Hi, I'm not sure if it helps, but you can try to plot always into the same figure object instead of creating a new one every time you call the plot_density function.
I would create one figure in advance and pass this the plot_density method. Within the method set the figure active (pl.figure(fig.number)), plot the data, save the figure and clear the figure canvas (pl.clf() should work here, I guess). Well, as mentioned I'm not sure but you could give it a try. br Jakob Alain Francés wrote: > Hi, http://old.nabble.com/file/p31858795/ErrorMsg.png > > indeed I forgot to remove these line from previous tests, sorry. > > However it doesn't affect the code behaviour, the problem remains (it fills > the RAM memory and raises a memory error, see img in att.). > > Alain > > > Davidmh wrote: >> You are importing pylab again before each plot. You have loaded it before. >> >> for i,t in enumerate(times): >> import pylab as pl # <--ERASE THIS >> >> >> >> On Wed, Jun 15, 2011 at 12:10 PM, Alain Pascal Frances >> <frances17...@itc.nl> wrote: >>> Hi, >>> >>> I have a script that creates and saves figures in a loop. The memory is >>> increasing at each figure and is not released back, rising a Memory >>> error. >>> I used the close() function on the figure object as well as gc.collect(), >>> but no effect. >>> >>> I searched on the net and found a similar problem at >>> http://stackoverflow.com/questions/3623600/python-matplotlib-memory-not-being-released-when-specifying-figure-size. >>> The problem here was solved using the close() function but in my case, as >>> refered before, it doens't work (see code below). >>> >>> I'm using Python 2.6.6, matplotlib 1.0.1, WXagg as backend, on windows7. >>> >>> Thanks for help! >>> >>> Alain >>> >>> >>> CODE: >>> >>> import pylab as pl >>> import os, tempfile >>> def plot_density(filename,i,t,psi_Na): >>> pl.figure(figsize=(8,6)) >>> pl.imshow(abs(psi_Na)**2,origin = 'lower') >>> filename = os.path.join(tempfile.gettempdir(), filename + >>> '_%04d.png'%i) >>> pl.savefig(filename) >>> pl.clf() >>> pl.close() >>> if __name__ == "__main__": >>> x = pl.linspace(-6e-6,6e-6,128,endpoint=False) >>> y = pl.linspace(-6e-6,6e-6,128,endpoint=False) >>> X,Y = pl.meshgrid(x,y) >>> k = 1000000 >>> omega = 200 >>> times = pl.linspace(0,100e-3,100,endpoint=False) >>> for i,t in enumerate(times): >>> import pylab as pl >>> psi_Na = pl.sin(k*X-omega*t) >>> plot_density('wavefunction',i,t,psi_Na) >>> print i >>> ------------------------------------------------------------------------------ ------------------------------------------------------------------------------ EditLive Enterprise is the world's most technically advanced content authoring tool. Experience the power of Track Changes, Inline Image Editing and ensure content is compliant with Accessibility Checking. http://p.sf.net/sfu/ephox-dev2dev _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
