code: def recode(self, table: pd.DataFrame, validate=False) -> pd.DataFrame:
          
          series = table[self.name]
  
          self._check_series_name(series)
  
          col = self.name
  
          data = series.copy()
  
          for recoder in self.recoders.values():
              try:
                  data = recoder(data)
              except (BaseException) as err:
                  raise RecodingError(col, recoder, err)
  
          if validate:
              failed_rows = find_failed_rows(self.validate(data.to_frame()))
              if failed_rows.shape[0] > 0:
                  raise ValidationError(f"Rows that failed to validate for column '{self.name}':\n{failed_rows}")
  
          return data.to_frame()
docs: Pass the provided series obj through each recoder function sequentially and return the final result.
  
          Args:
              table (pd.DataFrame): A dataframe on which to apply recoding logic.
              validate (bool): If ``True``, recoded table must pass validation tests.