Not sure if this will help, but maybe you can do something like this? --- #!/usr/bin/env python
from pylab import * from scipy import * img = standard_normal((40,40)) image = imshow(img,interpolation='nearest',animated=True,label="blah") for k in range(1,10000): img = standard_normal((40,40)) image.set_data(img) show() --- Note, interpolation='nearest' can be faster than interpolation=None if your default interpolation is set to bicubic (which it probably is) Does this speed things up? Thomas On May 1, 2009, at 3:31 PM, Joey Wilson wrote: > I am creating a script that generates images and displays them to > the screen in real time. I created the following simple script: > > __________________________ > > #!/usr/bin/env python > > from pylab import * > from scipy import * > > for k in range(1,10000): > img = standard_normal((40,40)) > imshow(img,interpolation=None,animated=True,label="blah") > clf() > show() > > __________________________ > > Now, this script plots the image too slowly. I am forced to use > the clf() function so that it doesn't slow down at each iteration of > the for loop. Is there a way that I can plot this simple image > faster? What's the best way to get imshow() to plot quickly? > Thanks for your help. > > -Joey > > ------------------------------------------------------------------------------ > Register Now & Save for Velocity, the Web Performance & Operations > Conference from O'Reilly Media. Velocity features a full day of > expert-led, hands-on workshops and two days of sessions from industry > leaders in dedicated Performance & Operations tracks. Use code > vel09scf > and Save an extra 15% before 5/3. > http://p.sf.net/sfu/velocityconf_______________________________________________ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users ------------------------------------------------------------------------------ Register Now & Save for Velocity, the Web Performance & Operations Conference from O'Reilly Media. Velocity features a full day of expert-led, hands-on workshops and two days of sessions from industry leaders in dedicated Performance & Operations tracks. Use code vel09scf and Save an extra 15% before 5/3. http://p.sf.net/sfu/velocityconf _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users