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How to use _multi_check_schema method in pandera

Best Python code snippet using pandera_python

test_errors.py

Source:test_errors.py

...94@pytest.fixture(name="int_dataframe")95def fixture_int_dataframe() -> pd.DataFrame:96    """Fixture for simple DataFrame with one negative value."""97    return pd.DataFrame({"a": [-1, 0, 1]})98def _multi_check_schema() -> DataFrameSchema:99    """Schema with multiple positivity checks on column `a`"""100    return DataFrameSchema(101        {102            "a": Column(103                int,104                [105                    Check.isin([0, 1]),106                    Check(lambda x: x >= 0),107                ],108            ),109        }110    )111@pytest.fixture(name="multi_check_schema")112def fixture_multi_check_schema() -> DataFrameSchema:113    """Schema with multiple positivity checks on column `a`"""114    return _multi_check_schema()115@pytest.mark.filterwarnings("ignore:Pickling SchemaError")116class TestSchemaError:117    """Tests pickling behavior of errors.SchemaError."""118    @staticmethod119    @pytest.mark.parametrize(120        "check_obj", [Check.isin([0, 1]), Check(lambda x: x >= 0)]121    )122    def test_pickling(int_dataframe: pd.DataFrame, check_obj: Check):123        """Test for a non-empty pickled object."""124        schema = DataFrameSchema({"a": Column(int, check_obj)})125        try:126            # fails for element -1127            schema.validate(int_dataframe)128        except SchemaError as exc:...

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