Ok, it works ok with pcolormesh, sorry for bothering you.
--
Oleeksandr
2011/4/1 sanGuziy <guziy.sa...@gmail.com>
>
> Dear list,
>
> I have a question concerning pcolor.
> I am trying to plot a huge 2d array 15000x10000.
> And in top I see that the program already uses 31Gb of ram and it grows.
> Is this expected behaviour?
> Why it needs so much memory?
> the sctipt is simple:
>
> import matplotlib
> import numpy as np
> import matplotlib.pyplot as plt
>
> from numpy.random import rand
>
> import mpl_toolkits.basemap as bm
>
>
> if __name__ == "__main__":
>
> print matplotlib.__version__
> print matplotlib.__revision__
> print matplotlib.__date__
>
>
> print 'basemap'
> print bm.__version__
>
> print 'numpy'
> print np.__version__
>
>
> x = rand(15000,10000)
> #print x
> plt.pcolor(x)
> plt.savefig('test_pcolor.png', bbox_inches = 'tight')
> print "Hello World"
>
> matplotlib version is:
> 1.0.0
> $Revision: 8503 $
> $Date: 2010-07-06 08:56:31 -0500 (Tue, 06 Jul 2010) $
>
> should I update?
>
> thank you for any help
> --
> Oleksandr Huziy
> --
> View this message in context:
> http://old.nabble.com/pcolor-tp31300362p31300362.html
> Sent from the matplotlib - users mailing list archive at Nabble.com.
>
>
>
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