def recode(self, table: pd.DataFrame, validate=False) -> pd.DataFrame:
series = table[self.name]<EOL>self._check_series_name(series)<EOL>col = self.name<EOL>data = series.copy()<EOL>for recoder in self.recoders.values():<EOL><INDENT>try:<EOL><INDENT>data = recoder(data)<EOL><DEDENT>except (BaseException) as err:<EOL><INDENT>raise RecodingError(col, recoder, err)<EOL><DEDENT><DEDENT>if validate:<EOL><INDENT>failed_rows = find_failed_rows(self.validate(data.to_frame()))<EOL>if failed_rows.shape[<NUM_LIT:0>] > <NUM_LIT:0>:<EOL><INDENT>raise ValidationError(f"<STR_LIT>")<EOL><DEDENT><DEDENT>return data.to_frame()<EOL>
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.