Re: [Matplotlib-users] Interactive backends very (suprisingly?) slow for multiple subplots

[keflavich <kef...@gm...>]

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'

backend Qt4Agg version 0.9.1

IPython CPU timings (estimated):
  User  :  21.553853 s.
  System:        0.0 s.

In [1]: %run -t code/test.py 'pdf'

backend pdf version unknown

IPython CPU timings (estimated):
  User  :   1.056959 s.
  System:        0.0 s.

In [1]: %run -t code/test.py 'svg'
backend svg version 0.98.5.2

IPython CPU timings (estimated):
  User  :   1.056702 s.
  System:        0.0 s.


Curiously, if I add ioff() at the beginning of the script using the Qt4Agg
backend, I get the much nicer result:
  User  :   1.328496 s.

and show works quite rapidly.  This suggests to me that the placement of
ioff() is important, so I'm going to try playing with that a little...

Adam
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