(7)], mask=[0, 1, 1, 0, 0, 0, 1])
npdates = mdates.date2num(dates)
np.testing.assert_array_equal(np.ma.getmask(npdates),
(False, True, True, False, False, False,
True))

# With tzinfo
base = datetime.datetime(2022, 12, 15, tzinfo=mdates.UTC)
dates = np.ma.array([base + datetime.timedelta(days=(2 * i))
for i in range(7)], mask=[0, 1, 1, 0, 0, 0, 1])
npdates = mdates.date2num(dates)
np.testing.assert_array_equal(np.ma.getmask(npdates),
(False, True, True, False, False, False,
True))


def test_date_empty():
# make sure we do the right thing when told to plot dates even
# if no date data has been presented, cf
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