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How to use test_schema_level_unique_keyword method in pandera

Best Python code snippet using pandera_python

test_schemas.py

Source:test_schemas.py

...1571        (False, True),1572        ((("a", "b"), ["b", "c"]), True),1573    ],1574)1575def test_schema_level_unique_keyword(unique_kw, expected):1576    """1577    Test that dataframe schema-level unique keyword correctly validates1578    uniqueness of multiple columns.1579    """1580    test_schema = DataFrameSchema(1581        columns={"a": Column(int), "b": Column(int), "c": Column(int)},1582        unique=unique_kw,1583    )1584    df = pd.DataFrame({"a": [1, 2, 1], "b": [1, 5, 6], "c": [1, 5, 1]})1585    if expected == "SchemaError":1586        with pytest.raises(errors.SchemaError):1587            test_schema.validate(df)1588    else:1589        assert isinstance(test_schema.validate(df), pd.DataFrame)...

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