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Ensure that DatetimeArray keeps reference to original data #23956

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Merged
merged 3 commits into from
Nov 28, 2018
Merged

Ensure that DatetimeArray keeps reference to original data #23956

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Ensure that DatetimeArray keeps reference to original data
TomAugspurger Nov 27, 2018
86549e5
Merge remote-tracking branch 'upstream/master' into dta-ctor-data
TomAugspurger Nov 28, 2018
a77a24a
REF: use .view
TomAugspurger Nov 28, 2018
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4 changes: 2 additions & 2 deletions pandas/_libs/tslibs/conversion.pyx
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Original file line number Diff line number Diff line change
Expand Up @@ -99,11 +99,11 @@ def ensure_datetime64ns(arr: ndarray, copy: bool=True):

ivalues = arr.view(np.int64).ravel()

result = np.empty(shape, dtype='M8[ns]')
result = np.empty(shape, dtype=NS_DTYPE)
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To be clear: this change is cosmetic. The real change is below.

iresult = result.ravel().view(np.int64)

if len(iresult) == 0:
return result
return arr.astype(NS_DTYPE, copy=copy)

unit = get_datetime64_unit(arr.flat[0])
if unit == NPY_FR_ns:
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9 changes: 9 additions & 0 deletions pandas/tests/arrays/test_datetimelike.py
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Expand Up @@ -167,6 +167,15 @@ def test_array_i8_dtype(self, tz_naive_fixture):
assert result.base is expected.base
assert result.base is not None

def test_from_array_keeps_base(self):
# Ensure that DatetimeArray._data.base isn't lost.
arr = np.array(['2000-01-01', '2000-01-02'], dtype='M8[ns]')
dta = DatetimeArray(arr)

assert dta._data is arr
dta = DatetimeArray(arr[:0])
assert dta._data.base is arr

def test_from_dti(self, tz_naive_fixture):
tz = tz_naive_fixture
dti = pd.date_range('2016-01-01', periods=3, tz=tz)
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