matplotlib-users Mailing List for matplotlib

Dear Jupyter Community,
[ Forgive the cross-post, trying to spread the word to at least the most
relevant communities ]
it is my pleasure to announce that this year, we'll be having our first
Jupyter community conference, JupyterCon. It will take place in August in
NYC:
http://jupytercon.com
To accompany the conference launch, Brian and I drafted a little "State of
Jupyter" post that we hope you'll find useful:
https://www.oreilly.com/ideas/the-state-of-jupyter.
For JupyterCon, we have partnered with O'Reilly Media, long-time supporters
of the project and active publishers in the Python/Data Science space who
have extensive experience running conferences. Andrew Odewahn, CTO of
O'Reilly and I will be co-chairing the conference, and we hope many of you
will be interested in participating with talk proposals, tutorials or
attending to engage with your fellow Jupyter users and developers. We have
a great program committee composed of a broad and diverse sample of our
community, who will work with you to ensure you have a positive and
productive experience submitting and preparing your talks, tutorials and
activities.
This is a big milestone for our project, and for me personally: I never
imagined a tiny bit of Python config more than fifteen years ago would take
us here, and I want to extend my most sincere gratitude to every single one
of you who makes this possible.
I also want to thank the entire team at O'Reilly for taking a risk with a
project that has never held an event like this, as well as to our funders,
the Alfred P. Sloan Foundation, the Gordon and Betty Moore Foundation and
the Helmsley Trust, without whose support we would not be where we are
(this conference was in fact part of our current grant deliverables).
Please spread the word, submit a proposal, and join us in NYC so we can
have both a great event and a project that continues to grow and contribute
to research, education, industry and more!
Very best,
Fernando
-- 
Fernando Perez (@fperez_org; http://fperez.org)
fperez.net-at-gmail: mailing lists only (I ignore this when swamped!)
fernando.perez-at-berkeley: contact me here for any direct mail
-- 
Fernando Perez (@fperez_org; http://fperez.org)
fperez.net-at-gmail: mailing lists only (I ignore this when swamped!)
fernando.perez-at-berkeley: contact me here for any direct mail

To push much past 20Hz you will want to look into blitting. See
http://matplotlib.org/devdocs/api/animation_api.html for a rough
introduction on how to use blitting (and see the animation code for an
example of handling all of the corner cases).
Tom
On Fri, Oct 14, 2016 at 5:29 PM Hjalmar Turesson <htu...@gm...>
wrote:
> That works fine. And it explains why update() only worked with the Qt
> backends (I tried all). The speed is still not super impressive though (~20
> fps), but I think I will just start skipping frames when playing at above
> 20 fps.
>
> Thanks,
> Hjalmar
>
> On Fri, Oct 14, 2016 at 10:37 AM, Thomas Caswell <tca...@gm...>
> wrote:
>
> Instead of `canvas.update` call `self.im.figure.canvas.draw_idle()`.
>
> IIRC `update` is part of the API inherited from Qt, not part of the API we
> ensure that all of the canvas objects have.
>
> Tom
>
> On Fri, Oct 7, 2016 at 4:48 PM Hjalmar Turesson <htu...@gm...>
> wrote:
>
> Hi all,
>
>
> I made a little video player using matplotlib. I need it to allow very
> good control over the playback speed (e.g. direction, frame-by-frame
> stepping and fast and slow).
>
> However, it's not very fast. Max frame rate I can achieve is 10-20 fps.
> I followed Basti's advice on speeding up plotting (
> http://bastibe.de/2013-05-30-speeding-up-matplotlib.html).
> This resulted in a more than 2x improvement (from <5 to 10-20 fps), but I
> would like to reach 40-50 fps.
>
> The core code is something like this:
>
> self.im.set_data(self.video_frame)
>
> self.text.set_text('some text')
>
> self.ax.draw_artist(self.im)
> self.ax.draw_artist(self.text)
> self.im.figure.canvas.update()
> self.im.figure.canvas.flush_events()
>
> video_frame is a 200 x 250 array. I tried lowering dpi from 100 to 50,
> but the improvement is marginal.
>
> I saw that Harden (
> http://www.swharden.com/wp/2013-04-15-fixing-slow-matplotlib-in-pythonxy/)
> recommended using TkAgg over Qt4Agg since TkAgg is supposed to be faster.
> But, TkAgg doesn't play nicely with figure.canvas.update(). I get the
> following error:
> AttributeError: 'FigureCanvasTkAgg' object has no attribute 'update'
> It works with Qt4Agg though.
>
> Does anyone have a fix for this? Or some general advice on how to speed up
> playback speed?
>
> I tried with both matplotlib 1.5.1 and the current version from
> github 2.0.0b4+2373.gb34c55d
>
> Best regards,
> Hjalmar
>
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>

Hi,
On Mon, Jan 2, 2017 at 10:40 AM, wb...@al... <wb...@al...> wrote:
> Running my program for graphics and serial data I got a problem in
> dispalying the graph. The message screen in attached.
>
>
> Can anybody help me? Thanks a bunch in advance and happy new year!
>
Unfortunately the screen shot doesn't include the last lines of the error
message, so it's difficult to guess what went wrong. Can you run the
program again, and copy / paste the full text of the exception instead?
Cheers,
Matthew

Running my program for graphics and serial data I got a problem in dispalying the graph. The message screen in attached.
 Can anybody help me? Thanks a bunch in advance and happy new year!
 Marco Calvani
Liceo Scientifico 'R. Donatelli'
 via della Vittoria
 Terni

Running my program for graphics and serial data I got a problem in dispalying the graph. The message screen: 
 Can anybody help me? Thanks a bunch in advance and happy new year!
Marco Calvani
Liceo Scientifico 'R. Donatelli'
 via della Vittoria
 Terni