How to use test_numpy_string method in pandera

Best Python code snippet using pandera_python

s100_test.py

Source:s100_test.py Github

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...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")

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test_numpy_engine.py

Source:test_numpy_engine.py Github

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...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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