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doc/source/whatsnew/v2.1.0.rst

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@@ -288,15 +288,14 @@ Performance improvements
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- Performance improvement in :class:`Series` reductions (:issue:`52341`)
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- Performance improvement in :func:`concat` when ``axis=1`` and objects have different indexes (:issue:`52541`)
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- Performance improvement in :meth:`.DataFrameGroupBy.groups` (:issue:`53088`)
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- Performance improvement in :meth:`DataFrame.loc` when selecting rows and columns (:issue:`53014`)
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- Performance improvement in :meth:`DataFrame.transpose` when transposing a DataFrame with a single masked dtype, e.g. :class:`Int64` (:issue:`52836`)
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- Performance improvement in :meth:`.DataFrameGroupBy.groups` (:issue:`53088`)
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- Performance improvement in :meth:`DataFrame.loc` when selecting rows and columns (:issue:`53014`)
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- Performance improvement in :meth:`DataFrame.loc` when selecting rows and columns (:issue:`53014`)
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- Performance improvement in :meth:`DataFrame.transpose` when transposing a DataFrame with a single masked dtype, e.g. :class:`Int64` (:issue:`52836`)
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- Performance improvement in :meth:`Series.corr` and :meth:`Series.cov` for extension dtypes (:issue:`52502`)
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- Performance improvement in :meth:`Series.to_numpy` when dtype is a numpy float dtype and ``na_value`` is ``np.nan`` (:issue:`52430`)
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- Performance improvement in :meth:`~arrays.ArrowExtensionArray.to_numpy` (:issue:`52525`)
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- Performance improvement when doing various reshaping operations on :class:`arrays.IntegerArrays` & :class:`arrays.FloatingArray` by avoiding doing unnecessary validation (:issue:`53013`)
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- Performance improvement in :meth:`DataFrame.transpose` when transposing a DataFrame with a single masked dtype, e.g. :class:`Int64` (:issue:`xxxxx`)
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