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How to use test_check_types_coerce method in pandera

Best Python code snippet using pandera_python

test_decorators.py

Source:test_decorators.py

...513        df: typing.Optional[DataFrame[InSchema]],514    ) -> typing.Optional[DataFrame[OutSchema]]:515        return None516    assert transform(None) is None517def test_check_types_coerce() -> None:518    """Test that check_types return the result of validate."""519    @check_types()520    def transform_in(df: DataFrame[InSchema]):521        return df522    df = transform_in(pd.DataFrame({"a": ["1"]}, index=["1"]))523    expected = InSchema.to_schema().columns["a"].dtype524    assert Engine.dtype(df["a"].dtype) == expected525    @check_types()526    def transform_out() -> DataFrame[OutSchema]:527        # OutSchema.b should be coerced to an integer.528        return pd.DataFrame({"b": ["1"]})529    out_df = transform_out()530    expected = OutSchema.to_schema().columns["b"].dtype531    assert Engine.dtype(out_df["b"].dtype) == expected...

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