code: def _summarize(summary_df, measures_df, column, threshold):
      measures_df = measures_df.sort_values(column, ascending=False)
      total = measures_df[column].sum()
      column_df = measures_df[measures_df[column] > threshold]
      top = column_df[column].sum()
      summary_df.loc[len(summary_df)] = [
          column,
          total,
          top,
          len(column_df),
          top / total,
      ]
      return column_df.to_string(index=False) + "\n"
  
label_desc: Use image node_id 1 for calling a global function with example usage: _summarize(summary_df, measures_df, column, threshold) and returns: unknown