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-rw-r--r--examples/plot_OT_2D_samples.py5
1 files changed, 3 insertions, 2 deletions
diff --git a/examples/plot_OT_2D_samples.py b/examples/plot_OT_2D_samples.py
index 9818ec5..bb952a0 100644
--- a/examples/plot_OT_2D_samples.py
+++ b/examples/plot_OT_2D_samples.py
@@ -16,6 +16,7 @@ sum of diracs. The OT matrix is plotted with the samples.
import numpy as np
import matplotlib.pylab as pl
import ot
+import ot.plot
##############################################################################
# Generate data
@@ -31,8 +32,8 @@ cov_s = np.array([[1, 0], [0, 1]])
mu_t = np.array([4, 4])
cov_t = np.array([[1, -.8], [-.8, 1]])
-xs = ot.datasets.get_2D_samples_gauss(n, mu_s, cov_s)
-xt = ot.datasets.get_2D_samples_gauss(n, mu_t, cov_t)
+xs = ot.datasets.make_2D_samples_gauss(n, mu_s, cov_s)
+xt = ot.datasets.make_2D_samples_gauss(n, mu_t, cov_t)
a, b = np.ones((n,)) / n, np.ones((n,)) / n # uniform distribution on samples