Re: [Matplotlib-users] Memory usage when plotting sequental figures

[Albert K. <alb...@gm...>]

I had this problem as well. I think my solution was to tell the garbage
collector to collect.

import gc
import numpy as np
import matplotlib.pyplot as plt

def draw_fig(arr, fn):
    fig = plt.figure()
    ax = fig.add_subplot(111)
    ax.contourf(arr)
    plt.savefig(fn)
    plt.close(fig)
    gc.collect()

I tried to test this with Python3.3, but didn't have any issues with memory
increasing when using 'plt.close'.


On Tue, May 28, 2013 at 8:04 AM, zetah <ot...@hu...> wrote:

> "zetah" wrote:
> >
> >Eric Firing wrote:
> >>
> >>        plt.close(fig)  # that should take care of it
> >
> >Thanks for your quick reply.
> >
> >I tried before posting `plt.close()` and it didn't work, but also
> >`plt.close(fig)` doesn't change memory pumping with every loop.
> >BTW, I'm on Windows with Matplotlib 1.2.1
>
> I solved the problem by using animation class. If was a bit tricky, as I
> had inner loops that also were producing plots for same sequence, and from
> what I understood about this class, iterator is "frames" argument in
> FuncAnimation() function, which also returns the frame, so you may imagine
> how I solved inner loops.
> I guess there is instrumentation for such case, but documentation about
> animation class is beyond my comprehension. Also couple of blogs explaining
> basics of FuncAnimation() function weren't very helpful to me. Maybe it's
> my limitation...
>
> Anyway, I'm still curious how to close figure from my initial message, so
> that memory won't leak. I welcome your replies
>
>
>
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