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DOC: Set date for v2.3.0.rst whatsnew (#61560)
* DOC: Set date for v2.3.0.rst whatsnew * Add more sphinx refs * Copy edits * Add |HEAD
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‎doc/source/whatsnew/v2.3.0.rst

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.. _whatsnew_230:
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What's new in 2.3.0 (Month XX, 2024)
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What's new in 2.3.0 (June 4, 2025)
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------------------------------------
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These are the changes in pandas 2.3.0. See :ref:`release` for a full changelog
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.. ---------------------------------------------------------------------------
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.. _whatsnew_230.upcoming_changes:
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Upcoming changes in pandas 3.0
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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.. _whatsnew_230.enhancements:
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Enhancements
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~~~~~~~~~~~~
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.. _whatsnew_230.enhancements.enhancement1:
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enhancement1
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^^^^^^^^^^^^
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.. _whatsnew_230.enhancements.other:
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Other enhancements
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- The semantics for the ``copy`` keyword in ``__array__`` methods (i.e. called
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when using ``np.array()`` or ``np.asarray()`` on pandas objects) has been
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updated to work correctly with NumPy >= 2 (:issue:`57739`)
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- :meth:`Series.str.decode` result now has ``StringDtype`` when ``future.infer_string`` is True (:issue:`60709`)
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- :meth:`~Series.to_hdf` and :meth:`~DataFrame.to_hdf` now round-trip with ``StringDtype`` (:issue:`60663`)
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- :meth:`Series.str.decode` result now has :class:`StringDtype` when ``future.infer_string`` is True (:issue:`60709`)
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- :meth:`~Series.to_hdf` and :meth:`~DataFrame.to_hdf` now round-trip with :class:`StringDtype` (:issue:`60663`)
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- Improved ``repr`` of :class:`.NumpyExtensionArray` to account for NEP51 (:issue:`61085`)
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- The :meth:`Series.str.decode` has gained the argument ``dtype`` to control the dtype of the result (:issue:`60940`)
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- The :meth:`~Series.cumsum`, :meth:`~Series.cummin`, and :meth:`~Series.cummax` reductions are now implemented for ``StringDtype`` columns (:issue:`60633`)
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- The :meth:`~Series.sum` reduction is now implemented for ``StringDtype`` columns (:issue:`59853`)
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- The :meth:`~Series.cumsum`, :meth:`~Series.cummin`, and :meth:`~Series.cummax` reductions are now implemented for :class:`StringDtype` columns (:issue:`60633`)
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- The :meth:`~Series.sum` reduction is now implemented for :class:`StringDtype` columns (:issue:`59853`)
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.. ---------------------------------------------------------------------------
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.. _whatsnew_230.notable_bug_fixes:
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Comparisons between different string dtypes
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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In previous versions, comparing Series of different string dtypes (e.g. ``pd.StringDtype("pyarrow", na_value=pd.NA)`` against ``pd.StringDtype("python", na_value=np.nan)``) would result in inconsistent resulting dtype or incorrectly raise. pandas will now use the hierarchy
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In previous versions, comparing :class:`Series` of different string dtypes (e.g. ``pd.StringDtype("pyarrow", na_value=pd.NA)`` against ``pd.StringDtype("python", na_value=np.nan)``) would result in inconsistent resulting dtype or incorrectly raise. pandas will now use the hierarchy
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object < (python, NaN) < (pyarrow, NaN) < (python, NA) < (pyarrow, NA)
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API changes
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~~~~~~~~~~~
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- When enabling the ``future.infer_string`` option: Index set operations (like
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union or intersection) will now ignore the dtype of an empty ``RangeIndex`` or
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empty ``Index`` with object dtype when determining the dtype of the resulting
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- When enabling the ``future.infer_string`` option, :class:`Index` set operations (like
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union or intersection) will now ignore the dtype of an empty :class:`RangeIndex` or
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empty :class:`Index` with ``object`` dtype when determining the dtype of the resulting
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Index (:issue:`60797`)
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.. ---------------------------------------------------------------------------
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- Deprecated allowing non-``bool`` values for ``na`` in :meth:`.str.contains`, :meth:`.str.startswith`, and :meth:`.str.endswith` for dtypes that do not already disallow these (:issue:`59615`)
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- Deprecated the ``"pyarrow_numpy"`` storage option for :class:`StringDtype` (:issue:`60152`)
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.. ---------------------------------------------------------------------------
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.. _whatsnew_230.performance:
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Performance improvements
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~~~~~~~~~~~~~~~~~~~~~~~~
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.. _whatsnew_230.bug_fixes:
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Bug fixes
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~~~~~~~~~
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Categorical
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^^^^^^^^^^^
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Datetimelike
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^^^^^^^^^^^^
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Timedelta
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^^^^^^^^^
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Timezones
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^^^^^^^^^
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Numeric
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^^^^^^^
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- Enabled :class:`Series.mode` and :class:`DataFrame.mode` with ``dropna=False`` to sort the result for all dtypes in the presence of NA values; previously only certain dtypes would sort (:issue:`60702`)
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- Bug in :meth:`Series.round` on object columns no longer raises ``TypeError``
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Conversion
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^^^^^^^^^^
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- Bug in :meth:`Series.mode` and :meth:`DataFrame.mode` with ``dropna=False`` where not all dtypes would sort in the presence of ``NA`` values (:issue:`60702`)
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- Bug in :meth:`Series.round` where a ``TypeError`` would always raise with ``object`` dtype (:issue:`61206`)
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Strings
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- Bug in :meth:`.DataFrameGroupBy.min`, :meth:`.DataFrameGroupBy.max`, :meth:`.Resampler.min`, :meth:`.Resampler.max` on string input of all NA values would return float dtype; now returns string (:issue:`60810`)
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- Bug in :meth:`DataFrame.sum` with ``axis=1``, :meth:`.DataFrameGroupBy.sum` or :meth:`.SeriesGroupBy.sum` with ``skipna=True``, and :meth:`.Resampler.sum` on :class:`StringDtype` with all NA values resulted in ``0`` and is now the empty string ``""`` (:issue:`60229`)
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- Bug in :meth:`Series.__pos__` and :meth:`DataFrame.__pos__` did not raise for :class:`StringDtype` with ``storage="pyarrow"`` (:issue:`60710`)
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- Bug in :meth:`Series.rank` for :class:`StringDtype` with ``storage="pyarrow"`` incorrectly returning integer results in case of ``method="average"`` and raising an error if it would truncate results (:issue:`59768`)
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- Bug in :meth:`.DataFrameGroupBy.min`, :meth:`.DataFrameGroupBy.max`, :meth:`.Resampler.min`, :meth:`.Resampler.max` where all NA values of string dtype would return float instead of string dtype (:issue:`60810`)
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- Bug in :meth:`DataFrame.sum` with ``axis=1``, :meth:`.DataFrameGroupBy.sum` or :meth:`.SeriesGroupBy.sum` with ``skipna=True``, and :meth:`.Resampler.sum` with all NA values of :class:`StringDtype` resulted in ``0`` instead of the empty string ``""`` (:issue:`60229`)
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- Bug in :meth:`Series.__pos__` and :meth:`DataFrame.__pos__` where an ``Exception`` was not raised for :class:`StringDtype` with ``storage="pyarrow"`` (:issue:`60710`)
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- Bug in :meth:`Series.rank` for :class:`StringDtype` with ``storage="pyarrow"`` that incorrectly returned integer results with ``method="average"`` and raised an error if it would truncate results (:issue:`59768`)
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- Bug in :meth:`Series.replace` with :class:`StringDtype` when replacing with a non-string value was not upcasting to ``object`` dtype (:issue:`60282`)
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- Bug in :meth:`Series.str.center` with :class:`StringDtype` with ``storage="pyarrow"`` not matching the python behavior in corner cases with an odd number of fill characters (:issue:`54792`)
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- Bug in :meth:`Series.str.replace` when ``n < 0`` for :class:`StringDtype` with ``storage="pyarrow"`` (:issue:`59628`)
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- Bug in ``ser.str.slice`` with negative ``step`` with :class:`ArrowDtype` and :class:`StringDtype` with ``storage="pyarrow"`` giving incorrect results (:issue:`59710`)
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- Bug in the ``center`` method on :class:`Series` and :class:`Index` object ``str`` accessors with pyarrow-backed dtype not matching the python behavior in corner cases with an odd number of fill characters (:issue:`54792`)
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Interval
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Missing
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MultiIndex
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Reshaping
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Styler
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Contributors
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~~~~~~~~~~~~
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.. contributors:: v2.2.3..v2.3.0|HEAD

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