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| author | Rémi Flamary <remi.flamary@gmail.com> | 2018-05-30 09:58:51 +0200 |
|---|---|---|
| committer | Rémi Flamary <remi.flamary@gmail.com> | 2018-05-30 09:58:51 +0200 |
| commit | b5e45bbc83fd8cd8c1634a78f2f983d1cf28af73 (patch) | |
| tree | 965b01f0313ff5ac2c2013239adda48f767ba992 /docs/source/auto_examples/plot_barycenter_1D.py | |
| parent | 90e42f32bdf0dd06667edaf172c51f4d4fce2c8b (diff) | |
update examples and notebooks
Diffstat (limited to 'docs/source/auto_examples/plot_barycenter_1D.py')
| -rw-r--r-- | docs/source/auto_examples/plot_barycenter_1D.py | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/docs/source/auto_examples/plot_barycenter_1D.py b/docs/source/auto_examples/plot_barycenter_1D.py index ecf640c..5ed9f3f 100644 --- a/docs/source/auto_examples/plot_barycenter_1D.py +++ b/docs/source/auto_examples/plot_barycenter_1D.py @@ -37,8 +37,8 @@ n = 100 # nb bins 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 |