def get_scores(self, *args):
        '''
        In this case, args aren't used, since this information is taken
        directly from the corpus categories.

        Returns
        -------
        np.array, scores
        '''
        if self.tdf_ is None:
            raise Exception("Use set_categories('category name', ['not category name', ...]) " +
                            "to set the category of interest")

        dense_rank_difference = self._dense_rank_difference(
            self.tdf_['cat'], self.tdf_['ncat']
        )

        if type(self.tdf_['cat']) == pd.Series:
            return pd.Series(
                dense_rank_difference,
                index=self.tdf_['cat'].index
            )
        return dense_rank_difference

        In this case, args aren't used, since this information is taken
        directly from the corpus categories.

        Returns
        -------
        np.array, scores
        
scattertext/termscoring/RankDifferenceScorer.py