diff options
Diffstat (limited to 'test/test_plot.py')
-rw-r--r-- | test/test_plot.py | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/test/test_plot.py b/test/test_plot.py index a50ed14..f77d879 100644 --- a/test/test_plot.py +++ b/test/test_plot.py @@ -20,8 +20,8 @@ def test_plot1D_mat(): x = np.arange(n_bins, dtype=np.float64) # Gaussian distributions - a = ot.datasets.get_1D_gauss(n_bins, m=20, s=5) # m= mean, s= std - b = ot.datasets.get_1D_gauss(n_bins, m=60, s=10) + a = ot.datasets.make_1D_gauss(n_bins, m=20, s=5) # m= mean, s= std + b = ot.datasets.make_1D_gauss(n_bins, m=60, s=10) # loss matrix M = ot.dist(x.reshape((n_bins, 1)), x.reshape((n_bins, 1))) @@ -43,8 +43,8 @@ def test_plot2D_samples_mat(): mu_t = np.array([4, 4]) cov_t = np.array([[1, -.8], [-.8, 1]]) - xs = ot.datasets.get_2D_samples_gauss(n_bins, mu_s, cov_s) - xt = ot.datasets.get_2D_samples_gauss(n_bins, mu_t, cov_t) + xs = ot.datasets.make_2D_samples_gauss(n_bins, mu_s, cov_s) + xt = ot.datasets.make_2D_samples_gauss(n_bins, mu_t, cov_t) G = 1.0 * (np.random.rand(n_bins, n_bins) < 0.01) |