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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 /examples/plot_OT_2D_samples.py | |
| parent | 90e42f32bdf0dd06667edaf172c51f4d4fce2c8b (diff) | |
update examples and notebooks
Diffstat (limited to 'examples/plot_OT_2D_samples.py')
| -rw-r--r-- | examples/plot_OT_2D_samples.py | 5 |
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 |