Numpy 1.0.3 and MPL 0.91.2. The image array is 256 x 1024. I found I could speed things up a lot (~15ms update time) by setting my data to be a 256 x 1024 x 4 array of uint8, so I guess the solution is to handle color mapping myself. I appreciate any other suggestions. Glenn
On 4/15/08, Eric Firing <[EMAIL PROTECTED]> wrote: > Glenn, > > What version of numpy are you using? What version of matplotlib? And what > are the dimensions of your image array? > > Eric > > > G Jones wrote: > > > Thank you for the suggestion. > > I now have the update time down to about 70 ms. > > When I run the code through the profiler, I see that each plot update > > requires a call to matplotlib.colors.Colormap.__call__, > and each of > > these calls takes 52 ms, 48 ms of which is spent inside the function > > itself. This looks like it is the bulk of the delay, so if I can > > optimize the Colormap.__call__ function, the performance should be > > much improved. Unfortunately I cannot seem to get finer grained > > information about what exactly is taking so long inside this function. > > Can anyone provide any hints? > > Thanks, > > Glenn > > > > On Sat, Apr 12, 2008 at 7:02 PM, hjc520070 <[EMAIL PROTECTED]> wrote: > > > > > I just use blit on imshow map, and work properly. Maybe the following > code > > > will help you. > > > > > > def ontimer() > > > canvas.restore_region(background) > > > im.set_array(Z) > > > ax.draw_artist(self.imList[i]) > > > canvas.blit(ax.bbox) > > > canvas.gui_repaint() > > > -- > > > View this message in context: > http://www.nabble.com/speeding-up-imshow-tp16623430p16656693.html > > > Sent from the matplotlib - users mailing list archive at Nabble.com. > > > > > > ------------------------------------------------------------------------- This SF.net email is sponsored by the 2008 JavaOne(SM) Conference Don't miss this year's exciting event. There's still time to save $100. Use priority code J8TL2D2. http://ad.doubleclick.net/clk;198757673;13503038;p?http://java.sun.com/javaone _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
