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authorRémi Flamary <remi.flamary@gmail.com>2018-05-30 09:58:51 +0200
committerRémi Flamary <remi.flamary@gmail.com>2018-05-30 09:58:51 +0200
commitb5e45bbc83fd8cd8c1634a78f2f983d1cf28af73 (patch)
tree965b01f0313ff5ac2c2013239adda48f767ba992 /docs/source/auto_examples/plot_barycenter_1D.rst
parent90e42f32bdf0dd06667edaf172c51f4d4fce2c8b (diff)
update examples and notebooks
Diffstat (limited to 'docs/source/auto_examples/plot_barycenter_1D.rst')
-rw-r--r--docs/source/auto_examples/plot_barycenter_1D.rst6
1 files changed, 3 insertions, 3 deletions
diff --git a/docs/source/auto_examples/plot_barycenter_1D.rst b/docs/source/auto_examples/plot_barycenter_1D.rst
index 5b627ca..b314dc1 100644
--- a/docs/source/auto_examples/plot_barycenter_1D.rst
+++ b/docs/source/auto_examples/plot_barycenter_1D.rst
@@ -72,8 +72,8 @@ SIAM Journal on Scientific Computing, 37(2), A1111-A1138.
x = np.arange(n, dtype=np.float64)
# Gaussian distributions
- a1 = ot.datasets.get_1D_gauss(n, m=20, s=5) # m= mean, s= std
- a2 = ot.datasets.get_1D_gauss(n, m=60, s=8)
+ a1 = ot.datasets.make_1D_gauss(n, m=20, s=5) # m= mean, s= std
+ a2 = ot.datasets.make_1D_gauss(n, m=60, s=8)
# creating matrix A containing all distributions
A = np.vstack((a1, a2)).T
@@ -194,7 +194,7 @@ SIAM Journal on Scientific Computing, 37(2), A1111-A1138.
pl.show()
-**Total running time of the script:** ( 0 minutes 0.636 seconds)
+**Total running time of the script:** ( 0 minutes 0.363 seconds)