code: def get_fisher_scores_vs_background(self):
          '''
          Returns
          -------
              pd.DataFrame of fisher scores vs background
          '''
          df = self.get_term_and_background_counts()
          odds_ratio, p_values = self._get_fisher_scores_from_counts(
              df['corpus'], df['background'])
          df['Odds ratio'] = odds_ratio
          df['Bonferroni-corrected p-values'] = p_values * len(df)
          df.sort_values(by=['Bonferroni-corrected p-values', 'Odds ratio'],
                         ascending=[True, False])
          return df get_fisher_scores_vs_background(self):
          '''
          Returns
          -------
              pd.DataFrame of fisher scores vs background
          '''
          df = self.get_term_and_background_counts()
          odds_ratio, p_values = self._get_fisher_scores_from_counts(
              df['corpus'], df['background'])
          df['Odds ratio'] = odds_ratio
          df['Bonferroni-corrected p-values'] = p_values * len(df)
          df.sort_values(by=['Bonferroni-corrected p-values', 'Odds ratio'],
                         ascending=[True, False])
          return df
docs: Returns
          -------
              pd.DataFrame of fisher scores vs background