João Luís Silva wrote:
> Hello all,
>
> I'm creating a python application what does some calculation and
> displays the result as two imshow() with respective colorbars as the
> calculation progresses. Each array is ~8192x50. Updating the image is
> slow, so I only update every 2 seconds or so, but even doing this a
> significant part of the program's time is spent on Colormap.__call__ of
> colors.py. Another significant time sink is motion_notify_event of
> backend_gtk.py. A small example follows to illustrate the problem. Any
> ideia on how to circunvent or correct this?
Some time in the last year I made changes in mpl and in numpy to speed
this up (the colormapping). What versions of mpl and numpy are you using?
Eric
>
> Thank you,
> João Luís Silva
>
> ----------------------------------------
>
> import numpy as np
> from numpy.random import rand
> import pygtk
> pygtk.require('2.0')
> import gtk
> import matplotlib
> matplotlib.use('GTKAgg')
> from matplotlib.backends.backend_gtkagg import FigureCanvasGTKAgg as
> FigureCanvas
> from matplotlib.figure import Figure
>
> def main():
> N = 2000
>
> win = gtk.Window()
> vbox = gtk.VBox()
> fig = Figure()
> ax = fig.add_subplot(111)
> canvas = FigureCanvas(fig)
> im =
> ax.imshow(rand(N,N),origin='lower',aspect='auto',extent=(0.0,1.0,0.0,1.0),interpolation='bilinear')
> cb = fig.colorbar(im)
> vbox.pack_start(canvas)
> win.add(vbox)
> win.connect("destroy", lambda x: gtk.main_quit())
> win.show_all()
> gtk.main()
>
> if __name__ == '__main__':
> #Use hotshot2calltree and kcachegrind to see the stats
> import hotshot
> prof = hotshot.Profile("hotshot_stats")
> prof.runcall(main)
> prof.close()
>
>
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