On Wed, Aug 15, 2012 at 5:40 AM, Jesper Larsen <jesper.webm...@gmail.com>wrote:
> Hi Matplotlib users
>
> I have an application where performance is critical and matplotlib is
> the performance bottleneck. I am making a lot of figures using the
> same basic setup of the figure. And from my profiling I can see that
> this basic setup accounts for most of the CPU time. Let us say that I
> make a given figure including some axes. My questions are:
>
> 1. Can I make a copy of this figure including axes (copy.deepcopy does
> not work on Figure objects) and use the copy for plotting on?
>
> 2. And how? Should I use the frozen method somehow?
>
> I did do something similar some years back. But at the time I removed
> the stuff I had drawn on the figure. I would like to avoid this for
> two reasons: 1) Thread safety, I must be able to draw figures in
> several simultaneous threads and 2) I really had to go into some
> low-level details in matplotlib (not a show-stopper, but for
> maintenance reasons I would like to keep the code as clear as
> possible).
>
> Best regards,
> Jesper
>
>
Jesper,
An experimental feature that will be available in the upcoming v1.2.0
release will be pickling support. It is marked as experimental as there
are plenty of untested edge cases, but it should be a huge step in the
right direction for the feature that you and many others have asked for.
We certainly will welcome any and all feedback on what does and does not
pickle well.
Cheers!
Ben Root
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