Xavier Gnata wrote:
> 
> Hi,
> 
> Quoting  matplotlib/__init__.py :
> 
> def checkdep_ghostscript():
>     try:
>         if sys.platform == 'win32':
>             command = 'gswin32c -v'
>         else:
>             command = 'gs -v'
>         stdin, stdout = os.popen4(command)
>         line = stdout.readlines()[0]
>         v = line.split()[2]
>         vtest = '.'.join(v.split('.')[:2]) # deal with version numbers 
> like '7.07.1'
>         float(vtest)
>         return vtest
>     except (IndexError, ValueError):
>         return None
> 
> It fails on debian sid because 'gs -v' returns "GPL Ghostscript SVN 
> PRE-RELEASE 8.61 (2007-08-02)\n"
> 
> Anyway, the parser will be ugly because it has to deal with version 
> numbers like '7.07.1'.
> Should I propose a trivial patch to get thinks working on debian sid ?
> 
> Xavier
> ps :Why is there no standard way (like -v or --version) on *unix to get 
> the version *number*?? Only the version number. Why :(
> 
> -- 
> ############################################
> Xavier Gnata
> CRAL - Observatoire de Lyon
> 9, avenue Charles André
> 69561 Saint Genis Laval cedex
> Phone: +33 4 78 86 85 28
> Fax: +33 4 78 86 83 86
> E-mail: [EMAIL PROTECTED]
> ############################################ 
> 
> 
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> 

Yeah , I did face the same problem . My code is following: 
There seems to be something wrong in "ax.imshow(im)", I can't get the answer
, Can sb help me . 
The error message"ValueError: need more than 0 values to unpack"
Thank you .

# -*- coding:gb2312 -*- 
import wx
from pylab import *
from matplotlib.backends.backend_wx import FigureCanvasWx
from matplotlib.figure import Figure
from matplotlib.axes import *
from numpy import *

#-------------------------------------------------------------
x=array(range(0,100))
y=array(range(0,100))
z=rand(100,100)
figure(1)
im=imshow(z, interpolation='bilinear', origin='lower',cmap=cm.gray,
extent=(0,100,0,100))
levels = arange(0.3, 0.4, 0.9)
contour(x,y,z,levels,origin='lower',linewidths=2,extent=(0,100,0,100))


fig=figure(2)
ax = fig.add_subplot(111)
ax.imshow(im)
ax.set_xlim(0,3)
ax.set_ylim(0,2)
show()






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