Thomas Robitaille wrote: > Not sure if this will help, but maybe you can do something like this? > > --- > #!/usr/bin/env python > > from pylab import * > from scipy import *
To run this as a standalone script, without ipython -pylab, you need to include: ion() > > 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() show() should never be called more than once for a given figure; what you want here is draw(). Eric > --- > > 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 ------------------------------------------------------------------------------ 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
