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How to use test_numpy_pandas_coerce_failure_cases method in pandera

Best Python code snippet using pandera_python

test_engine_utils.py

Source:test_engine_utils.py

...27        pd.DataFrame({0: [1, 2, 3, 4]}),28        np.array([[1], [2], [3], [4]]),29    ],30)31def test_numpy_pandas_coerce_failure_cases(data_container):32    """33    Test that different data container types can be checked for coerce failure34    cases.35    """36    failure_cases = utils.numpy_pandas_coerce_failure_cases(37        data_container, int38    )39    assert isinstance(failure_cases, pd.DataFrame)40    assert failure_cases.empty41@pytest.mark.parametrize(42    "invalid_data_container, exception_type",43    [44        [1, TypeError],45        [5.1, TypeError],...

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