SF.net SVN: matplotlib: [5401] trunk/matplotlib

[<jd...@us...>]

Revision: 5401
          http://matplotlib.svn.sourceforge.net/matplotlib/?rev=5401&view=rev
Author:   jdh2358
Date:     2008-06-05 09:17:57 -0700 (Thu, 05 Jun 2008)

Log Message:
-----------
fixed collection demo to remove deprecated dpi

Modified Paths:
--------------
    trunk/matplotlib/doc/users/navigation_toolbar.rst
    trunk/matplotlib/examples/api/collections_demo.py

Added Paths:
-----------
    trunk/matplotlib/doc/_static/toolbar.png

Added: trunk/matplotlib/doc/_static/toolbar.png
===================================================================
(Binary files differ)


Property changes on: trunk/matplotlib/doc/_static/toolbar.png
___________________________________________________________________
Name: svn:mime-type
   + application/octet-stream

Modified: trunk/matplotlib/doc/users/navigation_toolbar.rst
===================================================================
--- trunk/matplotlib/doc/users/navigation_toolbar.rst	2008-06-05 15:08:28 UTC (rev 5400)
+++ trunk/matplotlib/doc/users/navigation_toolbar.rst	2008-06-05 16:17:57 UTC (rev 5401)
@@ -3,6 +3,9 @@
 Interactive navigation
 ======================
 
+.. image:: ../_static/toolbar.png
+   :scale: 100
+
 All figure windows come with a navigation toolbar, which can be used
 to navigate through the data set.  Here is a description of each of
 the buttons at the bottom of the toolbar

Modified: trunk/matplotlib/examples/api/collections_demo.py
===================================================================
--- trunk/matplotlib/examples/api/collections_demo.py	2008-06-05 15:08:28 UTC (rev 5400)
+++ trunk/matplotlib/examples/api/collections_demo.py	2008-06-05 16:17:57 UTC (rev 5401)
@@ -86,7 +86,7 @@
 
 a = fig.add_subplot(2,2,3)
 
-col = collections.RegularPolyCollection(fig.dpi, 7,
+col = collections.RegularPolyCollection(7,
                                         sizes = N.fabs(xx)*10.0, offsets=xyo,
                                         transOffset=a.transData)
 trans = transforms.Affine2D().scale(fig.dpi/72.0)


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