SF.net SVN: matplotlib:[7792] branches/v0_99_maint/lib/matplotlib/axes.py

[efiring]

Revision: 7792
          http://matplotlib.svn.sourceforge.net/matplotlib/?rev=7792&view=rev
Author:   efiring
Date:     2009-09-19 23:46:06 +0000 (Sat, 19 Sep 2009)

Log Message:
-----------
Fix bug in bar affecting autoscaling with log axis

Modified Paths:
--------------
    branches/v0_99_maint/lib/matplotlib/axes.py

Modified: branches/v0_99_maint/lib/matplotlib/axes.py
===================================================================
--- branches/v0_99_maint/lib/matplotlib/axes.py 2009-09-19 06:32:38 UTC (rev 
7791)
+++ branches/v0_99_maint/lib/matplotlib/axes.py 2009-09-19 23:46:06 UTC (rev 
7792)
@@ -204,7 +204,7 @@
             bx = self.axes.xaxis.update_units(x)
             by = self.axes.yaxis.update_units(y)
 
-           if self.command!='plot':
+            if self.command!='plot':
                 # the Line2D class can handle unitized data, with
                 # support for post hoc unit changes etc.  Other mpl
                 # artists, eg Polygon which _process_plot_var_args
@@ -4213,13 +4213,6 @@
         else:
             raise ValueError, 'invalid orientation: %s' % orientation
 
-
-        # do not convert to array here as unit info is lost
-        #left = np.asarray(left)
-        #height = np.asarray(height)
-        #width = np.asarray(width)
-        #bottom = np.asarray(bottom)
-
         if len(linewidth) < nbars:
             linewidth *= nbars
 
@@ -4334,7 +4327,7 @@
 
         if adjust_xlim:
             xmin, xmax = self.dataLim.intervalx
-            xmin = np.amin(width[width!=0]) # filter out the 0 width rects
+            xmin = np.amin([w for w in width if w > 0])
             if xerr is not None:
                 xmin = xmin - np.amax(xerr)
             xmin = max(xmin*0.9, 1e-100)
@@ -4342,7 +4335,7 @@
 
         if adjust_ylim:
             ymin, ymax = self.dataLim.intervaly
-            ymin = np.amin(height[height!=0]) # filter out the 0 height rects
+            ymin = np.amin([h for h in height if h > 0])
             if yerr is not None:
                 ymin = ymin - np.amax(yerr)
             ymin = max(ymin*0.9, 1e-100)


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