Jae-Joon Lee wrote: > Is there any particular reason that you have to use pcolor? > None whatsoever; it is simply what I first encountered in an example. > My understanding is that the imshow is the fastest. > Also, pcolormesh is much faster than pcolor if you use agg backend. > Your script runs in a second on my linux box if I replace pcolor with > pcolormesh. > I saw pcolormesh() documented but did not understand its significance. I struggle to understand all of the matplotlib variants.
Substituting pcolormesh() for pcolor(), my script now also runs in under a second on my Microsoft box -- an amazing difference! Thanks very much for your quick response! -- jv > -JJ > > > On Mon, Apr 13, 2009 at 10:54 AM, Jim Vickroy <jim.vick...@noaa.gov> wrote: > >> Hello all, >> >> I am a matplotlib novice so I expect I am doing something inappropriate. >> >> >From the attached script (matplotlib-slow.py), it will be seen that I am >> creating a 512x512 (numpy) array and using matplotlib to plot it. >> >> Below is the script output on my Microsoft Windows XP (service pack 3) box: >> >> <session> >> >>> matplotlib-slow.py >>> >> [2009-04-13 08:40:34] [DEBUG ] [line # 23] Python version: 2.5.4 >> (r254:67916, Dec 23 2008, 15:10:54) [MSC v.1310 32 bit (Intel)] >> [2009-04-13 08:40:34] [DEBUG ] [line # 24] numpy version: 1.2.1 >> [2009-04-13 08:40:34] [DEBUG ] [line # 25] matplotlib version: 0.98.5.2 >> [2009-04-13 08:40:34] [DEBUG ] [line # 37] executing >> matplotlib.pyplot.subplot() >> [2009-04-13 08:40:34] [DEBUG ] [line # 39] executing >> matplotlib.pyplot.pcolor() >> [2009-04-13 08:41:12] [DEBUG ] [line # 41] executing >> matplotlib.pyplot.colorbar() >> [2009-04-13 08:41:12] [DEBUG ] [line # 45] executing >> matplotlib.pyplot.savefig() >> [2009-04-13 08:41:35] [DEBUG ] [line # 47] executing >> matplotlib.pyplot.close() >> </session> >> >> Note, the call to pcolor() and savefig() consume 38 and 13 seconds >> respectively. My goal is to dramatically reduce these times (1 second or >> less). >> >> I would appreciate your suggestions. >> >> Thanks, >> -- jv >> >> ------------------------------------------------------------------------------ >> This SF.net email is sponsored by: >> High Quality Requirements in a Collaborative Environment. >> Download a free trial of Rational Requirements Composer Now! >> http://p.sf.net/sfu/www-ibm-com >> _______________________________________________ >> Matplotlib-users mailing list >> Matplotlib-users@lists.sourceforge.net >> https://lists.sourceforge.net/lists/listinfo/matplotlib-users >> >> >> ------------------------------------------------------------------------------ This SF.net email is sponsored by: High Quality Requirements in a Collaborative Environment. Download a free trial of Rational Requirements Composer Now! http://p.sf.net/sfu/www-ibm-com _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
