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How to use test_numpy_string method in pandera

Best Python code snippet using pandera_python

s100_test.py

Source:s100_test.py

...97    # h5py <3.0 returns a string, >3.0 returns bytes98    assert h5py_string_comp(data[0]['code'], "unit")99    assert h5py_string_comp(data[0]['name'], "Latitude")100    assert h5py_string_comp(data[1]['code'], "test")101def test_numpy_string(s100_file):102    numpy_strings = numpy.array(["sLat", "slong"], dtype='S')103    s100_file.root.add_data("ndStrings", numpy_strings)104    numpy_strings2 = numpy.array(["pLat", "pLon"])105    s100_file.root.add_data("narray", numpy_strings2)106    h5py_specials = numpy.ndarray([2], dtype=h5py.special_dtype(vlen=str))107    h5py_specials[0] = "Lat"108    h5py_specials[1] = "Long"109    s100_file.root.add_data("h5pyStrings", h5py_specials)110    s100_file.write()111    read_file = s100.S100File(s100_file.filename, "r")112    assert h5py_string_comp(read_file['/ndStrings'][0], "sLat")113    assert h5py_string_comp(read_file['/ndStrings'][1], "slong")114    assert h5py_string_comp(read_file['/narray'][1], "pLon")115    assert h5py_string_comp(read_file['/h5pyStrings'][0], "Lat")

test_numpy_engine.py

Source:test_numpy_engine.py

...25            numpy_engine.Engine.dtype(data_type)26    else:27        numpy_engine.Engine._registered_dtypes = set()28        numpy_engine.Engine.dtype(data_type)29def test_numpy_string():30    """Test numpy engine String data type coercion."""31    # pylint: disable=no-value-for-parameter32    string_type = numpy_engine.String()33    assert (34        string_type.coerce(np.array([1, 2, 3, 4, 5], dtype=int))35        == np.array(list("12345"))36    ).all()...

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