Revision: 8724
          http://matplotlib.svn.sourceforge.net/matplotlib/?rev=8724&view=rev
Author:   efiring
Date:     2010-10-03 21:04:10 +0000 (Sun, 03 Oct 2010)

Log Message:
-----------
errorbar bugfix: plot everything regardless of the Axes hold state

Modified Paths:
--------------
    branches/v1_0_maint/lib/matplotlib/axes.py

Modified: branches/v1_0_maint/lib/matplotlib/axes.py
===================================================================
--- branches/v1_0_maint/lib/matplotlib/axes.py  2010-10-03 20:45:38 UTC (rev 
8723)
+++ branches/v1_0_maint/lib/matplotlib/axes.py  2010-10-03 21:04:10 UTC (rev 
8724)
@@ -5065,7 +5065,7 @@
             type as *xerr* and *yerr*.
 
         All other keyword arguments are passed on to the plot command for the
-        markers, For example, this code makes big red squares with
+        markers. For example, this code makes big red squares with
         thick green edges::
 
           x,y,yerr = rand(3,10)
@@ -5099,6 +5099,8 @@
 
         self._process_unit_info(xdata=x, ydata=y, kwargs=kwargs)
         if not self._hold: self.cla()
+        holdstate = self._hold
+        self._hold = True
 
         # make sure all the args are iterable; use lists not arrays to
         # preserve units
@@ -5271,6 +5273,7 @@
             l.set_color(ecolor)
 
         self.autoscale_view()
+        self._hold = holdstate
         return (l0, caplines, barcols)
 
     def boxplot(self, x, notch=0, sym='b+', vert=1, whis=1.5,


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

------------------------------------------------------------------------------
Virtualization is moving to the mainstream and overtaking non-virtualized
environment for deploying applications. Does it make network security 
easier or more difficult to achieve? Read this whitepaper to separate the 
two and get a better understanding.
http://p.sf.net/sfu/hp-phase2-d2d
_______________________________________________
Matplotlib-checkins mailing list
Matplotlib-checkins@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-checkins

Reply via email to