What's new in 1.0.2 (February ??, 2020)

These are the changes in pandas 1.0.2. See :ref:`release` for a full changelog including other versions of pandas.

Fixed regressions

Fixed regression in :meth:`DataFrame.to_excel` when columns kwarg is passed (:issue:`31677`)
Fixed regression in :meth:`Series.align` when other is a DataFrame and method is not None (:issue:`31785`)
Fixed regression in :meth:`pandas.core.groupby.RollingGroupby.apply` where the raw parameter was ignored (:issue:`31754`)
Fixed regression in :meth:`rolling(..).corr() <pandas.core.window.Rolling.corr>` when using a time offset (:issue:`31789`)
Fixed regression in :class:`DataFrame` arithmetic operations with mis-matched columns (:issue:`31623`)

Categorical

Fixed bug where :meth:`Categorical.from_codes` improperly raised a ValueError when passed nullable integer codes. (:issue:`31779`)
Bug in :class:`Categorical` that would ignore or crash when calling :meth:`Series.replace` with a list-like to_replace (:issue:`31720`)

I/O

Using pd.NA with :meth:`DataFrame.to_json` now correctly outputs a null value instead of an empty object (:issue:`31615`)
Fixed pickling of pandas.NA. Previously a new object was returned, which broke computations relying on NA being a singleton (:issue:`31847`)
Fixed bug in parquet roundtrip with nullable unsigned integer dtypes (:issue:`31896`).

Experimental dtypes

Fix bug in :meth:`DataFrame.convert_dtypes` for columns that were already using the "string" dtype (:issue:`31731`).
Fixed bug in setting values using a slice indexer with string dtype (:issue:`31772`)

.. contributors:: v1.0.1..v1.0.2|HEAD