8000 BUG: Retain timezone information in to_datetime if box=False by mroeschke · Pull Request #22457 · pandas-dev/pandas · GitHub
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BUG: Retain timezone information in to_datetime if box=False #22457

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Merged
merged 3 commits into from
Aug 24, 2018
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BUG: Retain timezone information in to_datetime if box=False #22457

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78adc8d
BUG: Retain timezone information in to_datetime if box=False
Aug 22, 2018
975b693
fix test and add issue number to whatsnew
Aug 22, 2018
9f5f924
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Aug 23, 2018
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fix test and add issue number to whatsnew
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Matt Roeschke committed Aug 22, 2018
commit 975b6934aea7c1fa4d4025a0c499506ab195ae25
2 changes: 1 addition & 1 deletion doc/source/whatsnew/v0.24.0.txt
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Expand Up @@ -237,7 +237,7 @@ without timezone localization. This is inconsistent from parsing the same
datetime string with :class:`Timestamp` which would preserve the UTC
offset in the ``tz`` attribute. Now, :func:`to_datetime` preserves the UTC
offset in the ``tz`` attribute when all the datetime strings have the same
UTC offset (:issue:`17697`, :issue:`11736`)
UTC offset (:issue:`17697`, :issue:`11736`, :issue:`22457`)

*Previous Behavior*:

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7 changes: 3 additions & 4 deletions pandas/tests/test_algos.py
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Expand Up @@ -330,10 +330,9 @@ def test_datetime64_dtype_array_returned(self):
'2015-01-01T00:00:00.000000000+0000'],
dtype='M8[ns]')

dt_index = pd.to_datetime(['2015-01-03T00:00:00.000000000+0000',
'2015-01-01T00:00:00.000000000+0000',
'2015-01-01T00:00:00.000000000+0000'],
box=False)
dt_index = pd.to_datetime(['2015-01-03T00:00:00.000000000',
'2015-01-01T00:00:00.000000000',
'2015-01-01T00:00:00.000000000'])
result = algos.unique(dt_index)
tm.assert_numpy_array_equal(result, expected)
assert result.dtype == expected.dtype
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