code: def get_score_df(
      self, score_append=" Score", freq_append=" Freq"
  ) -> pd.DataFrame:
      df = pd.pivot_table(
          self.get_rank_freq_df(),
          index="Term",
          values=["Score", "Frequency"],
          columns=["Category"],
      )
  
      df.columns = [
          category
          + {"Score": score_append, "Frequency": freq_append}[
              metric_type
          ]
          for metric_type, category in df.columns.to_flat_index()
      ]
      return df[lambda df: list(sorted(df.columns))]
  
file_path: scattertext/scattertext/all_category_scorers/all_category_scorer.py
imports: import abc
  from typing import Optional, Dict
  import pandas
  from scattertext.termranking.AbsoluteFrequencyRanker import AbsoluteFrequencyRanker
  from scattertext.termranking.TermRanker import TermRanker
label_desc: Use image node_id 6 for calling the AllCategoryScorer obj's underlying member method code with example usage: obj.get_score_df(score_append, freq_append) and returns: df