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How to use test_index_schema_coerce method in pandera

Best Python code snippet using pandera_python

test_schema_components.py

Source:test_schema_components.py

...58    assert schema.index.names == [None]59    with pytest.raises(errors.SchemaError):60        schema.validate(pd.DataFrame(index=range(1, 20)))61@pytest.mark.parametrize("dtype", [Float, Int, String])62def test_index_schema_coerce(dtype):63    """Test that index can be type-coerced."""64    schema = DataFrameSchema(index=Index(dtype, coerce=True))65    df = pd.DataFrame(index=pd.Index([1, 2, 3, 4], dtype="int64"))66    validated_index_dtype = Engine.dtype(schema(df).index.dtype)67    assert schema.index.dtype.check(validated_index_dtype)68def test_multi_index_columns() -> None:69    """Tests that multi-index Columns within DataFrames validate correctly."""70    schema = DataFrameSchema(71        {72            ("zero", "foo"): Column(Float, Check(lambda s: (s > 0) & (s < 1))),73            ("zero", "bar"): Column(74                String, Check(lambda s: s.isin(["a", "b", "c", "d"]))75            ),76            ("one", "foo"): Column(Int, Check(lambda s: (s > 0) & (s < 10))),...

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