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
matplotlib-slow.py
Description: application/python
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