Revision: 7093
          http://matplotlib.svn.sourceforge.net/matplotlib/?rev=7093&view=rev
Author:   leejjoon
Date:     2009-05-07 04:09:12 +0000 (Thu, 07 May 2009)

Log Message:
-----------
spelling corrections in legend-guide

Modified Paths:
--------------
    trunk/matplotlib/doc/users/plotting/legend.rst

Modified: trunk/matplotlib/doc/users/plotting/legend.rst
===================================================================
--- trunk/matplotlib/doc/users/plotting/legend.rst      2009-05-07 03:59:28 UTC 
(rev 7092)
+++ trunk/matplotlib/doc/users/plotting/legend.rst      2009-05-07 04:09:12 UTC 
(rev 7093)
@@ -20,7 +20,7 @@
 len(args) is 0, it automatically generate the legend from label
 properties of the child artists by calling
 :meth:`~matplotlib.axes.Axes.get_legend_handles_labels` method. 
-For example, *ax.legend()* is equivalaent to::
+For example, *ax.legend()* is equivalent to::
 
   handles, labels = ax.get_legend_handles_labels()
   ax.legend(handles, labels)
@@ -53,7 +53,7 @@
  * Remember that some *pyplot* commands return artist not supported by
    legend, e.g., :func:`~matplotlib.pyplot.fill_between` returns
    :class:`~matplotlib.collections.PolyCollection` that is not
-   supported. Or some return mupltiple artists. For example,
+   supported. Or some return multiple artists. For example,
    :func:`~matplotlib.pyplot.plot` returns list of
    :class:`~matplotlib.lines.Line2D` instances, and
    :func:`~matplotlib.pyplot.errorbar` returns a length 3 tuple of
@@ -68,7 +68,8 @@
 
 When you want to customize the list of artists to be displayed in the
 legend, or their order of appearance. There are a two options. First,
-you can keep lists of artists and labels, and explicitly use these for the 
first two argument of the legend call.::
+you can keep lists of artists and labels, and explicitly use these for
+the first two argument of the legend call.::
 
   p1, = plot([1,2,3])
   p2, = plot([3,2,1])


This was sent by the SourceForge.net collaborative development platform, the 
world's largest Open Source development site.

------------------------------------------------------------------------------
The NEW KODAK i700 Series Scanners deliver under ANY circumstances! Your
production scanning environment may not be a perfect world - but thanks to
Kodak, there's a perfect scanner to get the job done! With the NEW KODAK i700
Series Scanner you'll get full speed at 300 dpi even with all image 
processing features enabled. http://p.sf.net/sfu/kodak-com
_______________________________________________
Matplotlib-checkins mailing list
[email protected]
https://lists.sourceforge.net/lists/listinfo/matplotlib-checkins

Reply via email to