matplotlib
diff --git a/‎cmocean/_images/index-10.png‎
-287 Bytes b/‎cmocean/_images/index-10.png‎
-287 Bytes
diff --git a/‎cmocean/_images/index-5.png‎
1.11 KB b/‎cmocean/_images/index-5.png‎
1.11 KB
diff --git a/‎cmocean/_images/index-6.png‎
273 Bytes b/‎cmocean/_images/index-6.png‎
273 Bytes
diff --git a/‎cmocean/_images/index-7.png‎
-1.26 KB b/‎cmocean/_images/index-7.png‎
-1.26 KB
diff --git a/‎cmocean/_images/index-8.png‎
19.7 KB b/‎cmocean/_images/index-8.png‎
19.7 KB
diff --git a/‎cmocean/_images/index-9.png‎
-16.1 KB b/‎cmocean/_images/index-9.png‎
-16.1 KB
diff --git a/‎cmocean/_sources/index.txt‎
Lines changed: 5 additions & 12 deletions b/‎cmocean/_sources/index.txt‎
Lines changed: 5 additions & 12 deletions
diff --git a/‎cmocean/index-1.pdf‎
0 Bytes b/‎cmocean/index-1.pdf‎
0 Bytes
diff --git a/‎cmocean/index-10.hires.png‎
-177 Bytes b/‎cmocean/index-10.hires.png‎
-177 Bytes
diff --git a/‎cmocean/index-10.pdf‎
-2.97 KB b/‎cmocean/index-10.pdf‎
-2.97 KB
@@ -145,17 +145,10 @@ deep
 
 The *deep* colormap is sequential from light yellow to potentially represent shallower water through pale green to increasingly dark blue and purple to represent increasing depth.
 
-.. plot::
-   :include-source:
-
-   import cmocean
-   import matplotlib.pyplot as plt
+.. figure:: https://cloud.githubusercontent.com/assets/3487237/16900541/4af66c4c-4bf5-11e6-92a9-82eaa39cb18b.png
+   :target: http://iuryt.github.io/tutorial/Como_fazer_um_mapa02.html
 
-   fig = plt.figure(figsize=(8, 3))
-   ax = fig.add_subplot(1, 2, 1)
-   cmocean.plots.test(cmocean.cm.deep, ax=ax)
-   ax = fig.add_subplot(1, 2, 2)
-   cmocean.plots.quick_plot(cmocean.cm.deep, ax=ax)
+   Bathymetry plot, by `Iury Sousa <http://iuryt.github.io/>`_
 
 dense
 ^^^^^
@@ -344,7 +337,7 @@ Output a dictionary to define a colormap with:
    import cmocean
 
    cmdict = cmocean.tools.get_dict(cmocean.cm.matter, N=9)
-   print cmdict
+   print(cmdict)
 
 Make a colormap instance with ``cmap = cmocean.tools.cmap(rgbin, N=10)`` given the rgb input array.
 
@@ -379,7 +372,7 @@ cmocean available elsewhere!
 * For `Paraview <https://github.com/kthyng/cmocean-paraview>`_, inspired by `Phillip Wolfram <https://github.com/pwolfram>`_.
 * In `Plotly <https://plot.ly/python/cmocean-colorscales/>`_
 * Chad Greene's `Antartic Mapping Tools <http://www.mathworks.com/matlabcentral/fileexchange/47638-antarctic-mapping-tools>`_ in Matlab uses cmocean
-* In PyNcView: coming soon!
+.. * In PyNcView: coming soon!
 
 Examples of beautiful visualizations:
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^