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How to use test_strict_schema method in pandera

Best Python code snippet using pandera_python

test_schemas_on_koalas.py

Source:test_schemas_on_koalas.py

...344        with pytest.raises(pa.errors.SchemaError, match="non-nullable series"):345            to_schema(sample)346        return347    assert isinstance(to_schema(sample), ks.DataFrame)348def test_strict_schema():349    """Test schema strictness."""350    strict_schema = pa.DataFrameSchema({"field": pa.Column()}, strict=True)351    non_strict_schema = pa.DataFrameSchema({"field": pa.Column()})352    strict_df = ks.DataFrame({"field": [1]})353    non_strict_df = ks.DataFrame({"field": [1], "foo": [2]})354    strict_schema(strict_df)355    non_strict_schema(strict_df)356    with pytest.raises(357        pa.errors.SchemaError, match="column 'foo' not in DataFrameSchema"358    ):359        strict_schema(non_strict_df)360    non_strict_schema(non_strict_df)361def test_custom_checks():362    """Test that custom checks can be executed."""...

test_schemas_on_modin.py

Source:test_schemas_on_modin.py

...259                with pytest.raises(ValueError):260                    to_dtype(x)261        return262    assert isinstance(to_schema(sample), mpd.DataFrame)263def test_strict_schema():264    """Test schema strictness."""265    strict_schema = pa.DataFrameSchema({"field": pa.Column()}, strict=True)266    non_strict_schema = pa.DataFrameSchema({"field": pa.Column()})267    strict_df = mpd.DataFrame({"field": [1]})268    non_strict_df = mpd.DataFrame({"field": [1], "foo": [2]})269    strict_schema(strict_df)270    non_strict_schema(strict_df)271    with pytest.raises(272        pa.errors.SchemaError, match="column 'foo' not in DataFrameSchema"273    ):274        strict_schema(non_strict_df)275    non_strict_schema(non_strict_df)276# pylint: disable=unused-argument277def test_custom_checks(custom_check_teardown):...

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