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Showing 1 results of 1

From: Amit A. <aro...@gm...> - 2013年03月05日 23:08:53
Dear MPL-devs,
Currently, matplotlib does Delaunay triangulation using a special 
purpose module written in C++ (if I'm not mistaken, it was originally 
forked off from some SciKit and wrapped into a Python module).
Some people (here and on github issues) had suggested it might need some 
rewrites/modification.
In particular I was wondering if we should continue maintaining it here 
or maybe switch to using some external library.
Since triangulation is not a plotting-specific problem, and some free 
libraries are available for solving it, we might actually benefit in 
terms of efficiency and robustness.
Specifically, I had suggested QHull, which is used by scipy (note that 
now there is also a stand-alone python interface: 
https://pypi.python.org/pypi/pyhull - I did not check that out yet).
@dmcdougall had suggested Jonathan Shewchuk's triangle library (we 
should check the license though - I think it is "for non-commercial 
use", unlike mpl). There are also other alternatives.
On the other hand, there's the issue of minimizing external 
dependencies. I think @ianthomas23 had once mentioned that he is happy 
with having Delaunay code reside in mpl (and, of course, "maintainable" 
is whatever is most convenient for the maintainers).
I apologize for suggesting more tasks without contributing time to work 
on them. Just thought that since I finally sat down to report issue 
#1809 (which seems to be a particularly slippery bug in the code 
mentioned above), it might be a good time to discuss this topic again.
thanks,
 Amit Aronovitch

Showing 1 results of 1

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