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moved pull request to v3.0.0 whatsnew
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sharkipelago committed Jun 10, 2025
commit aa08735124172f11e9d0a8abc85594193ab8f243
1 change: 0 additions & 1 deletion doc/source/whatsnew/v2.3.0.rst
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Expand Up @@ -27,7 +27,6 @@ Other enhancements
- :meth:`Series.str.decode` result now has :class:`StringDtype` when ``future.infer_string`` is True (:issue:`60709`)
- :meth:`~Series.to_hdf` and :meth:`~DataFrame.to_hdf` now round-trip with :class:`StringDtype` (:issue:`60663`)
- Improved ``repr`` of :class:`.NumpyExtensionArray` to account for NEP51 (:issue:`61085`)
- The :class:`Holiday` has gained the constructor argument and field ``exclude_dates`` to exclude specific datetimes from a custom holiday calendar (:issue:`54382`)
- The :meth:`Series.str.decode` has gained the argument ``dtype`` to control the dtype of the result (:issue:`60940`)
- The :meth:`~Series.cumsum`, :meth:`~Series.cummin`, and :meth:`~Series.cummax` reductions are now implemented for :class:`StringDtype` columns (:issue:`60633`)
- The :meth:`~Series.sum` reduction is now implemented for :class:`StringDtype` columns (:issue:`59853`)
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1 change: 1 addition & 0 deletions doc/source/whatsnew/v3.0.0.rst
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Expand Up @@ -64,6 +64,7 @@ Other enhancements
- :meth:`Series.nlargest` uses a 'stable' sort internally and will preserve original ordering.
- :class:`ArrowDtype` now supports ``pyarrow.JsonType`` (:issue:`60958`)
- :class:`DataFrameGroupBy` and :class:`SeriesGroupBy` methods ``sum``, ``mean``, ``median``, ``prod``, ``min``, ``max``, ``std``, ``var`` and ``sem`` now accept ``skipna`` parameter (:issue:`15675`)
- :class:`Holiday` has gained the constructor argument and field ``exclude_dates`` to exclude specific datetimes from a custom holiday calendar (:issue:`54382`)
- :class:`Rolling` and :class:`Expanding` now support ``nunique`` (:issue:`26958`)
- :class:`Rolling` and :class:`Expanding` now support aggregations ``first`` and ``last`` (:issue:`33155`)
- :func:`read_parquet` accepts ``to_pandas_kwargs`` which are forwarded to :meth:`pyarrow.Table.to_pandas` which enables passing additional keywords to customize the conversion to pandas, such as ``maps_as_pydicts`` to read the Parquet map data type as python dictionaries (:issue:`56842`)
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