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How to use is_supported_check_obj method in pandera

Best Python code snippet using pandera_python

checks.py

Source:checks.py

...353        # series that matches the shape and index of the check_obj354        if (355            isinstance(check_obj, dict)356            or isinstance(check_output, bool)357            or not check_utils.is_supported_check_obj(check_output)358            or check_obj.shape[0] != check_output.shape[0]359            or (check_obj.index != check_output.index).all()360        ):361            failure_cases = None362        elif check_utils.is_field(check_output):363            (364                check_output,365                failure_cases,366            ) = check_utils.prepare_series_check_output(367                check_obj,368                check_output,369                ignore_na=self.ignore_na,370                n_failure_cases=self.n_failure_cases,371            )...

check_utils.py

Source:check_utils.py

...64    return isinstance(obj, _supported_types().index_types)65def is_multiindex(obj):66    """Verifies whether an object is a multi-level table index."""67    return isinstance(obj, _supported_types().multiindex_types)68def is_supported_check_obj(obj):69    """Verifies whether an object is table- or field-like."""70    return is_table(obj) or is_field(obj)71def prepare_series_check_output(72    check_obj: Union[pd.Series, pd.DataFrame],73    check_output: pd.Series,74    ignore_na: bool = True,75    n_failure_cases: Optional[int] = None,76) -> Tuple[pd.Series, pd.Series]:77    """Prepare the check output and failure cases for a Series check output.78    check_obj can be a dataframe, since a check function can potentially return79    a Series resulting from applying some check function that outputs a Series.80    """81    if ignore_na:82        isna = (...

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