Depending on the exact use case you can get pretty good mileage out of
blitting (See http://matplotlib.org/api/animation_api.html#funcanimation for
an explanation or how it is used in the widgets module).
The best way to make things faster is to just do less work :)
Tom
On Thu, Sep 21, 2017 at 5
On Wed, Sep 13, 2017 at 12:31 AM, Francesco Faccenda wrote:
> I have to admit I already stumbled on VisPy while doing my research on the
> web. Still, I've got a lot of code already working with *matplotlib*.
> Indeed, not only I plot data with it, but i manage a lot of *mpl events*
> to provide
Thank you, Ben.
unfortunately I don't have experience developing opengl neither, but I'd
like to make an attempt riesuming this subject.
I am starting from this: https://github.com/ChrisBeaumont/mplgl
Can anyone confirm this is the last update we have for this project?
Francesco Faccenda
2017-
Thank you Chris for your reply.
I have to admit I already stumbled on VisPy while doing my research on the
web. Still, I've got a lot of code already working with *matplotlib*.
Indeed, not only I plot data with it, but i manage a lot of *mpl events* to
provide the users usefool tools, like lines p
On Tue, Sep 12, 2017 at 8:47 AM, Francesco Faccenda
wrote:
> But there’s a good news, I have a nice GPU available (an NVIDIA Tesla
> K40c), so I’d like to know if there is a way to make matplotlib run on it,
> or maybe wrap it on some GPU/CUDA wrapper and make it run smoothly.
>
I tihnk you want
Greetings to everyone,
I'm Francesco Faccenda and I'm developing a sfotware in *python* where I
need to show some charts, so I chose matplotlib as a plot library. Anyway,
since lots of data are shown on matplotlip stages (thousands of curves with
hundreds of points each), the charts become very
