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How to use test_dataframe_schema_strict method in pandera

Best Python code snippet using pandera_python

test_schemas.py

Source:test_schemas.py

...100    assert schema != "schema"101    assert DataFrameSchema(coerce=True) != DataFrameSchema(coerce=False)102    assert schema != schema.update_column("a", dtype=float)103    assert schema != schema.update_column("a", checks=Check.eq(1))104def test_dataframe_schema_strict() -> None:105    """106    Checks if strict=True whether a schema error is raised because 'a' is107    not present in the dataframe.108    """109    schema = DataFrameSchema(110        {111            "a": Column(int, nullable=True),112            "b": Column(int, nullable=True),113        },114        strict=True,115    )116    df = pd.DataFrame({"a": [1, 2, 3], "b": [1, 2, 3], "c": [1, 2, 3]})117    assert isinstance(schema.validate(df.loc[:, ["a", "b"]]), pd.DataFrame)118    with pytest.raises(errors.SchemaError):...

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