On 2013/05/27 9:51 PM, zetah wrote:
> Hi,
>
> if I use something like this:
>
> ==================================================
> 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) # that should take care of it
>
> if __name__ == '__main__':
> for i in range(10):
> draw_fig(np.random.random((10, 10)), 'fig_%02d.png' % i)
> ==================================================
>
> memory usage grows with every loop, so I can't plot this way many sequences.
>
> I know there is animation class in Matplotlib, but this way is easier to me,
> and I think I miss something fundamental because this is happening. How can I
> avoid memory leak using this approach?
>
> Thanks
>
>
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