Revision: 6309
          http://matplotlib.svn.sourceforge.net/matplotlib/?rev=6309&view=rev
Author:   jdh2358
Date:     2008-10-23 16:10:59 +0000 (Thu, 23 Oct 2008)

Log Message:
-----------
fixed pyplot tutorial error

Modified Paths:
--------------
    trunk/matplotlib/doc/_templates/gallery.html
    trunk/matplotlib/doc/devel/documenting_mpl.rst
    trunk/matplotlib/doc/faq/howto_faq.rst
    trunk/matplotlib/doc/users/pyplot_tutorial.rst

Modified: trunk/matplotlib/doc/_templates/gallery.html
===================================================================
--- trunk/matplotlib/doc/_templates/gallery.html        2008-10-23 15:46:27 UTC 
(rev 6308)
+++ trunk/matplotlib/doc/_templates/gallery.html        2008-10-23 16:10:59 UTC 
(rev 6309)
@@ -5,7 +5,7 @@
 {% block body %}
 
 <h3>Click on any image to see full size image and source code</h3>
-<br>
+<br/>
 
 <a href="examples/api/barchart_demo.html"><img 
src="_static/plot_directive/mpl_examples/api/thumbnails/barchart_demo.png" 
border="0" alt="barchart_demo"/></a>
 

Modified: trunk/matplotlib/doc/devel/documenting_mpl.rst
===================================================================
--- trunk/matplotlib/doc/devel/documenting_mpl.rst      2008-10-23 15:46:27 UTC 
(rev 6308)
+++ trunk/matplotlib/doc/devel/documenting_mpl.rst      2008-10-23 16:10:59 UTC 
(rev 6309)
@@ -8,9 +8,8 @@
 ===============
 
 The documentation for matplotlib is generated from ReStructured Text
-using the Sphinx_ documentation generation tool. Sphinx-0.4 or later
-is required. Currently this means we need to install from the svn
-repository by doing::
+using the Sphinx_ documentation generation tool. Sphinx-0.5 or later
+is required. Most developers work from the sphinx subversion repository 
because it is a rapidly evolving project::
 
   svn co http://svn.python.org/projects/doctools/trunk sphinx
   cd sphinx

Modified: trunk/matplotlib/doc/faq/howto_faq.rst
===================================================================
--- trunk/matplotlib/doc/faq/howto_faq.rst      2008-10-23 15:46:27 UTC (rev 
6308)
+++ trunk/matplotlib/doc/faq/howto_faq.rst      2008-10-23 16:10:59 UTC (rev 
6309)
@@ -332,14 +332,13 @@
 which is part of the `mplayer <http://www.mplayerhq.hu>`_ suite
 for this::
 
-
     #fps (frames per second) controls the play speed
     mencoder 'mf://*.png' -mf type=png:fps=10 -ovc \\
        lavc -lavcopts vcodec=wmv2 -oac copy -o animation.avi
 
 The swiss army knife of image tools, ImageMagick's `convert
 <http://www.imagemagick.org/script/convert.php>`_ works for this as
-well.<p>
+well.
 
 Here is a simple example script that saves some PNGs, makes them into
 a movie, and then cleans up::
@@ -617,7 +616,15 @@
     import sys
     fig.savefig(sys.stdout)
 
+Here is an example using the Python Imaging Library PIL.  First the figure is 
saved to a StringIO objectm which is then fed to PIL for further processing::
 
+    import StringIO, Image
+    imgdata = StringIO.StringIO()
+    fig.savefig(imgdata, format='png')
+    imgdata.seek(0)  # rewind the data
+    im = Image.open(imgdata)
+
+
 matplotlib with apache
 ------------------------------------
 

Modified: trunk/matplotlib/doc/users/pyplot_tutorial.rst
===================================================================
--- trunk/matplotlib/doc/users/pyplot_tutorial.rst      2008-10-23 15:46:27 UTC 
(rev 6308)
+++ trunk/matplotlib/doc/users/pyplot_tutorial.rst      2008-10-23 16:10:59 UTC 
(rev 6309)
@@ -15,13 +15,13 @@
 .. plot:: pyplots/pyplot_simple.py
    :include-source:
 
-You may be wondering why the x-axis ranges from 0-3 and the y-axis
-from 1-4.  If you provide a single list or array to the
+You may be wondering why the x-axis ranges from 0-2 and the y-axis
+from 1-3.  If you provide a single list or array to the
 :func:`~matplotlib.pyplot.plot` command, matplotlib assumes it a
 sequence of y values, and automatically generates the x values for
 you.  Since python ranges start with 0, the default x vector has the
 same length as y but starts with 0.  Hence the x data are
-``[0,1,2,3]``.
+``[0,1,2]``.
 
 :func:`~matplotlib.pyplot.plot` is a versatile command, and will take
 an arbitrary number of arguments.  For example, to plot x versus y,


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