code: def evaluate(self, verbose=True, passes=None):
          
          i = 0
          exprs = []
          for column_name in self.column_names:
              if len(self.column_names) > 1:
                  index = "1.$%d" % i
              else:
                  index = "1"
              expr = self.get_column(
                  column_name,
                  self.column_types[i],
                  index,
                  verbose=verbose
              )
              i += 1
              exprs.append(expr)
  
          i = 0
          for column_name in self.grouping_column_name:
              if len(self.grouping_column_name) > 1:
                  index = "0.$%d" % i
              else:
                  index = "0"
              expr = self.get_column(
                  column_name,
                  self.grouping_column_types[i],
                  index,
                  verbose=verbose
              )
              exprs.append(expr)
              i += 1
  
          result = utils.group(exprs).evaluate(verbose=verbose, passes=passes)
          df = pd.DataFrame(columns=[])
          all_columns = self.column_names + self.grouping_column_name
          for i, column_name in enumerate(all_columns):
              df[column_name] = result[i]
          return dataframeweld.DataFrameWeld(df)
docs: Summary
  
          Returns:
              TYPE: Description