'Use a single-dimensional array as the dataset and test scott\'s
output'

def test_scott_singledim_dataset(self):

    x1 = np.array([(-7), (-5), 1, 4, 5])
    mygauss = mlab.GaussianKDE(x1, u'scott')
    y_expected = 0.7247796636776955
    assert_almost_equal(mygauss.covariance_factor(), y_expected, 7)
