How to use is_supported_check_obj method in pandera

Best Python code snippet using pandera_python

checks.py

Source:checks.py Github

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...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 )...

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check_utils.py

Source:check_utils.py Github

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...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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