Merged revisions 7981 via svnmerge from

jdh2358 · jdh2358 · commit 4dcb9a81eeba · 2009-11-23T21:18:06.000Z
https://matplotlib.svn.sourceforge.net/svnroot/matplotlib/branches/v0_99_maint ........ r7981 | jdh2358 | 2009-11-23 13:16:15 -0800 (Mon, 23 Nov 2009) | 1 line make IndexFormatter derive from Formatter ........ svn path=/trunk/matplotlib/; revision=7982
diff --git a/doc/_templates/indexsidebar.html b/doc/_templates/indexsidebar.html
@@ -4,10 +4,8 @@ <h3>News</h3>
 <p>Please <a href="http://sourceforge.net/project/project_donations.php?group_id=80706">donate</a>
 to support matplotlib development.</p>
 
-<p>We have a release candidate of matplotlib 0.99.1 <a href="http://drop.io/xortel1">available</a> for testing.  Please report any problems on the <a href="http://sourceforge.net/tracker2/?group_id=80706">tracker</a> and  <a href="http://sourceforge.net/mail/?group_id=80706">mailing list</a>.
-</p>
 
-<p>matplotlib 0.99.0 is available for <a href="http://sourceforge.net/projects/matplotlib">download</a>.  See <a href="{{ pathto('users/whats_new') }}">what's new</a> and tips on <a href="{{
+<p>matplotlib 0.99.1 is available for <a href="https://sourceforge.net/projects/matplotlib/files/matplotlib/matplotlib-0.99.1/">download</a>.  See <a href="{{ pathto('users/whats_new') }}">what's new</a> and tips on <a href="{{
 pathto('users/installing') }}">installing</a>
 </p>
 
diff --git a/doc/users/image_tutorial.rst b/doc/users/image_tutorial.rst
@@ -274,7 +274,7 @@ image data, we use the :func:`~matplotlib.pyplot.hist` function.
 
 .. sourcecode:: ipython
 
-    In[10]: plt.hist(lum_img)
+    In[10]: plt.hist(lum_img.flatten(), 256, range=(0.0,1.0), fc='k', ec='k')
 
 .. plot::
 
@@ -283,7 +283,7 @@ image data, we use the :func:`~matplotlib.pyplot.hist` function.
     import numpy as np
     img = mpimg.imread('_static/stinkbug.png')
     lum_img = img[:,:,0]
-    plt.hist(lum_img, range=(0.0,1.0))
+    plt.hist(lum_img.flatten(), 256, range=(0.0,1.0), fc='black', ec='black')
 
 Most often, the "interesting" part of the image is around the peak,
 and you can get extra contrast by clipping the regions above and/or
