What's new in 1.0.4 (May ??, 2020)

These are the changes in pandas 1.0.4. See :ref:`release` for a full changelog including other versions of pandas.

Fixed regressions

Bug where :meth:`Series.isna` and :meth:`DataFrame.isna` would raise for categorical dtype when pandas.options.mode.use_inf_as_na was set to True (:issue:`33594`)
Bug in :meth:`GroupBy.first` and :meth:`GroupBy.last` where None is not preserved in object dtype (:issue:`32800`)
Bug in DataFrame reductions using numeric_only=True and ExtensionArrays (:issue:`33256`).
Fix performance regression in memory_usage(deep=True) for object dtype (:issue:`33012`)
Bug where :meth:`Categorical.replace` would replace with NaN whenever the new value and replacement value were equal (:issue:`33288`)
Bug where an ordered :class:`Categorical` containing only NaN values would raise rather than returning NaN when taking the minimum or maximum (:issue:`33450`)
Bug in :meth:`DataFrameGroupBy.agg` with dictionary input losing ExtensionArray dtypes (:issue:`32194`)
Fix to preserve the ability to index with the "nearest" method with xarray's CFTimeIndex, an :class:`Index` subclass (pydata/xarray#3751, :issue:`32905`).
Fix regression in :meth:`DataFrame.describe` raising TypeError: unhashable type: 'dict' (:issue:`32409`)

Bug in :meth:`SeriesGroupBy.first`, :meth:`SeriesGroupBy.last`, :meth:`SeriesGroupBy.min`, and :meth:`SeriesGroupBy.max` returning floats when applied to nullable Booleans (:issue:`33071`)
Bug in :meth:`Rolling.min` and :meth:`Rolling.max`: Growing memory usage after multiple calls when using a fixed window (:issue:`30726`)

.. contributors:: v1.0.3..v1.0.4|HEAD