matplotlib-devel Mailing List for matplotlib

Hi,

Very sorry to miss this one - I'm in Cuba at the moment - if Google
doesn't block hangouts, then there would not be enough bandwidth.

Sorry not to get to setting up buildbot testing. Paul - do you have
time for that?

Cheers,

Matthew

On Thu, Nov 14, 2013 at 5:57 PM, Paul Ivanov <pi...@be...> wrote:
> Michael Droettboom, on 2013-11-14 10:23,  wrote:
>> Sorry - I've been without network connection this morning, but it's back
>> up...
>>
>> I'll be starting the matplotlib hangout shortly.  Let me know if you
>> don't get an invite and would like to join.
>
> Mike and others,
>
> is there a link to this hangout, or was this one not recorded
> "on-air"?
>
> best,
> --
>                    _
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> --------------.......J
> Paul Ivanov
> http://pirsquared.org
>
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Very nice.
Thanks for sharing Jason.


On 15 November 2013 13:18, Jason Grout <jas...@cr...> wrote:

> On 11/14/13 7:24 PM, Jason Grout wrote:
> > Following a very helpful conversation with Michael this morning in the
> > dev hangout, I got this working with the current master (of matplotlib
> > and ipython).
>
> I also got this initial experimental demo working on the Sage cell server:
>
> http://sagecell.sagemath.org/?q=ilpajg (for a sage plotting example)
>
> http://sagecell.sagemath.org/?q=spadja (for one of the examples from the
> matplotlib docs)
>
> Thanks,
>
> Jason
>
>
>
> ------------------------------------------------------------------------------
> DreamFactory - Open Source REST & JSON Services for HTML5 & Native Apps
> OAuth, Users, Roles, SQL, NoSQL, BLOB Storage and External API Access
> Free app hosting. Or install the open source package on any LAMP server.
> Sign up and see examples for AngularJS, jQuery, Sencha Touch and Native!
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>

On 11/14/13 7:24 PM, Jason Grout wrote:
> Following a very helpful conversation with Michael this morning in the
> dev hangout, I got this working with the current master (of matplotlib
> and ipython).

I also got this initial experimental demo working on the Sage cell server:

http://sagecell.sagemath.org/?q=ilpajg (for a sage plotting example)

http://sagecell.sagemath.org/?q=spadja (for one of the examples from the
matplotlib docs)

Thanks,

Jason

On 10/16/13 3:46 PM, Jason Grout wrote:
> On 10/16/13 1:58 PM, Michael Droettboom wrote:
>> Sorry to take so long to get to this. This is a nice piece of work.
>>
>> The most obvious thing is that this is a copy-and-paste of the existing
>> WebAgg backend -- and maintaining the two is going to be much harder
>> than building both out of the same pieces.  As of 6389d14f, the WebAgg
>> backend was refactored so that the transport that it uses to communicate
>> to the browser is no longer hard coded.  This was done in large part to
>> support working with IPyhton in this way.  (That is, it used to only
>> communicate with the browser through Tornado, but now it can be anything
>> that can send bits back and forth).  There's an example of this in
>> `examples/user_interfaces/embedding_webagg.py` that shows how to do this
>> (using Tornado, but again, it doesn't have to be). There's no guarantees
>> that this interface is sufficient, so it may require some back and forth
>> on this to make it all work.
>>
>> I think the first thing I would do would be to refactor this to use
>> that.  It's a little hard to tell what you've changed from the original
>> WebAgg backend to get it to support IPython.  If it were built on top
>> of, rather than in addition to, WebAgg, that would be more obvious.
>
> Thanks for the feedback.  I was thinking that a refactor to pull out the
> communication layer would be really nice.
>
> I didn't change the WebAgg backend because I figured you wanted it
> around still.  I figured a plain old diff with the file would reveal
> changes.
>
> Anyways, thanks for the pointer to the refactor commit.  I hope to look
> at this again sometime soon.
>

Following a very helpful conversation with Michael this morning in the 
dev hangout, I got this working with the current master (of matplotlib 
and ipython).  The refactoring made the code much better; thanks!

I updated the pull request at 
https://github.com/matplotlib/matplotlib/pull/2524

To test this, run IPython (master branch, to get the comm commits), and 
put this in a cell: 
https://github.com/matplotlib/matplotlib/pull/2524#issuecomment-28539813

Then you can execute something like:

from matplotlib.figure import Figure
import numpy as np
fig = Figure()
a = fig.add_subplot(111)
t = np.arange(0.0, 3.0, 0.01)
s = np.sin(2 * np.pi * t)
a.plot(t, s)
CommFigure(fig)

and get a live figure in the IPython notebook that uses the comm 
messaging infrastructure.

Michael---do you have time to take it from here?

Thanks,

Jason