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

        Returnss
        -------
        np.array, scores
        '''
        X = self._get_X() > 0
        cat_X, ncat_X = self._get_cat_and_ncat(X)
        score = self._get_zeta_score(cat_X, ncat_X)
        return pd.DataFrame({
            'Term': self.corpus_.get_terms(use_metadata=self.use_metadata_),
            'Base': cat_X.sum(axis=0).A1,
            'Counter': ncat_X.sum(axis=0).A1,
            'Score': score
        }).set_index('Term')

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

        Returnss
        -------
        np.array, scores
        
scattertext/termscoring/craigs_zeta.py