Nevermind.  I'm an idiot.  I removed the call to update_line() before p.show()
and now it works.  That was cruft left over from earlier experiments
Cheers,
Greg

On 7/24/07, Greg Willden <[EMAIL PROTECTED]> wrote:

Hello All,
I'm looking for the most efficient way to perform 2D plot animations.

I've been experimenting with the animation examples from the Matplotlib
cookbook.  More specifically I'm using a version of "Animating selected plot
elements"  that has been modified to work with wxWidgets.  I want to do the
same type of thing but with 2D plots ( i.e. imshow).


When I try  ax.draw_artist(im) where "im" is the AxesImage returned from
the initial call to imshow I get an AssertionError for self._cachedRenderer
is not None.


What am I doing wrong?
Thanks
Greg


Here is my hacked up version of the example.
<code>
# The number of blits() to make before exiting
NBLITS = 1000

import matplotlib
matplotlib.use('WXAgg')
matplotlib.rcParams['toolbar'] = None

import wx
import sys
import pylab as p
import matplotlib.numerix as nx
import time

# allow the user to disable the WXAgg accelerator from the command line
if '--no-accel' in sys.argv:
    import matplotlib.backends.backend_wxagg
    matplotlib.backends.backend_wxagg._use_accelerator(False)

ax = p.subplot(111)
canvas = ax.figure.canvas

p.subplots_adjust (left=0.3, bottom=0.3) # check for flipy bugs
p.grid() # to ensure proper background restore

# create the initial line
appx = 10.0
appy = 3.8
delta = 0.125
x = p.arange(-appx/2.0, appx/2.0, delta)
y = p.arange(-appy/2.0, appy/2.0, delta)
X, Y = p.meshgrid(x, y)
#     bivariate_normal(X, Y,sigmax,sigmay,mux,muy)
Z = p.bivariate_normal(X, Y, 0.9, 0.7, 4.1, -0.15)

im = p.imshow(Z,cmap=p.cm.hot)

# for profiling
tstart = time.time()
blit_time = 0.0

def update_line(*args):
    global blit_time

    if update_line.background is None:
        update_line.background = canvas.copy_from_bbox(ax.bbox )

    # restore the clean slate background
    canvas.restore_region(update_line.background)
    # update the data
    im.set_data(p.bivariate_normal(X,Y,
                                   0.9,0.7,
                                   4.1+p.sin(update_line.cnt/20.0),
                                   -0.15+p.cos(update_line.cnt/10.0)))
    # just draw the animated artist
    ax.draw_artist(im)
    # just redraw the axes rectangle

    t = time.time()
    canvas.blit(ax.bbox)
    blit_time += time.time() - t

    if update_line.cnt == NBLITS:
        # print the timing info and quit
        frame_time = time.time() - tstart
        print '%d frames: %.2f seconds' % (NBLITS, frame_time)
        print '%d blits:  %.2f seconds' % (NBLITS, blit_time)
        print
        print 'FPS: %.2f' % (NBLITS/frame_time)
        if blit_time > 0:
            print 'BPS: %.2f' % (NBLITS/blit_time)
        global timer
        timer.Stop()

    update_line.cnt += 1



update_line.cnt = 0
update_line.background = None
TIMER_ID=100
panel = wx.GetApp()
global timer
timer = wx.Timer(panel,TIMER_ID)
timer.Start(10)
wx.EVT_TIMER(panel,TIMER_ID, update_line)
update_line()
p.show()

</code>
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