What's new in 2.0.3 (June 28, 2023)

These are the changes in pandas 2.0.3. See :ref:`release` for a full changelog including other versions of pandas.

Fixed regressions

Bug in :meth:`Timestamp.weekday`` was returning incorrect results before '0000-02-29' (:issue:`53738`)
Fixed performance regression in merging on datetime-like columns (:issue:`53231`)
Fixed regression when :meth:`DataFrame.to_string` creates extra space for string dtypes (:issue:`52690`)
For external ExtensionArray implementations, restored the default use of _values_for_factorize for hashing arrays (:issue:`53475`)

Bug in :func:`DataFrame.convert_dtype` and :func:`Series.convert_dtype` when trying to convert :class:`ArrowDtype` with dtype_backend="nullable_numpy" (:issue:`53648`)
Bug in :func:`RangeIndex.union` when using sort=True with another :class:`RangeIndex` (:issue:`53490`)
Bug in :func:`Series.reindex` when expanding a non-nanosecond datetime or timedelta :class:`Series` would not fill with NaT correctly (:issue:`53497`)
Bug in :func:`read_csv` when defining dtype with bool[pyarrow] for the "c" and "python" engines (:issue:`53390`)
Bug in :meth:`Series.str.split` and :meth:`Series.str.rsplit` with expand=True for :class:`ArrowDtype` with pyarrow.string (:issue:`53532`)
Bug in indexing methods (e.g. :meth:`DataFrame.__getitem__`) where taking the entire :class:`DataFrame`/:class:`Series` would raise an OverflowError when Copy on Write was enabled and the length of the array was over the maximum size a 32-bit integer can hold (:issue:`53616`)
Bug when constructing a :class:`DataFrame` with columns of an :class:`ArrowDtype` with a pyarrow.dictionary type that reindexes the data (:issue:`53617`)
Bug when indexing a :class:`DataFrame` or :class:`Series` with an :class:`Index` with a timestamp :class:`ArrowDtype` would raise an AttributeError (:issue:`53644`)

.. contributors:: v2.0.2..v2.0.3|HEAD