big update examples

1 files changed, 41 insertions, 21 deletions

diff --git a/docs/source/auto_examples/plot_gromov_barycenter.rst b/docs/source/auto_examples/plot_gromov_barycenter.rst
index 531ee22..995cca7 100644
--- a/docs/source/auto_examples/plot_gromov_barycenter.rst
+++ b/docs/source/auto_examples/plot_gromov_barycenter.rst
@@ -1,6 +1,12 @@
+.. only:: html
+
+    .. note::
+        :class: sphx-glr-download-link-note
 
+        Click :ref:`here <sphx_glr_download_auto_examples_plot_gromov_barycenter.py>`     to download the full example code
+    .. rst-class:: sphx-glr-example-title
 
-.. _sphx_glr_auto_examples_plot_gromov_barycenter.py:
+    .. _sphx_glr_auto_examples_plot_gromov_barycenter.py:
 
 
 =====================================
@@ -11,8 +17,7 @@ This example is designed to show how to use the Gromov-Wasserstein distance
 computation in POT.
 
 
-
-.. code-block:: python
+.. code-block:: default
 
 
     # Author: Erwan Vautier <erwan.vautier@gmail.com>
@@ -24,7 +29,6 @@ computation in POT.
     import numpy as np
     import scipy as sp
 
-    import scipy.ndimage as spi
     import matplotlib.pylab as pl
     from sklearn import manifold
     from sklearn.decomposition import PCA
@@ -37,6 +41,7 @@ computation in POT.
 
 
 
+
 Smacof MDS
 ----------
 
@@ -44,8 +49,7 @@ This function allows to find an embedding of points given a dissimilarity matrix
 that will be given by the output of the algorithm
 
 
-
-.. code-block:: python
+.. code-block:: default
 
 
 
@@ -101,14 +105,14 @@ that will be given by the output of the algorithm
 
 
 
+
 Data preparation
 ----------------
 
 The four distributions are constructed from 4 simple images
 
 
-
-.. code-block:: python
+.. code-block:: default
 
 
 
@@ -117,10 +121,10 @@ The four distributions are constructed from 4 simple images
         return I.reshape((I.shape[0] * I.shape[1], I.shape[2]))
 
 
-    square = spi.imread('../data/square.png').astype(np.float64)[:, :, 2] / 256
-    cross = spi.imread('../data/cross.png').astype(np.float64)[:, :, 2] / 256
-    triangle = spi.imread('../data/triangle.png').astype(np.float64)[:, :, 2] / 256
-    star = spi.imread('../data/star.png').astype(np.float64)[:, :, 2] / 256
+    square = pl.imread('../data/square.png').astype(np.float64)[:, :, 2] / 256
+    cross = pl.imread('../data/cross.png').astype(np.float64)[:, :, 2] / 256
+    triangle = pl.imread('../data/triangle.png').astype(np.float64)[:, :, 2] / 256
+    star = pl.imread('../data/star.png').astype(np.float64)[:, :, 2] / 256
 
     shapes = [square, cross, triangle, star]
 
@@ -143,12 +147,12 @@ The four distributions are constructed from 4 simple images
 
 
 
+
 Barycenter computation
 ----------------------
 
 
-
-.. code-block:: python
+.. code-block:: default
 
 
 
@@ -200,14 +204,14 @@ Barycenter computation
 
 
 
+
 Visualization
 -------------
 
 The PCA helps in getting consistency between the rotations
 
 
-
-.. code-block:: python
+.. code-block:: default
 
 
 
@@ -297,27 +301,43 @@ The PCA helps in getting consistency between the rotations
 
 
 .. image:: /auto_examples/images/sphx_glr_plot_gromov_barycenter_001.png
-    :align: center
+    :class: sphx-glr-single-img
+
+
+.. rst-class:: sphx-glr-script-out
+
+ Out:
+
+ .. code-block:: none
 
 
+    <matplotlib.collections.PathCollection object at 0x7ff28e5d6080>
 
 
-**Total running time of the script:** ( 0 minutes  5.906 seconds)
 
 
+.. rst-class:: sphx-glr-timing
+
+   **Total running time of the script:** ( 0 minutes  1.747 seconds)
+
+
+.. _sphx_glr_download_auto_examples_plot_gromov_barycenter.py:
+
 
 .. only :: html
 
  .. container:: sphx-glr-footer
+    :class: sphx-glr-footer-example
+
 
 
-  .. container:: sphx-glr-download
+  .. container:: sphx-glr-download sphx-glr-download-python
 
      :download:`Download Python source code: plot_gromov_barycenter.py <plot_gromov_barycenter.py>`
 
 
 
-  .. container:: sphx-glr-download
+  .. container:: sphx-glr-download sphx-glr-download-jupyter
 
      :download:`Download Jupyter notebook: plot_gromov_barycenter.ipynb <plot_gromov_barycenter.ipynb>`
 
@@ -326,4 +346,4 @@ The PCA helps in getting consistency between the rotations
 
  .. rst-class:: sphx-glr-signature
 
-    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.readthedocs.io>`_
+    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_