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, Index, 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.