Hi,
I'm using WXAgg by default because I developped an application with GUI
using wxpython.
But in this case indeed I don't need WXAgg and substituting WXAgg by Agg
just work fine, both in the code I submitted as example (see the corrected
code at the end) and in the one I'm working with.
So yes, probably there is a memory leakage using WXAgg that, as you say, can
be an interesting problem for the experts!
Thank you very much for your wise solution (if you are interested, see also
the comment of Jakob and my reply, he proposed an elegant solution still
using WXAgg).
Alain
CORRECTED CODE:
# BOF
import os, tempfile
import matplotlib as mpl
if mpl.get_backend<>'agg':
mpl.use('agg')
import matplotlib.pyplot as plt
import numpy as np
print '\nBackend:\n' + mpl.get_backend() + '\n'
def plot_density(filename,i,t,psi_Na):
plt.figure(figsize=(8,6))
plt.imshow(abs(psi_Na)**2,origin = 'lower')
filename = os.path.join(tempfile.gettempdir(), filename + '_%04d.png'%i)
plt.savefig(filename)
plt.close()
if __name__ == "__main__":
x = np.linspace(-6e-6,6e-6,128,endpoint=False)
y = np.linspace(-6e-6,6e-6,128,endpoint=False)
X,Y = np.meshgrid(x,y)
k = 1000000
omega = 200
times = np.linspace(0,100e-3,500,endpoint=False)
for i,t in enumerate(times):
psi_Na = np.sin(k*X-omega*t)
plot_density('wavefunction',i,t,psi_Na)
print i
# EOF
Davidmh wrote:
>
> I can run the script you provided up to 600 without noticing any
> memory growth (TkAgg backend by default). Using the WxAgg, the memory
> leak appears.
>
> If you don't explicitly need WxAgg, I would recommend using TkAgg, or
> better Agg if you are not showing the figures. If it is not the case,
> more expert and wiser people will have to come to help.
>
>
> On Thu, Jun 16, 2011 at 11:41 AM, Alain Francés <frances08...@itc.nl>
> 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
>>>> ------------------------------------------------------------------------------
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