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Fix DatetimeIndex.insert(pd.NaT) for tz-aware index #18883

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Merged
merged 8 commits into from
Dec 29, 2017
Merged

Fix DatetimeIndex.insert(pd.NaT) for tz-aware index #18883

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83e7105
Fix insert NaT into tzaware datetime index
jbrockmendel Dec 20, 2017
5a469d2
Whatsnew note
jbrockmendel Dec 20, 2017
664c800
edit whatsnew, test several null types
jbrockmendel Dec 21, 2017
85ba78c
edits per reviewer requests
jbrockmendel Dec 21, 2017
3d429df
Merge branch 'master' of https://github.com/pandas-dev/pandas into in…
jbrockmendel Dec 21, 2017
a1df0f7
Merge branch 'master' of https://github.com/pandas-dev/pandas into in…
jbrockmendel Dec 24, 2017
31e3581
fix typo
jbrockmendel Dec 24, 2017
8934f66
parametrize more
jbrockmendel Dec 29, 2017
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1 change: 1 addition & 0 deletions doc/source/whatsnew/v0.22.0.txt
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Expand Up @@ -294,6 +294,7 @@ Indexing
- Bug in tz-aware :class:`DatetimeIndex` where addition/subtraction with a :class:`TimedeltaIndex` or array with ``dtype='timedelta64[ns]'`` was incorrect (:issue:`17558`)
- :func:`Index.to_series` now accepts ``index`` and ``name`` kwargs (:issue:`18699`)
- :func:`DatetimeIndex.to_series` now accepts ``index`` and ``name`` kwargs (:issue:`18699`)
- Bug in :func:`DatetimeIndex.insert` where inserting ``NaT`` into a timezone-aware index incorrectly raised (:issue:`16357`)

I/O
^^^
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3 changes: 2 additions & 1 deletion pandas/core/indexes/datetimes.py
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Expand Up @@ -1776,7 +1776,8 @@ def insert(self, loc, item):

if isinstance(item, (datetime, np.datetime64)):
self._assert_can_do_op(item)
if not self._has_same_tz(item):
if not self._has_same_tz(item) and item is not self._na_value:
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notnull(item)

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Will change, but FYI they are equivalent here. notnull(item) was checked above in which case it was replaced with self._na_value.

# GH#16537 allow pd.NaT through
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comment not needed

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Will change, but sure we don't want the issue reference?

raise ValueError(
'Passed item and index have different timezone')
# check freq can be preserved on edge cases
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16 changes: 9 additions & 7 deletions pandas/tests/indexes/datetimes/test_indexing.py
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Expand Up @@ -46,6 +46,15 @@ def test_where_tz(self):
expected = i2
tm.assert_index_equal(result, expected)

@pytest.mark.parametrize('tz', [None, 'UTC', 'US/Eastern'])
def test_insert_nat(self, tz):
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@jschendel jschendel Dec 21, 2017 •
edited
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You could maybe parametrize over different NA values here, since this should work for inserting np.nan and None as well (shouldn't require any additional code changes). For example, on a tz-naive DTI:

In [2]: pd.date_range('20170101', periods=2).insert(0, np.nan)
Out[2]: DatetimeIndex(['NaT', '2017-01-01', '2017-01-02'], dtype='datetime64[ns]', freq=None)

In [3]: pd.date_range('20170101', periods=2).insert(0, None)
Out[3]: DatetimeIndex(['NaT', '2017-01-01', '2017-01-02'], dtype='datetime64[ns]', freq=None)

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If you do that, I suppose you could delete these lines in test_insert below, as to not duplicate things:

pandas/pandas/tests/indexes/datetimes/test_indexing.py

Lines 148 to 153 in ac8ac15

# GH 18295 (test missing)
expected = DatetimeIndex(
['20170101', pd.NaT, '20170102', '20170103', '20170104'])
for na in (np.nan, pd.NaT, None):
result = date_range('20170101', periods=4).insert(1, na)
tm.assert_index_equal(result, expected)

# GH#16537, GH#18295 (test missing)
idx = pd.DatetimeIndex(['2017-01-01'], tz=tz)
expected = pd.DatetimeIndex(['NaT', '2017-01-01'], tz=tz)
for null in [None, np.nan, pd.NaT]:
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can you pull this null into the paramaterization?

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Sure, pushing momentarily.

res = idx.insert(0, null)
tm.assert_index_equal(res, expected)

def test_insert(self):
idx = DatetimeIndex(
['2000-01-04', '2000-01-01', '2000-01-02'], name='idx')
Expand Down Expand Up @@ -145,13 +154,6 @@ def test_insert(self):
assert result.tz == expected.tz
assert result.freq is None

# GH 18295 (test missing)
expected = DatetimeIndex(
['20170101', pd.NaT, '20170102', '20170103', '20170104'])
for na in (np.nan, pd.NaT, None):
result = date_range('20170101', periods=4).insert(1, na)
tm.assert_index_equal(result, expected)

def test_delete(self):
idx = date_range(start='2000-01-01', periods=5, freq='M', name='idx')

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