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How to use test_pandas_data_type method in pandera

Best Python code snippet using pandera_python

test_pandas_engine.py

Source:test_pandas_engine.py

...5from pandera.errors import ParserError6@pytest.mark.parametrize(7    "data_type", list(pandas_engine.Engine.get_registered_dtypes())8)9def test_pandas_data_type(data_type):10    """Test numpy engine DataType base class."""11    if data_type.type is None:12        # don't test data types that require parameters e.g. Category13        return14    pandas_engine.Engine.dtype(data_type)15    pandas_engine.Engine.dtype(data_type.type)16    pandas_engine.Engine.dtype(str(data_type.type))17    with pytest.warns(UserWarning):18        pd_dtype = pandas_engine.DataType(data_type.type)19    with pytest.warns(UserWarning):20        pd_dtype_from_str = pandas_engine.DataType(str(data_type.type))21    assert pd_dtype == pd_dtype_from_str22    assert not pd_dtype.check("foo")23@pytest.mark.parametrize(...

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