Re: [Numpy-discussion] OptimizationDemo [was: Numpy subversion compatibility with Scipy release? ]

[Mark H. <ma...@mi...>]

Robert Kern wrote:
>
> The latest SVN revisions should match (it's a bug, otherwise). numpy 2761 is 
> recent enough that an SVN checkout of scipy will probably be fine.
>   
Yes SVN scipy/numpy fix the problem. Sorry, I missed Travis's post on 
scipy-user here:
http://projects.scipy.org/pipermail/scipy-user/2006-June/008438.html
to that effect.

I should just get specific: I was simply trying to run the basic 
optimization demo on the front page of the wiki as check on SVN 
(http://www.scipy.org/Cookbook/OptimizationDemo1) and it appears SVN 
scipy/numpy breaks matplotlib -0.87.2-1 (fc5) in the demo. Do I need SVN 
matplotlib as well?

Mark

 From the Opt. Demo:
> In [1]: from scipy import arange, special, optimize
> In [2]: x = arange(0,10,0.01)
> In [4]: for k in arange(0.5,5.5):
> ...: y = special.jv(k,x)
> ...: plot(x,y)
> ...:
> ---------------------------------------------------------------------------
> exceptions.ZeroDivisionError Traceback (most recent call
... ...
> /usr/lib/python2.4/site-packages/matplotlib/ticker.py in 
> bin_boundaries(self, vmin, vmax)
> 766 def bin_boundaries(self, vmin, vmax):
> 767 nbins = self._nbins
> --> 768 scale, offset = scale_range(vmin, vmax, nbins)
> 769 vmin -= offset
> 770 vmax -= offset
>
> /usr/lib/python2.4/site-packages/matplotlib/ticker.py in 
> scale_range(vmin, vmax, n, threshold)
> 731 dv = abs(vmax - vmin)
> 732 meanv = 0.5*(vmax+vmin)
> --> 733 var = dv/max(abs(vmin), abs(vmax))
> 734 if var < 1e-12:
> 735 return 1.0, 0.0
>
> ZeroDivisionError: float division