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.
Ok, it works ok with pcolormesh, sorry for bothering you.
···
–
Oleeksandr
2011/4/1 sanGuziy <guziy.sasha@…287…>
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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