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Tom

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
>> ------------------------------------------------------------
>> ------------------
>> Check out the vibrant tech community on one of the world's most
>> engaging tech sites, SlashDot.org! http://sdm.link/slashdot______
>> _________________________________________
>> Matplotlib-users mailing list
>> Mat...@li...
>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>
>

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
>
> ------------------------------------------------------------------------------
> Check out the vibrant tech community on one of the world's most
> engaging tech sites, SlashDot.org! http://sdm.link/slashdot
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>

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