Re: [Matplotlib-users] Adding a ready figure to pyplot.

[Phil E. <pel...@gm...>]

I don't have a good answer to this and have had to implement such a
thing in an outstanding pull request (in my case, I have a figure
which has been un-pickled and needs re-attaching to pyplot).

My proposed mechanism goes something like:


figure = matplotlib.figure.Figure(...)

import matplotlib.pyplot as plt

mgr = plt._backend_mod.new_figure_manager_given_figure(num, self)



Obviously this doesn't even exist on master yet, so if you need this
functionality from a version before this you will have to reverse
engineer the pyplot.figure function.

HTH,



On 29 July 2012 13:12, Anton Akhmerov <ant...@gm...> wrote:
> Hi,
>
> I am writing a module which should, among other things, output images, and it
> should work both in interactive mode and when imported as a script.
>
> In order for the plotting behavior to be clean, I would like to prepare the
> figure separate from pyplot. The reason for this, is that the figure is drawn in
> a non-interactive loop, and I don't want to show all the steps as they go.
> Moreover, for some reason with ipython inline backend the figure is rendered
> twice for no obvious reason. So the preferred behavior of my plotting function
> (when pyplot output is requested) should be similar to:
>
> fig = matplotlib.figure.Figure()
> ax = fig.add_subplot(111)
> ax.plot([1,2,3])
> matplotlib.pyplot.<ADD_FIGURE>(fig)
>
> The best approximation to this that I was able to find so far is to use the
> following dirty hack (although none of the attributes I use are _private!):
>
> f = plt.figure()
> fig.canvas = f.canvas
> f.canvas.figure = fig
>
> However this is still problematic: if the interactive mode is on, then rendering
> of the figure will still be called after these two attribute. Moreover in
> IPython notebook without inline plotting it will result in an opened GUI window,
> but GUI mainloop not running.
>
> So here's my question: what's the best way to achieve the behavior that I want?
>
> Thank you,
> Anton
>
>
> ------------------------------------------------------------------------------
> Live Security Virtual Conference
> Exclusive live event will cover all the ways today's security and
> threat landscape has changed and how IT managers can respond. Discussions
> will include endpoint security, mobile security and the latest in malware
> threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users