Hi everybody, I am running out of memory while doing something like this: F= figure() AX= F.add_subplot(111) MyClass.plot(axes=AX) F.show()
MyClass.plot(axes=AX) then does something like this: ... for i in xrange(100): self.MyOtherClass[i].plot(axes=AX) ... This call finally plots some data, contained in MyOtherClass, onto the axes "AX" with the usual command: AX.plot(x,y) x and y have order 100 points. When I do this, I quickly run out of memory. Am I hitting a "hard" limit, just because I am trying to plot too many points (and I am working on kind of an old machine), or am I somehow wasting memory by plotting several instances onto the same axes? (of course, plotting each (x,y) on a separate figure and then closing it would solve the problem, but that is not what I need) Is there a way I can reduce the memory footprint of the plot? By comparison, the same plot, using Matlab in a similar fashion as explained above, can be done without big trouble even if indeed it takes up quite some memory. I hope the issue is clear, unfortunately the code is a bit complex and it is not possible to condense it in a few lines. Thanks for your feedback. ------------------------------------------------------------------------------ Symantec Endpoint Protection 12 positioned as A LEADER in The Forrester Wave(TM): Endpoint Security, Q1 2013 and "remains a good choice" in the endpoint security space. For insight on selecting the right partner to tackle endpoint security challenges, access the full report. http://p.sf.net/sfu/symantec-dev2dev _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users