I took out a wristwatch and timed it instead of guessing. I

> get three frames per second. It's about 4x from where we

> started, but still slow. I guess I'm just underpowered,

> although a couple of years ago this was a powerhouse. It

> seems that matplotlib may not be suited to this task. I

> don't think it should take 2 GHz just to power a stripchart.

One more comment here, mainly for Todd.

Todd, I get 34 FPS on anim.py with GTKAgg and only 21 FPS with the

anim_tk.py, where both scripts are doing the same thing. The profiler

reveals a good chunk of the time is in

103 2.300 0.022 2.300 0.022 tkagg.py:4(blit)

This may be a tk limitation, but I just wanted to point it out to you

in case there are any optimizations you can apply to that function.

I'll include the anim_tk.py I'm using for profiling below.

Cheers,

JDH

#!/usr/bin/env python2.3

import matplotlib

matplotlib.use('TkAgg')

import matplotlib.matlab

import Tkinter as Tk

import matplotlib.numerix as numerix

fig = matplotlib.matlab.figure(1)

ind = numerix.arange(60)

x_tmp=[]

for i in range(100):

x_tmp.append(numerix.sin((ind+i)*numerix.pi/15.0))

X=numerix.array(x_tmp)

lines = matplotlib.matlab.plot(X[:,0],'o')

manager = matplotlib.matlab.get_current_fig_manager()

def updatefig(*args):

updatefig.count += 1

lines[0].set_ydata(X[:,updatefig.count%60])

manager.canvas.draw()

return updatefig.count

updatefig.count=-1

manager.show()

import time

tstart = time.time()

while 1:

cnt = updatefig()

if cnt==100: break

print 'FPS', 100.0/(time.time() - tstart)