Robert Cimrman wrote: > Hi Ryan, > > Ryan May wrote: >> On Thu, Apr 23, 2009 at 4:16 PM, Esmail <ebo...@hotmail.com> wrote: >> >>> Ryan May wrote: >>>> Try this: >>>> >>>> >>> http://matplotlib.sourceforge.net/examples/animation/simple_anim_gtk.html >>>> (If not gtk, there are other examples there.) >>> Thanks Ryan, that'll give me some idea with regard to the animation, >>> and real-time drawings. >>> >>> Any idea if it's possible to finish a Python program but still have the >>> graph showing? >>> >>> FWIW, I'm doing this under Linux. >>> >> You'd have to run the plotting in a separate process from the computation. >> subprocess would let you do that, assuming you can spin off a child task >> that stays alive when the parent exits. You'd also need to get the >> computing process to give new results to the child plot, maybe using a pipe >> (which I think subprocess can handle as well.) > > This is exactly what I have tried/described in [1], using the > multiprocessing module. It sort of works, but I have that hanging > problem at the end - maybe somebody jumps in and helps this time :) > > r. > > [1] > http://www.mail-archive.com/matplotlib-users@lists.sourceforge.net/msg10873.html
Just for the record: Ryan May's example in this thread, that uses pipes, inspired me to try pipes as well, instead of queues (multiprocessing.Pipe instead of Queue) and the "hanging problem", i.e. the problem that Ctrl-C interrupted the program, but it had to be killed to stop, disappeared. I can fix the script that I sent in message [1] and provide it, if there is interest. (Currently I have fixed only the version that is within sfepy). thanks! r. [1] [Matplotlib-users] plotting in a separate process, 31.03.2009 ------------------------------------------------------------------------------ The NEW KODAK i700 Series Scanners deliver under ANY circumstances! Your production scanning environment may not be a perfect world - but thanks to Kodak, there's a perfect scanner to get the job done! With the NEW KODAK i700 Series Scanner you'll get full speed at 300 dpi even with all image processing features enabled. http://p.sf.net/sfu/kodak-com _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
