code: def get_scores(self):
      rank_df = self.term_ranker_.set_non_text(
          self.use_metadata_
      ).get_ranks("")
      focus = rank_df[str(self.category_name)].values
      background = (
          rank_df[
              [
                  str(c)
                  for c in self.corpus_.get_categories()
                  if str(c) in self.not_category_names
              ]
          ]
          .sum(axis=1)
          .values
      )
      scores = DeltaJSDivergence(self.pi1, self.pi2).get_scores(
          a=focus, b=background
      )
      return pd.Series(scores, index=self._get_index())
  
file_path: scattertext/scattertext/termscoring/DeltaJSDivergence.py
imports: import numpy
  import pandas
  from scattertext.termscoring.CorpusBasedTermScorer import CorpusBasedTermScorer
label_desc: Use image node_id 3 for calling the DeltaJSDivergenceScorer obj's underlying member method code with example usage: obj.get_scores() and returns: pd