If supplying a dict, the dict keys should correspond to
            column names or index values, depending upon the specified
            `axis` argument. These will be mapped to row or col CSS
            selectors. MultiIndex values as dict keys should be
            in their respective tuple form. The dict values should be
            a list as specified in the form with CSS selectors and
            props that will be applied to the specified row or column.

            .. versionchanged:: 1.2.0

        axis : {0 or 'index', 1 or 'columns', None}, default 0
            Apply to each column (``axis=0`` or ``'index'``), to each row
            (``axis=1`` or ``'columns'``). Only used if `table_styles` is
            dict.

            .. versionadded:: 1.2.0

        overwrite : bool, default True
            Styles are replaced if `True`, or extended if `False`. CSS
            rules are preserved so most recent styles set will dominate
            if selectors intersect.

            .. versionadded:: 1.2.0

        css_class_names : dict, optional
            A dict of strings used to replace the default CSS classes described below.

            .. versionadded:: 1.4.0

        Returns
        -------
        Styler

        See Also
        --------
        Styler.set_td_classes: Set the DataFrame of strings added to the ``class``
            attribute of ``<td>`` HTML elements.
        Styler.set_table_attributes: Set the table attributes added to the ``<table>``
            HTML element.

        Notes
        -----
        The default CSS classes dict, whose values can be replaced is as follows:

        .. code-block:: python

            css_class_names = {"row_heading": "row_heading",
                               "col_heading": "col_heading",
                               "index_name": "index_name",
                               "col": "col",
                               "row": "row",
                               "col_trim": "col_trim",
                               "row_trim": "row_trim",
                               "level": "level",
                               "data": "data",
                               "blank": "blank",
                               "foot": "foot"}

        Examples
        --------
        >>> df = pd.DataFrame(np.random.randn(10, 4),
        ...                   columns=['A', 'B', 'C', 'D'])
        >>> df.style.set_table_styles(
        ...     [{'selector': 'tr:hover',
        ...       'props': [('background-color', 'yellow')]}]
        ... )  # doctest: +SKIP

        Or with CSS strings

        >>> df.style.set_table_styles(
        ...     [{'selector': 'tr:hover',
        ...       'props': 'background-color: yellow; font-size: 1em;'}]
        ... )  # doctest: +SKIP

        Adding column styling by name

        >>> df.style.set_table_styles({
        ...     'A': [{'selector': '',
        ...            'props': [('color', 'red')]}],
        ...     'B': [{'selector': 'td',
        ...            'props': 'color: blue;'}]
        ... }, overwrite=False)  # doctest: +SKIP

        Adding row styling

        >>> df.style.set_table_styles({
        ...     0: [{'selector': 'td:hover',
        ...          'props': [('font-size', '25px')]}]
        ... }, axis=1, overwrite=False)  # doctest: +SKIP

        See `Table Visualization <../../user_guide/style.ipynb>`_ user guide for
        more details.
        Nrā