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How to use test_schema_coerce_inplace_validation method in pandera

Best Python code snippet using pandera_python

test_schemas.py

Source:test_schemas.py

...1317        [int, object],1318        [float, object],1319    ],1320)1321def test_schema_coerce_inplace_validation(1322    inplace: bool, from_dtype: Type, to_dtype: Type1323) -> None:1324    """Test coercion logic for validation when inplace is True and False"""1325    from_dtype = (1326        from_dtype if from_dtype is not int else str(Engine.dtype(from_dtype))1327    )1328    to_dtype = to_dtype if to_dtype is not int else str(Engine.dtype(to_dtype))1329    df = pd.DataFrame({"column": pd.Series([1, 2, 6], dtype=from_dtype)})1330    schema = DataFrameSchema({"column": Column(to_dtype, coerce=True)})1331    validated_df = schema.validate(df, inplace=inplace)1332    assert validated_df["column"].dtype == to_dtype1333    if inplace:1334        # inplace mutates original dataframe1335        assert df["column"].dtype == to_dtype...

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