Giving it a cursory glance, I think it's mostly current. Is there
something specific that isn't working for you?
Mike
On 03/23/2015 08:09 AM, Achyut Rastogi wrote:
Hello,
I am having trouble following the instructions given here --
No, sorry that was probably a mistake on my part, I thought that I would
find the list of backends in __init__.py instead of
https://github.com/rastogiachyut/matplotlib/blob/master/lib/matplotlib/rcsetup.py#L31
On Tue, Mar 24, 2015 at 10:45 PM, Michael Droettboom md...@stsci.edu
wrote:
Giving
Hello,
I am having trouble following the instructions given here --
https://github.com/matplotlib/matplotlib/blob/master/lib/matplotlib/backends/backend_template.py#L16
it feels like the code was refractored (changed?) and those instructions
never updated?
On Sun, Mar 15, 2015 at 6:23 AM, Chris
On Mar 13, 2015, at 12:50 PM, Cyrille Rossant cyrille.ross...@gmail.com wrote:
Exactly. Note that pushing data on the GPU is not that slow:
No -- and something has to be pushed to the video card at some point anyway.
But my experience is that if you need to push the data to the CPU,
that
It might be difficult to stick to matplotlib architecture and still benefit
from OpenGL speed.
There are a lot of GL techniques that speed up things a lot but are are not
really compatible.
For example, isolines, quiver plots, image interpolations and most
transformations can be handled
MEP 25 is working towards providing a way to serialize the contents of a
figure in a more controlled way. The main target of this is
saving/reopening figures and export to bokeh/plotly/d3, but I think this
would also work well for exporting everything off to an opengl backend.
Tom
On Fri, Mar
On Fri, Mar 13, 2015 at 12:53 PM, Chris Barker chris.bar...@noaa.gov
wrote:
On Fri, Mar 13, 2015 at 10:21 AM, Benjamin Root ben.r...@ou.edu wrote:
Probably what I am most interested in from OpenGL is its transforms
stack.
OpenGL can't do anything with transforms that you couldn't do in
On Fri, Mar 13, 2015 at 10:21 AM, Benjamin Root ben.r...@ou.edu wrote:
Probably what I am most interested in from OpenGL is its transforms stack.
OpenGL can't do anything with transforms that you couldn't do in python (or
C, or Cython). What it can do is push the transform computations to the
By speed I meant to be able to render big plot (like a million point scatter
plot or having 10 000 isolines, etc.)
Concerning output quality, I think we're almost done. We have antialiases
lines, markers and polygons (equivalent to agg), 2D agg-quality text (same
techniques) and 3D decent
2015-03-13 18:21 GMT+01:00 Benjamin Root ben.r...@ou.edu:
Quite honestly, I am not all that concerned about speed (at least, I am
not talking about achieving gaming level performance). I am most concerned
about compatibility, quality of the image rendering, quality of the text
rendering, and
Quite honestly, I am not all that concerned about speed (at least, I am not
talking about achieving gaming level performance). I am most concerned
about compatibility, quality of the image rendering, quality of the text
rendering, and consistency across platforms. Probably what I am most
Note that with OPenGL in general, its the transforming that buys you
performance -- when you push brand new data to be rendered, it takes a lot
of time to push that data to the video card, so drawing the first time
doesn't buy you much. But if you need to re-render that same data in a
On Sat, Mar 7, 2015 at 4:17 PM, Thomas Caswell tcasw...@gmail.com wrote:
Thank your for your interest, mpl on touch devices sounds super cool!
Indeed!
The easiest course is probably to develop a backend modeled after the
{qt,wx,gtk}Agg backends which embed an Agg backend into the gui
Kivy is all built on OpenGL, so it would probably be pretty
straightforward to generate teh image with AGG, then dump it to the screen
as an OpenGL texture. But it would be a bit sad to not take advantage of
OpenGL at all in that process. (and getting AGG to work with Kivy may be
less than
+1 on an OpenGL backend! Especially if I can off-load a lot of mplot3d
stuff to it! Does vispy have any plans to eventually bring that into
mainline matplotlib, or does it break too much with the standard set of
backends to make sense in matplotlib (or maybe it is too much of a
I don't think it would work like the other backends. Last time I checked,
the MPL backend system would not let us achieve high performance. Currently
we use Jake Vanderplas' mplexporter system that was developed for mpld3.
Eventually, I guess we could expose the same interface as mpld3, i.e.
One thing to note, that the backend structure will hopefully change soon
with a huge refactor of the backends.
Take a look https://github.com/matplotlib/matplotlib/pull/4143 for the
current progress and feel free to give your comments.
As a status update, I currently work on the WebAgg backend
Thanks OceanWolf
On Tue, Mar 10, 2015 at 3:13 PM, OceanWolf juichenieder-n...@yahoo.co.uk
wrote:
One thing to note, that the backend structure will hopefully change soon
with a huge refactor of the backends.
Take a look https://github.com/matplotlib/matplotlib/pull/4143 for the
current
Achyut,
As I am sure everyone else on this list is sick of hearing, I have a book
that will be coming out soon that can help explain many of your questions.
It has a chapter explaining some of the differences between the interactive
backends and how backends work, in general. The book is in the
Achyut,
Thank your for your interest, mpl on touch devices sounds super cool!
The easiest course is probably to develop a backend modeled after the
{qt,wx,gtk}Agg backends which embed an Agg backend into the gui framework
of choice. In those cases we rely on Agg to handle the mpl specific
Hello , I am a novice gsoc aspirant and I want to write a backend for kivy,
I read some of the other conversations on the mailing list and I know about
the template you guys provide but I am having trouble getting started, can
you please help me get up-to speed. I would be great help if you could
Thank you Tom
I read the qt backend and the first comment said about rendering from qt to
agg, thank for the explaination, so if I don't understand some parts of the
backend is this where I ask.
On 5:47AM, Sun, Mar 8, 2015 Thomas Caswell tcasw...@gmail.com wrote:
Achyut,
Thank your for your
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