pandera.engines.polars_engine.Int64.check

Int64.check(pandera_dtype, data_container=None)[source]

Check that pandera DataType are equivalent.

Parameters:
  • pandera_dtype (DataType) – Expected DataType.

  • data_container (Union[LazyFrame, PolarsData, 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.