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-rw-r--r--docs/source/auto_examples/plot_OT_2D_samples.rst18
1 files changed, 12 insertions, 6 deletions
diff --git a/docs/source/auto_examples/plot_OT_2D_samples.rst b/docs/source/auto_examples/plot_OT_2D_samples.rst
index 5565c54..624ae3e 100644
--- a/docs/source/auto_examples/plot_OT_2D_samples.rst
+++ b/docs/source/auto_examples/plot_OT_2D_samples.rst
@@ -23,6 +23,7 @@ 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
@@ -48,8 +49,8 @@ Generate data
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
@@ -191,11 +192,13 @@ Compute Sinkhorn
-**Total running time of the script:** ( 0 minutes 3.380 seconds)
+**Total running time of the script:** ( 0 minutes 3.027 seconds)
-.. container:: sphx-glr-footer
+.. only :: html
+
+ .. container:: sphx-glr-footer
.. container:: sphx-glr-download
@@ -208,6 +211,9 @@ Compute Sinkhorn
:download:`Download Jupyter notebook: plot_OT_2D_samples.ipynb <plot_OT_2D_samples.ipynb>`
-.. rst-class:: sphx-glr-signature
- `Generated by Sphinx-Gallery <http://sphinx-gallery.readthedocs.io>`_
+.. only:: html
+
+ .. rst-class:: sphx-glr-signature
+
+ `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.readthedocs.io>`_