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How to use format_generic_error_message method in pandera

Best Python code snippet using pandera_python

schemas.py

Source:schemas.py

...2053    if not check_result.check_passed:2054        if check_result.failure_cases is None:2055            # encode scalar False values explicitly2056            failure_cases = scalar_failure_case(check_result.check_passed)2057            error_msg = format_generic_error_message(2058                schema, check, check_index2059            )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(...

error_formatters.py

Source:error_formatters.py

2from typing import Union3import pandas as pd4from . import check_utils5from .checks import _CheckBase6def format_generic_error_message(7    parent_schema,8    check: _CheckBase,9    check_index: int,10) -> str:11    """Construct an error message when a check validator fails.12    :param parent_schema: class of schema being validated.13    :param check: check that generated error.14    :param check_index: The validator that failed.15    """16    return (17        f"{parent_schema} failed series or dataframe validator "18        f"{check_index}:\n{check}"19    )20def format_vectorized_error_message(...

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