'Use a single dimension list as the dataset and test silverman\'s
output.'

def test_silverman_singledim_dataset(self):

    x1 = np.array([(-7), (-5), 1, 4, 5])
    mygauss = mlab.GaussianKDE(x1, u'silverman')
    y_expected = 0.767703899274755
    assert_almost_equal(mygauss.covariance_factor(), y_expected, 7)
