I am wondering if the "optimizations" you have are actually slowing you
down. I have never found myself needing to flush_events() or call update()
like that. Or to draw the artists like you are doing. Without seeing more
of the code, it is hard to judge. Have you tried using "runsnakerun" to
profil
Thanks for the help (and sorry for the super-late reply).
I just tried blitting, but it doesn't really help. I cannot exceed 20 fps.
The problem is that I'm plotting data from a video file, so that for each
frame I need to draw a new array (not just a foreground). I think its just
to much data.
T
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 Turess
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 wro
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 wrote:
> Hi all,
>
>
> I made a little video player us
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 plotti
