d1f932a01a3a2d73167dea9be55ffae747d1b66b,astroML/stats/tests/test_stats.py,,test_mean_sigma,#,24

Before Change

    for shape in [(4, ), (4, 5), (4, 5, 6)]:
        a = np.random.random(shape)
        for axis in (None, 0):
            for ddof in (0, 1):
                yield (check_mean_sigma, a, axis, ddof)


//---------------------------------------------------------------------------
// Check that the keepdims argument works as expected
//  we"ll later compare median_sigmaG to these results, so that
//  is effectively tested as well.
def check_mean_sigma_keepdims(a, axis):
    mu1, sigma1 = mean_sigma(a, axis, keepdims=False)
    mu2, sigma2 = mean_sigma(a, axis, keepdims=True)

After Change

    np.random.seed(0)

    a = np.random.random(a_shape)
    mu1, sigma1 = mean_sigma(a, axis=axis,
                             ddof=ddof)

    mu2 = np.mean(a, axis=axis)
    sigma2 = np.std(a, axis=axis, ddof=ddof)

Instances