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BUG: datetime64[us] arrays with NaT cannot be cast to DatetimeIndex #13770

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BUG: datetime64[us] arrays with NaT cannot be cast to DatetimeIndex #13770

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2 changes: 2 additions & 0 deletions doc/source/whatsnew/v0.19.0.txt
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Original file line number Diff line number Diff line change
Expand Up @@ -747,6 +747,8 @@ Bug Fixes
- Bug in invalid datetime parsing in ``to_datetime`` and ``DatetimeIndex`` may raise ``TypeError`` rather than ``ValueError`` (:issue:`11169`, :issue:`11287`)
- Bug in ``Index`` created with tz-aware ``Timestamp`` and mismatched ``tz`` option incorrectly coerces timezone (:issue:`13692`)
- Bug in ``DatetimeIndex`` with nanosecond frequency does not include timestamp specified with ``end`` (:issue:`13672`)
- Bug in ``DatetimeIndex`` may raise ``OutOfBoundsDatetime`` if input ``np.datetime64`` has other unit than ``ns`` (:issue:`9114`)


- Bug in ``Categorical.remove_unused_categories()`` changes ``.codes`` dtype to platform int (:issue:`13261`)
- Bug in ``groupby`` with ``as_index=False`` returns all NaN's when grouping on multiple columns including a categorical one (:issue:`13204`)
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11 changes: 11 additions & 0 deletions pandas/tseries/tests/test_timeseries.py
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Expand Up @@ -1595,6 +1595,17 @@ def test_dti_constructor_small_int(self):
arr = np.array([0, 10, 20], dtype=dtype)
tm.assert_index_equal(DatetimeIndex(arr), exp)

def test_dti_constructor_numpy_timeunits(self):
# GH 9114
base = pd.to_datetime(['2000-01-01T00:00', '2000-01-02T00:00', 'NaT'])

for dtype in ['datetime64[h]', 'datetime64[m]', 'datetime64[s]',
'datetime64[ms]', 'datetime64[us]', 'datetime64[ns]']:
values = base.values.astype(dtype)

tm.assert_index_equal(DatetimeIndex(values), base)
tm.assert_index_equal(to_datetime(values), base)

def test_normalize(self):
rng = date_range('1/1/2000 9:30', periods=10, freq='D')

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