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How to use test_series_schema_dtype method in pandera

Best Python code snippet using pandera_python

test_schemas.py

Source:test_schemas.py

...1462        schema_simple.update_columns({"col1": {"name": "foo"}})1463    with pytest.raises(errors.SchemaInitError):1464        schema_simple.update_columns({"ind0": {"dtype": int}})1465@pytest.mark.parametrize("dtype", [int, None])  # type: ignore1466def test_series_schema_dtype(dtype):1467    """Series schema dtype property should return1468    a Engine-compatible dtype."""1469    if dtype is None:1470        series_schema = SeriesSchema(dtype)1471        assert series_schema.dtype is None1472    else:1473        assert SeriesSchema(dtype).dtype == Engine.dtype(dtype)1474@pytest.mark.parametrize(1475    "data, error",1476    [1477        [1478            pd.DataFrame(1479                [[1, 2, 3], [4, 5, 6], [7, 8, 9]], columns=["a", "a", "b"]1480            ),...

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