. In other words, if there is
            a gap with more than this number of consecutive NaNs, it will only
            be partially filled. If method is not specified, this is the
            maximum number of entries along the entire axis where NaNs will be
            filled. Must be greater than 0 if not None.

            .. deprecated:: 2.1

        fill_axis : {axes_single_arg}, default 0
            Filling axis, method and limit.

            .. deprecated:: 2.1

        broadcast_axis : {axes_single_arg}, default None
            Broadcast values along this axis, if aligning two objects of
            different dimensions.

            .. deprecated:: 2.1

        Returns
        -------
        tuple of ({klass}, type of other)
            Aligned objects.

        Examples
        --------
        >>> df = pd.DataFrame(
        ...     [[1, 2, 3, 4], [6, 7, 8, 9]], columns=["D", "B", "E", "A"], index=[1, 2]
        ... )
        >>> other = pd.DataFrame(
        ...     [[10, 20, 30, 40], [60, 70, 80, 90], [600, 700, 800, 900]],
        ...     columns=["A", "B", "C", "D"],
        ...     index=[2, 3, 4],
        ... )
        >>> df
           D  B  E  A
        1  1  2  3  4
        2  6  7  8  9
        >>> other
            A    B    C    D
        2   10   20   30   40
        3   60   70   80   90
        4  600  700  800  900

        Align on columns:

        >>> left, right = df.align(other, join="outer", axis=1)
        >>> left
           A  B   C  D  E
        1  4  2 NaN  1  3
        2  9  7 NaN  6  8
        >>> right
            A    B    C    D   E
        2   10   20   30   40 NaN
        3   60   70   80   90 NaN
        4  600  700  800  900 NaN

        We can also align on the index:

        >>> left, right = df.align(other, join="outer", axis=0)
        >>> left
            D    B    E    A
        1  1.0  2.0  3.0  4.0
        2  6.0  7.0  8.0  9.0
        3  NaN  NaN  NaN  NaN
        4  NaN  NaN  NaN  NaN
        >>> right
            A      B      C      D
        1    NaN    NaN    NaN    NaN
        2   10.0   20.0   30.0   40.0
        3   60.0   70.0   80.0   90.0
        4  600.0  700.0  800.0  900.0

        Finally, the default `axis=None` will align on both index and columns:

        >>> left, right = df.align(other, join="outer", axis=None)
        >>> left
             A    B   C    D    E
        1  4.0  2.0 NaN  1.0  3.0
        2  9.0  7.0 NaN  6.0  8.0
        3  NaN  NaN NaN  NaN  NaN
        4  NaN  NaN NaN  NaN  NaN
        >>> right
               A      B      C      D   E
        1    NaN    NaN    NaN    NaN NaN
        2   10.0   20.0   30.0   40.0 NaN
        3   60.0   70.0   80.0   90.0 NaN
        4  600.0  700.0  800.0  900.0 NaN
        z3The 'method', 'limit', and 'fill_axis' keywords in zt.align are deprecated and will be removed in a future version. Call fillna directly on the returned objects instead.rñ