pandera.engines.pandas_engine.UINT64.check¶ UINT64.check(pandera_dtype, data_container=None)[source]¶ Check that pandera DataType are equivalent. Parameters: pandera_dtype (DataType) – Expected DataType. data_container (Union[Series, DataFrame, None]) – Data container, used by data types that require the actual data for validation. Return type: Union[bool, Iterable[bool]] Returns: boolean scalar or iterable of boolean scalars, indicating which elements passed the check.