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On Wed, Jul 13, 2011 at 1:58 PM, Benjamin Root <ben...@ou...> wrote: > > Most documentation work that seems to remain are Animation module (and I > would love to find out if there is some way to embed a video using sphinx) Just following up on this statement I have made. I did find an extension module (MIT-licensed) that would allow one to embed YouTube video links in the sphinx docs. Maybe we might want to create a matplotlib account on youtube and make various animations available through that? http://countergram.com/youtube-in-rst Ben Root
On 07/14/2011 07:33 AM, Martin Teichmann wrote: > Hello List, > Hello Michael, Hello Jae-Joon, > > Michale wrote: >> It looks like overriding "draw_unsampled_image" is the wrong thing to do >> here, though. > JJ wrote: >> Overriding this behavior (which I guess is the case of you current ShearImage >> implementation. Please correct me if I'm wrong) won't be acceptable. > > I don't know where to go from here. We could: > > - make make_image actually draw the image. This would be a break in > the API. > - introduce a new method (_draw_sampled_image seems like a good name) > that does that. That indirectly changes the API since make_image won't > be called anymore, overriding it doesn't make a difference anymore. I think either of these is ok. make_image is not really in the public API anyway -- I know it doesn't have a preceding underscore, but I think this code may predate that convention. If you add _draw_sampled_image, I would remove make_image to eliminate confusion. > - Rewrite matplotlib from scratch in Java (just kidding) We generally, consider patches in first-come-first-serve order, so I would recommend taking whichever approach could be completed sooner ;) Cheers, Mike -- Michael Droettboom Science Software Branch Space Telescope Science Institute Baltimore, Maryland, USA
Hello List, Hello Michael, Hello Jae-Joon, Michale wrote: > It looks like overriding "draw_unsampled_image" is the wrong thing to do > here, though. JJ wrote: > Overriding this behavior (which I guess is the case of you current ShearImage > implementation. Please correct me if I'm wrong) won't be acceptable. I was (and am) aware of this problem, this is what I meant when I wrote "I should have overridden make_image". That's exactly the point: there are two ways to make the image: one using Agg and fancy interpolations, the other one to use the backend and have the interpolation "none". The former is done by make_image, the latter by _draw_unsampled_image. It would have been correct for me to override make_image, unfortunately this was not possible since make_image only makes the image, it is then drawn by _AxesImageBase.draw, which unfortunately is not flexible enough, as it does not allow for the image to be drawn elsewhere than the origin of the axes, which is not necessarily what I want. This is why I abused _draw_unsampled_image. I am aware that this is an abuse, but my code was only inteded as demonstration code. I don't know where to go from here. We could: - make make_image actually draw the image. This would be a break in the API. - introduce a new method (_draw_sampled_image seems like a good name) that does that. That indirectly changes the API since make_image won't be called anymore, overriding it doesn't make a difference anymore. - Rewrite matplotlib from scratch in Java (just kidding) I'm looking forward to your ideas. Greetings Martin -- Fachbereich Physik Freie Universität Berlin Arnimallee 14 14195 Berlin +49 30 6392 1234