SF.net SVN: matplotlib:[6278] trunk/matplotlib

Revision: 6278
          http://matplotlib.svn.sourceforge.net/matplotlib/?rev=6278&view=rev
Author:   jdh2358
Date:     2008-10-19 19:52:38 +0000 (Sun, 19 Oct 2008)

Log Message:
-----------
fixed np clip bug and some other cleanup

Modified Paths:
--------------
    trunk/matplotlib/doc/sphinxext/plot_directive.py
    trunk/matplotlib/examples/animation/simple_anim_tkagg.py
    trunk/matplotlib/examples/pylab_examples/masked_demo.py
    trunk/matplotlib/lib/matplotlib/colors.py

Modified: trunk/matplotlib/doc/sphinxext/plot_directive.py
===================================================================
--- trunk/matplotlib/doc/sphinxext/plot_directive.py	2008-10-19 09:35:03 UTC (rev 6277)
+++ trunk/matplotlib/doc/sphinxext/plot_directive.py	2008-10-19 19:52:38 UTC (rev 6278)
@@ -24,7 +24,7 @@
     align = Image.align
 
 import matplotlib
-
+import matplotlib.cbook as cbook
 matplotlib.use('Agg')
 import matplotlib.pyplot as plt
 from matplotlib import _pylab_helpers
@@ -148,7 +148,8 @@
     try:
         runfile(fullpath)
     except:
-        warnings.warn("Exception running plot %s" % fullpath)
+	s = cbook.exception_to_str("Exception running plot %s" % fullpath)
+        warnings.warn(s)
         return 0
 
     fig_managers = _pylab_helpers.Gcf.get_all_fig_managers()
@@ -162,7 +163,8 @@
             try:
                 figman.canvas.figure.savefig(outpath, dpi=dpi)
             except:
-                warnings.warn("Exception running plot %s" % fullpath)
+                s = cbook.exception_to_str("Exception running plot %s" % fullpath)
+                warnings.warn(s)
                 return 0
 
     return len(fig_managers)
@@ -171,7 +173,7 @@
     reference = directives.uri(arguments[0])
     basedir, fname = os.path.split(reference)
     basename, ext = os.path.splitext(fname)
-
+    #print 'plotdir', reference, basename, ext
     destdir = ('../' * reference.count('/')) + 'pyplots'
     num_figs = makefig(reference, 'pyplots')
 

Modified: trunk/matplotlib/examples/animation/simple_anim_tkagg.py
===================================================================
--- trunk/matplotlib/examples/animation/simple_anim_tkagg.py	2008-10-19 09:35:03 UTC (rev 6277)
+++ trunk/matplotlib/examples/animation/simple_anim_tkagg.py	2008-10-19 19:52:38 UTC (rev 6278)
@@ -2,6 +2,8 @@
 """
 A simple example of an animated plot in tkagg
 """
+import time
+import numpy as np
 import matplotlib
 matplotlib.use('TkAgg') # do this before importing pylab
 

Modified: trunk/matplotlib/examples/pylab_examples/masked_demo.py
===================================================================
--- trunk/matplotlib/examples/pylab_examples/masked_demo.py	2008-10-19 09:35:03 UTC (rev 6277)
+++ trunk/matplotlib/examples/pylab_examples/masked_demo.py	2008-10-19 19:52:38 UTC (rev 6278)
@@ -1,4 +1,4 @@
-#!/bin/env python
+#!/usr/bin/env python
 '''
 Plot lines with points masked out.
 

Modified: trunk/matplotlib/lib/matplotlib/colors.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/colors.py	2008-10-19 09:35:03 UTC (rev 6277)
+++ trunk/matplotlib/lib/matplotlib/colors.py	2008-10-19 19:52:38 UTC (rev 6278)
@@ -38,6 +38,11 @@
 from numpy import ma
 import matplotlib.cbook as cbook
 
+parts = np.__version__.split('.')
+NP_MAJOR, NP_MINOR = map(int, parts[:2])
+# true if clip supports the out kwarg
+NP_CLIP_OUT = NP_MAJOR>=1 and NP_MINOR>=2
+
 cnames = {
     'aliceblue'            : '#F0F8FF',
     'antiquewhite'         : '#FAEBD7',
@@ -457,7 +462,11 @@
             np.putmask(xa, xa==1.0, 0.9999999) #Treat 1.0 as slightly less than 1.
             # The following clip is fast, and prevents possible
             # conversion of large positive values to negative integers.
-            np.clip(xa * self.N, -1, self.N, out=xa)
+
+            if NP_CLIP_OUT:
+                np.clip(xa * self.N, -1, self.N, out=xa)
+            else:
+                xa = np.clip(xa * self.N, -1, self.N)
             xa = xa.astype(int)
         # Set the over-range indices before the under-range;
         # otherwise the under-range values get converted to over-range.


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