How to use format_vectorized_error_message method in pandera

Best Python code snippet using pandera_python

schemas.py

Source:schemas.py Github

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...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,...

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error_formatters.py

Source:error_formatters.py Github

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...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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