What's new in 2.2.2 (April XX, 2024)

These are the changes in pandas 2.2.2. See :ref:`release` for a full changelog including other versions of pandas.

Fixed regressions

:meth:`DataFrame.__dataframe__` was producing incorrect data buffers when the a column's type was a pandas nullable on with missing values (:issue:`56702`)
:meth:`DataFrame.__dataframe__` was producing incorrect data buffers when the a column's type was a pyarrow nullable on with missing values (:issue:`57664`)
:meth:`DataFrame.melt` would not accept multiple names in var_name when the columns were a :class:`MultiIndex` (:issue:`58033`)
Avoid issuing a spurious DeprecationWarning when a custom :class:`DataFrame` or :class:`Series` subclass method is called (:issue:`57553`)
Fixed regression in precision of :func:`to_datetime` with string and unit input (:issue:`57051`)

:meth:`DataFrame.__dataframe__` was producing incorrect data buffers when the column's type was nullable boolean (:issue:`55332`)
:meth:`DataFrame.__dataframe__` was showing bytemask instead of bitmask for 'string[pyarrow]' validity buffer (:issue:`57762`)
:meth:`DataFrame.__dataframe__` was showing non-null validity buffer (instead of None) 'string[pyarrow]' without missing values (:issue:`57761`)
:meth:`DataFrame.to_sql` was failing to find the right table when using the schema argument (:issue:`57539`)