On 2013/03/07 9:50 AM, Giovanni Plantageneto wrote: > 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.
Are you sure it is the plotting that is gobbling the memory? I don't think 100 lines of 100 points should be excessive. When I do a simple test like that, I see about 90 Mb used, and little change after each iteration. You could try putting in calls to matplotlib.cbook.report_memory() to see where the increases are occurring. Eric > > 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 > ------------------------------------------------------------------------------ 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
