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Copy file name to clipboardExpand all lines: doc/source/whatsnew/v0.24.2.rst
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- Bug in :meth:`~pandas.core.groupby.GroupBy.transform` where applying a function to a timezone aware column would return a timezone naive result (:issue:`24198`)
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- Bug in :func:`DataFrame.join` when joining on a timezone aware :class:`DatetimeIndex` (:issue:`23931`)
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- Bug in groupby.idxmin() that returns DateTime values for DataTime columns (:issue:`25444`)
Copy file name to clipboardExpand all lines: doc/source/whatsnew/v0.25.0.rst
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- Bug in :func:`pandas.core.groupby.GroupBy.agg` when applying a aggregation function to timezone aware data (:issue:`23683`)
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- Bug in :func:`pandas.core.groupby.GroupBy.first` and :func:`pandas.core.groupby.GroupBy.last` where timezone information would be dropped (:issue:`21603`)
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- Ensured that ordering of outputs in ``groupby`` aggregation functions is consistent across all versions of Python (:issue:`25692`)
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- Bug in :func:`pandas.core.groupby.GroupBy.idxmin` and :func:`pandas.core.groupby.GroupBy.idxmax` that did not work correctly with datetime data (:issue:`25444`).
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