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How to use test_to_yaml_custom_dataframe_check method in pandera

Best Python code snippet using pandera_python

test_io.py

Source:test_io.py

...515    assert len(loaded.checks) == 1, "global check was stripped"516    with pytest.raises(pandera.errors.SchemaError):517        schema.validate(pd.DataFrame(data={"a": [1]}))518    assert ncols_gt_called, "did not call ncols_gt"519def test_to_yaml_custom_dataframe_check():520    """Tests that writing DataFrameSchema with an unregistered check raises."""521    schema = pandera.DataFrameSchema(522        {523            "a": pandera.Column(524                pandera.Int,525            ),526        },527        checks=[pandera.Check(lambda obj: len(obj.index) > 1)],528    )529    with pytest.warns(UserWarning, match=".*registered checks.*"):530        pandera.io.to_yaml(schema)531    # the unregistered column check case is tested in532    # `test_to_yaml_lambda_check`533def test_to_yaml_bugfix_warn_unregistered_global_checks():...

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