def test_normalize_numpy_array(self):
#Arrange Create Array [[-70,-0.5,0,0.3,100]] , Create Normalizer, Fit Normalizer to Array
data = np.array([[-70, -0.5, 0, 0.3, 100]])
normalizer = ScikitNormalizer()
normalizer.fit(data)
#Act Normalize the data
result = normalizer.transform(data)
#Assert the values of the result
expected = np.array([[ 0.2132721 , 0.49795194, 0.5 , 0.50122883, 0.90961129]])
np.testing.assert_array_almost_equal(result, expected)
def test_normalize_numpy_array2(self):
#Arrange Create Array [[-1050,-0.35,0,0.13,4]] , Create Normalizer, Fit Normalizer to Array
data = np.array([[-1050, -0.35, 0, 0.13, 4]])
normalizer = ScikitNormalizer()
normalizer.fit(data)
#Act Normalize the data
result = normalizer.transform(data)
#Assert the values of the result
expected = np.array([[ 3.65968771e-06, 4.99833335e-01, 5.00000000e-01, 5.00061904e-01, 5.01904748e-01]])
np.testing.assert_array_almost_equal(result, expected)
