code: def get_p_vals(df, positive_category, term_significance):
      """
      Parameters
      ----------
      df : A data frame from, e.g., get_term_freq_df : pd.DataFrame
      positive_category : str
              The positive category name.
      term_significance : TermSignificance
              A TermSignificance instance from which to extract p-values.
      """
      df_pos = df[[positive_category]]
      df_pos.columns = ["pos"]
      df_neg = pd.DataFrame(
          df[
              [
                  c
                  for c in df.columns
                  if c != positive_category and c.endswith(" freq")
              ]
          ].sum(axis=1)
      )
      df_neg.columns = ["neg"]
      X = df_pos.join(df_neg)[["pos", "neg"]].values
      return term_significance.get_p_vals(X)
  
label_desc: Use image node_id 1 for calling a global function with example usage: get_p_vals(df, positive_category, term_significance) and returns: term_significance