What's new in 2.0.2 (May ..., 2023)

These are the changes in pandas 2.0.2. See :ref:`release` for a full changelog including other versions of pandas.

Fixed regressions

Fixed regression in :func:`read_sql` dropping duplicated columns (:issue:`53117`)
Fixed regression in :meth:`DataFrame.loc` losing :class:`MultiIndex` name when enlarging object (:issue:`53053`)
Fixed regression in :meth:`DataFrame.to_string` printing a backslash at the end of the first row of data, instead of headers, when the DataFrame doesn't fit the line width (:issue:`53054`)
Fixed regression in :meth:`MultiIndex.join` returning levels in wrong order (:issue:`53093`)

Bug in :func:`api.interchange.from_dataframe` was raising IndexError on empty categorical data (:issue:`53077`)
Bug in :func:`api.interchange.from_dataframe` was returning :class:`DataFrame`'s of incorrect sizes when called on slices (:issue:`52824`)
Bug in :func:`api.interchange.from_dataframe` was unnecessarily raising on bitmasks (:issue:`49888`)
Bug in :func:`to_timedelta` was raising ValueError with pandas.NA (:issue:`52909`)
Bug in :meth:`DataFrame.convert_dtypes` ignores convert_* keywords when set to False dtype_backend="pyarrow" (:issue:`52872`)
Bug in :meth:`Series.describe` treating pyarrow-backed timestamps and timedeltas as categorical data (:issue:`53001`)
Bug in :meth:`pd.array` raising for NumPy array and pa.large_string or pa.large_binary (:issue:`52590`)

Raised a better error message when calling :func:`Series.dt.to_pydatetime` with :class:`ArrowDtype` with pyarrow.date32 or pyarrow.date64 type (:issue:`52812`)

.. contributors:: v2.0.1..v2.0.2|HEAD