hooks + doc amends

README.md

@@ -34,31 +34,26 @@ pip install contrib_colormaps
 
 ## Contributing
 
-To add a colormap, open a pull request on this repository adding a
-comma-separated file of RGB values to the contrib_colormaps/colormaps
+To add a colormap, open a pull request on this repository adding the following files:
+
+1. comma-separated file of RGB values to the contrib_colormaps/colormaps
 directory. This file should look like:
 
 ```
 0,0.20755,0.97632
 0,0.22113,0.96201
 ```
 
-This PR should also include a new notebook in
-[examples/colormaps](examples/colormaps) with a name that matches the
-name of the csv (e.g. for a new colormap called 'rainforest' with a csv
-'rainforest.csv' there should be a corresponding 'rainforest.ipynb').
+2. A Jupyter notebook in[examples/colormaps](examples/colormaps) meeting the following criteria:
 
-The last requirement is that you regenerate the baseline images used for tests.
-First make sure you have holoviews, matplotlib, and pytest-mpl in your
-environment. Then change directories into tests, and regenerate the plots
-
-```
-cd contrib_colorcets/tests
-pytest --mpl-generate-path=baseline
-```
+    1. a name that matches the
+    name of the csv 
+            e.g. for a new colormap called 'rainforest' with a csv 'rainforest.csv' there should be a corresponding 'rainforest.ipynb'
+    2. an explaination of the colormap 
+    3. a swatch of the colormap
+    3. at least one example plot using the colormap
 
 
 ## About PyViz
-
 contrib_colormaps is part of the PyViz initiative for making Python-based
 visualization tools work well together. See [pyviz.org](http://pyviz.org).

contrib_colormaps/plotting.py

@@ -26,10 +26,16 @@ def swatch(name, bounds=None, array=array, **kwargs):
                              default_tools=['xwheel_zoom', 'xpan', 'save', 'reset'],
                              cmap=palette[name]))
     if 'matplotlib' in backends:
-        aspect = kwargs.pop('aspect', 15)
-        fig_size = kwargs.pop('fig_size',350)
-        plot.opts(opts.Image(backend='matplotlib', aspect=aspect, fig_size=fig_size,
-                             cmap=cm[name]))
+        def hook(plot, element):
+            plot.handles['axis'].axis('off')
+            plot.handles['axis'].set_title("sample", loc='left', 
+                                            fontfamily='DejaVu Sans', fontsize=14, 
+                                            fontweight='roman',fontstretch='semi-expanded')
+
+        aspect = kwargs.pop('aspect', 10)
+        fig_size = kwargs.pop('fig_size',300)
+
+        plot.opts(opts.Image(backend='matplotlib', aspect=aspect, fig_size=fig_size, title="", cmap=cm[name], hooks=[hook]))
 
     return plot.opts(opts.Image(xaxis=None, yaxis=None), opts.Image(**kwargs))