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- :class:`pandas.core.arrays.IntervalArray` adopts a new ``__repr__`` in accordance with other array classes (:issue:`25022`)
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- :class:`pandas.arrays.IntervalArray` adopts a new ``__repr__`` in accordance with other array classes (:issue:`25022`)
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*pandas 0.25.x*
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@@ -578,7 +578,7 @@ or ``matplotlib.Axes.plot``. See :ref:`plotting.formatters` for more.
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- :meth:`Series.where` with ``Categorical`` dtype (or :meth:`DataFrame.where` with ``Categorical`` column) no longer allows setting new categories (:issue:`24114`)
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- :class:`DatetimeIndex`, :class:`TimedeltaIndex`, and :class:`PeriodIndex` constructors no longer allow ``start``, ``end``, and ``periods`` keywords, use :func:`date_range`, :func:`timedelta_range`, and :func:`period_range` instead (:issue:`23919`)
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- :class:`DatetimeIndex` and :class:`TimedeltaIndex` constructors no longer have a ``verify_integrity`` keyword argument (:issue:`23919`)
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- :func:`core.internals.blocks.make_block` no longer accepts the "fastpath" keyword(:issue:`19265`)
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- ``pandas.core.internals.blocks.make_block`` no longer accepts the "fastpath" keyword(:issue:`19265`)
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- :meth:`Block.make_block_same_class` no longer accepts the "dtype" keyword(:issue:`19434`)
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- Removed the previously deprecated :meth:`ExtensionArray._formatting_values`. Use :attr:`ExtensionArray._formatter` instead. (:issue:`23601`)
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- Removed the previously deprecated :meth:`MultiIndex.to_hierarchical` (:issue:`21613`)
@@ -655,7 +655,7 @@ Performance improvements
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~~~~~~~~~~~~~~~~~~~~~~~~
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- Performance improvement in indexing with a non-unique :class:`IntervalIndex` (:issue:`27489`)
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- Performance improvement in `MultiIndex.is_monotonic` (:issue:`27495`)
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- Performance improvement in :attr:`MultiIndex.is_monotonic` (:issue:`27495`)
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- Performance improvement in :func:`cut` when ``bins`` is an :class:`IntervalIndex` (:issue:`27668`)
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- Performance improvement when initializing a :class:`DataFrame` using a ``range`` (:issue:`30171`)
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- Performance improvement in :meth:`DataFrame.corr` when ``method`` is ``"spearman"`` (:issue:`28139`)
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