Re: [matplotlib-devel] "Flash" rendering in the Agg backend

2013-03-06 Thread Jae-Joon Lee
While I cannot say much about the "compound renderering" in Agg as I know little about it, but the upsampling method that Mike mentioned seems quite robust. Just a quick question, will it affect the rendered quality of AA'ed artists, like texts? What I mean is, drawing texts w/ AA on (in the upsamp

Re: [matplotlib-devel] "Flash" rendering in the Agg backend

2013-03-06 Thread Michael Droettboom
I'm trying to compile your examples, but it seems perhaps you forget to include a file -- pixel_formats.hpp?  It's not in the agg24 source tree. Mike On 03/06/2013 12:06 PM, Phil Elson wrote: Smart rendering

Re: [matplotlib-devel] Delaunay code: future directions?

2013-03-06 Thread Amit Aronovitch
Thanks Ian. These examples occured when I processed large propriatary datasets. So far, scipy's triangulation worked whenever matplotlib failed. When we have a new implementation, it should be quite simple to check if it works where it had previously failed. Certainly easier than slicing the data

Re: [matplotlib-devel] "Flash" rendering in the Agg backend

2013-03-06 Thread Eric Firing
On 2013/03/06 7:06 AM, Phil Elson wrote: > Smart rendering of adjacent, anti-aliased patches is a question which > has come up a couple of times in various guises in the past. > It is my understanding that the lack of this functionality led us to > disable anti-aliasing for contouring and is the re

[matplotlib-devel] "Flash" rendering in the Agg backend

2013-03-06 Thread Phil Elson
Smart rendering of adjacent, anti-aliased patches is a question which has come up a couple of times in various guises in the past. It is my understanding that the lack of this functionality led us to disable anti-aliasing for contouring and is the reason the following image has a white stripe aroun

Re: [matplotlib-devel] Delaunay code: future directions?

2013-03-06 Thread Ian Thomas
Hi Amit, I am with you 100% of the way. We should use an existing open source Delaunay triangulator, and my preference is for QHull as well. "Improved Delaunay triangulator" is on my matplotlib todo list, albeit it quite a long way from the top. I don't tend to use the existing code as I usuall