Log Message:
py-pandas: updated to 1.5.3

What's new in 1.5.3 (January 18, 2023)
--------------------------------------

These are the changes in pandas 1.5.3. See :ref:`release` for a full changelog
including other versions of pandas.

Fixed regressions
~~~~~~~~~~~~~~~~~
- Fixed performance regression in :meth:`Series.isin` when ``values`` is empty \ 
(:issue:`49839`)
- Fixed regression in :meth:`DataFrame.memory_usage` showing unnecessary \ 
``FutureWarning`` when :class:`DataFrame` is empty (:issue:`50066`)
- Fixed regression in :meth:`.DataFrameGroupBy.transform` when used with \ 
``as_index=False`` (:issue:`49834`)
- Enforced reversion of ``color`` as an alias for ``c`` and ``size`` as an alias \ 
for ``s`` in function :meth:`DataFrame.plot.scatter` (:issue:`49732`)
- Fixed regression in :meth:`.SeriesGroupBy.apply` setting a ``name`` attribute \ 
on the result if the result was a :class:`DataFrame` (:issue:`49907`)
- Fixed performance regression in setting with the :meth:`~DataFrame.at` indexer \ 
(:issue:`49771`)
- Fixed regression in the methods ``apply``, ``agg``, and ``transform`` when \ 
used with NumPy functions that informed users to supply ``numeric_only=True`` if \ 
the operation failed on non-numeric dtypes; such columns must be dropped prior \ 
to using these methods (:issue:`50538`)
- Fixed regression in :func:`to_datetime` raising ``ValueError`` when parsing \ 
array of ``float`` containing ``np.nan`` (:issue:`50237`)

Bug fixes
~~~~~~~~~
- Bug in the Copy-on-Write implementation losing track of views when indexing a \ 
:class:`DataFrame` with another :class:`DataFrame` (:issue:`50630`)
- Bug in :meth:`.Styler.to_excel` leading to error when unrecognized \ 
``border-style`` (e.g. ``"hair"``) provided to Excel writers \ 
(:issue:`48649`)
- Bug in :meth:`Series.quantile` emitting warning from NumPy when \ 
:class:`Series` has only ``NA`` values (:issue:`50681`)
- Bug when chaining several :meth:`.Styler.concat` calls, only the last styler \ 
was concatenated (:issue:`49207`)
- Fixed bug when instantiating a :class:`DataFrame` subclass inheriting from \ 
``typing.Generic`` that triggered a ``UserWarning`` on python 3.11 \ 
(:issue:`49649`)
- Bug in :func:`pivot_table` with NumPy 1.24 or greater when the \ 
:class:`DataFrame` columns has nested elements (:issue:`50342`)
- Bug in :func:`pandas.testing.assert_series_equal` (and equivalent ``assert_`` \ 
functions) when having nested data and using numpy >= 1.25 (:issue:`50360`)

Other
~~~~~
    If you are using :meth:`DataFrame.to_sql`, :func:`read_sql`, \ 
:func:`read_sql_table`, or :func:`read_sql_query` with SQLAlchemy 1.4.46 or \ 
greater,
    you may see a ``sqlalchemy.exc.RemovedIn20Warning``. These warnings can be \ 
safely ignored for the SQLAlchemy 1.4.x releases
    as pandas works toward compatibility with SQLAlchemy 2.0.

- Reverted deprecation (:issue:`45324`) of behavior of \ 
:meth:`Series.__getitem__` and :meth:`Series.__setitem__` slicing with an \ 
integer :class:`Index`; this will remain positional (:issue:`49612`)
- A ``FutureWarning`` raised when attempting to set values inplace with \ 
:meth:`DataFrame.loc` or :meth:`DataFrame.iloc` has been changed to a \ 
``DeprecationWarning`` (:issue:`48673`)