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How to use test_prepare_series_check_output_df_level method in pandera

Best Python code snippet using pandera_python

test_checks.py

Source:test_checks.py

...395            exc.failure_cases.query(396                "index == 3 & column == 'b'"397            ).failure_case.iloc[0]398        )399def test_prepare_series_check_output_df_level():400    """Test that dataframe-level checks only ignore rows where all values are null."""401    df = pd.DataFrame(402        {403            "a": [1, 1, 2, 2, 3, 3, None],404            "b": [2, 1, 4, 3, 6, 5, None],405            "c": [None] * 7,406        }407    )408    check = Check(lambda df: df["b"] == df["a"] * 2, ignore_na=True)409    # The last record should evaluate to True, since all values are null410    expected_output = [True, False, True, False, True, False, True]411    result = check(df)...

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