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Manually Backport PR pandas-dev#50809
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doc/source/whatsnew/v1.5.3.rst

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.. _whatsnew_153:
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What's new in 1.5.3 (December ??, 2022)
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---------------------------------------
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What's new in 1.5.3 (January 18, 2023)
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--------------------------------------
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These are the changes in pandas 1.5.3. See :ref:`release` for a full changelog
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including other versions of pandas.
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2020
- Fixed regression in :meth:`.SeriesGroupBy.apply` setting a ``name`` attribute on the result if the result was a :class:`DataFrame` (:issue:`49907`)
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- Fixed performance regression in setting with the :meth:`~DataFrame.at` indexer (:issue:`49771`)
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- Fixed regression in the methods ``apply``, ``agg``, and ``transform`` when used with NumPy functions that informed users to supply ``numeric_only=True`` if the operation failed on non-numeric dtypes; such columns must be dropped prior to using these methods (:issue:`50538`)
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- Fixed regression in :func:`to_datetime` raising ``ValueError`` when parsing array of ``float`` containing ``np.nan`` (:issue:`50237`)
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.. ---------------------------------------------------------------------------
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.. _whatsnew_153.bug_fixes:
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- Reverted deprecation (:issue:`45324`) of behavior of :meth:`Series.__getitem__` and :meth:`Series.__setitem__` slicing with an integer :class:`Index`; this will remain positional (:issue:`49612`)
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- A ``FutureWarning`` raised when attempting to set values inplace with :meth:`DataFrame.loc` or :meth:`DataFrame.loc` has been changed to a ``DeprecationWarning`` (:issue:`48673`)
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.. ---------------------------------------------------------------------------
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.. _whatsnew_153.contributors:

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