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How to use test_lazy_dataframe_unique method in pandera

Best Python code snippet using pandera_python

test_schemas.py

Source:test_schemas.py

...1091    )1092    schema = schema_cls(checks=check)1093    with pytest.raises(errors.SchemaErrors):1094        schema(data, lazy=True)1095def test_lazy_dataframe_unique() -> None:1096    """Tests the lazy evaluation of the unique keyword"""1097    data = pd.DataFrame.from_dict(1098        {"A": [1, 2, 3, 4], "B": [1, 2, 3, 1], "C": [1, 2, 3, 1]}1099    )1100    schema = DataFrameSchema(1101        columns={"A": Column(Int), "B": Column(Int), "C": Column(Int)},1102        strict=False,1103        coerce=True,1104        unique=None,1105    )1106    assert isinstance(schema.validate(data, lazy=False), pd.DataFrame)1107    schema.unique = ["A", "B"]1108    assert isinstance(schema.validate(data, lazy=False), pd.DataFrame)1109    schema.unique = ["B", "C"]...

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