On Mon, Apr 27, 2009 at 2:28 PM, keflavich <keflav...@gmail.com> wrote:
>
>
> John Hunter-4 wrote:
> >
> > That does sound exceedingly slow -- it looks like you are having some
> > problems with the GUI or environment and not just the mpl component. How
> > are you running and profiling your script? Can you post some
> > free-standing
> > example code which exposes the problem? Can you provide some of the
> > environment data detailed at
> >
> http://matplotlib.sourceforge.net/faq/troubleshooting_faq.html#reporting-problems
> >
>
> I haven't been doing any profiling; I've never been particularly
> comfortable
> with timeit.
>
> As for normal problem reporting details...
> Darwin eta.colorado.edu 9.6.3 Darwin Kernel Version 9.6.3: Tue Jan 20
> 18:26:40 PST 2009; root:xnu-1228.10.33~1/RELEASE_I386 i386 i386
> matplotlib version 0.98.3
>
>
> My example standalone script (note that it takes the backend as a command
> line argument and assumes you have not selected a backend / imported
> pylab):
>
> import matplotlib
> import sys
> matplotlib.use(sys.argv[1])
> from pylab import *
>
> i=1; n=1;
> print "Working on figure 0"
> figure(0); clf()
> for j in xrange(36):
> if (i % 10)==0:
> print "Working on figure %i" % n
> figure(n); clf()
> i=1
> n+=1
> subplot(3,3,i)
> plot([1,2,3],[3,2,1])
> plot([1,2,1],[1,2,3])
> plot([1,2,3],[1,2,3])
> i+=1
>
>
> Results:
>
> In [1]: %run -t code/test.py 'Qt4Agg'
Ahh, mixing matplotlib.use from an interactive ipython session -- that is an
important detail :-) What is your backend (import matplotlib; print
matplotlib.rcParams['backend']) It is quite likely that you are getting
cross GUI / cross threading problems from trying to do this inside ipython,
which may be using one GUI backend based on rc at pylab startup, and mpl is
trying to use another one with the use directive. Basically, "use" is not
supported for switching GUIs, it was designed to be the first line executed
in a session but when you do this interactively in ipython pylab mode, you
are asking for a world of pain.
Try running your example from a standard unix shell rather than from ipython
JDH
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