Assign desired index to given axis.

        Args:
            labels (pandas.Index or list-like): The Index to assign.
            axis (string or int): The axis to reassign.
            inplace (bool): Whether to make these modifications inplace.

        Returns:
            If inplace is False, returns a new DataFrame, otherwise None.

def set_axis(self, labels, axis=0, inplace=None):
        """Assign desired index to given axis.

        Args:
            labels (pandas.Index or list-like): The Index to assign.
            axis (string or int): The axis to reassign.
            inplace (bool): Whether to make these modifications inplace.

        Returns:
            If inplace is False, returns a new DataFrame, otherwise None.
        """
        if is_scalar(labels):
            warnings.warn(
                'set_axis now takes "labels" as first argument, and '
                '"axis" as named parameter. The old form, with "axis" as '
                'first parameter and "labels" as second, is still supported '
                "but will be deprecated in a future version of pandas.",
                FutureWarning,
                stacklevel=2,
            )
            labels, axis = axis, labels
        if inplace is None:
            warnings.warn(
                "set_axis currently defaults to operating inplace.\nThis "
                "will change in a future version of pandas, use "
                "inplace=True to avoid this warning.",
                FutureWarning,
                stacklevel=2,
            )
            inplace = True
        if inplace:
            setattr(self, pandas.DataFrame()._get_axis_name(axis), labels)
        else:
            obj = self.copy()
            obj.set_axis(labels, axis=axis, inplace=True)
            return obj