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doc/source/whatsnew/v3.0.0.rst

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@@ -210,6 +210,7 @@ Other enhancements
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- :meth:`DataFrame.to_csv` and :meth:`Series.to_csv` now support Python's new-style format strings (e.g., ``"{:.6f}"``) for the ``float_format`` parameter, in addition to old-style ``%`` format strings and callables. This allows for more flexible and modern formatting of floating point numbers when exporting to CSV. (:issue:`49580`)
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- :meth:`DataFrameGroupBy.transform`, :meth:`SeriesGroupBy.transform`, :meth:`DataFrameGroupBy.agg`, :meth:`SeriesGroupBy.agg`, :meth:`RollingGroupby.apply`, :meth:`ExpandingGroupby.apply`, :meth:`Rolling.apply`, :meth:`Expanding.apply`, :meth:`DataFrame.apply` with ``engine="numba"`` now supports positional arguments passed as kwargs (:issue:`58995`)
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- :meth:`Rolling.agg`, :meth:`Expanding.agg` and :meth:`ExponentialMovingWindow.agg` now accept :class:`NamedAgg` aggregations through ``**kwargs`` (:issue:`28333`)
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- :meth:`Series.corr`, :meth:`DataFrame.corr`, :meth:`DataFrame.corrwith` with ``method="kendall"`` and ``method="spearman"`` now work with ordered categorical data types (:issue:`60306`)
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- :meth:`Series.map` can now accept kwargs to pass on to func (:issue:`59814`)
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- :meth:`Series.map` now accepts an ``engine`` parameter to allow execution with a third-party execution engine (:issue:`61125`)
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- :meth:`Series.rank` and :meth:`DataFrame.rank` with numpy-nullable dtypes preserve ``NA`` values and return ``UInt64`` dtype where appropriate instead of casting ``NA`` to ``NaN`` with ``float64`` dtype (:issue:`62043`)

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