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How to use format_vectorized_error_message method in pandera

Best Python code snippet using pandera_python

schemas.py

Source:schemas.py

...2060        else:2061            failure_cases = reshape_failure_cases(2062                check_result.failure_cases, check.ignore_na2063            )2064            error_msg = format_vectorized_error_message(2065                schema, check, check_index, failure_cases2066            )2067        # raise a warning without exiting if the check is specified to do so2068        if check.raise_warning:2069            warnings.warn(error_msg, UserWarning)2070            return True2071        raise errors.SchemaError(2072            schema,2073            check_obj,2074            error_msg,2075            failure_cases=failure_cases,2076            check=check,2077            check_index=check_index,2078            check_output=check_result.check_output,...

error_formatters.py

Source:error_formatters.py

...16    return (17        f"{parent_schema} failed series or dataframe validator "18        f"{check_index}:\n{check}"19    )20def format_vectorized_error_message(21    parent_schema,22    check: _CheckBase,23    check_index: int,24    reshaped_failure_cases: pd.DataFrame,25) -> str:26    """Construct an error message when a validator fails.27    :param parent_schema: class of schema being validated.28    :param check: check that generated error.29    :param check_index: The validator that failed.30    :param reshaped_failure_cases: The failure cases encountered by the31        element-wise or vectorized validator.32    """33    return (34        f"{parent_schema} failed element-wise validator {check_index}:\n"...

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