8000 BUG: Issues with DatetimeTZ values in where and combine_first (#21469 + #21546) by Liam3851 · Pull Request #21660 · pandas-dev/pandas · GitHub
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BUG: Issues with DatetimeTZ values in where and combine_first (#21469 + #21546) #21660

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Jul 2, 2018
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Merge branch 'master' into PR_TOOL_MERGE_PR_21660
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jreback committed Jul 2, 2018
commit 09fe18f7732f22d8b9778912942d5eccc10f4f12
4 changes: 3 additions & 1 deletion doc/source/whatsnew/v0.24.0.txt
Original file line number Diff line number Diff line change
Expand Up @@ -255,7 +255,7 @@ Timezones
- Bug in :class:`Series` constructor which would coerce tz-aware and tz-naive :class:`Timestamp`s to tz-aware (:issue:`13051`)
- Bug in :class:`Index` with ``datetime64[ns, tz]`` dtype that did not localize integer data correctly (:issue:`20964`)
- Bug in :meth:`Series.combine_first` with ``datetime64[ns, tz]`` dtype which would return tz-naive result (:issue:`21469`)
- Bugs in :meth:`Series.where` and :meth:`DataFrame.where` with ``datetime64[ns, tz]`` dtype (:issue:`21546`)
- Bug in :class:`DatetimeIndex` where constructing with an integer and tz would not localize correctly (:issue:`12619`)

Offsets
^^^^^^^
Expand Down Expand Up @@ -292,6 +292,8 @@ Indexing
- Bug in :meth:`DatetimeIndex.reindex` when reindexing a tz-naive and tz-aware :class:`DatetimeIndex` (:issue:`8306`)
- Bug in :class:`DataFrame` when setting values with ``.loc`` and a timezone aware :class:`DatetimeIndex` (:issue:`11365`)
- Bug when indexing :class:`DatetimeIndex` with nanosecond resolution dates and timezones (:issue:`11679`)
- Bug in :meth:`Series.where` and :meth:`DataFrame.where` with ``datetime64[ns, tz]`` dtype (:issue:`21546`)
- Bug in :func:`DataFrame.fillna` where a ``ValueError`` would raise when one column contained a ``datetime64[ns, tz]`` dtype (:issue:`15522`)

-

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