Hello all, I submitted some code to matplotlib-users last September to perform contouring of triangular grids. The posts and code can be found at:
http://sourceforge.net/mailarchive/forum.php?thread_name=4AB3B95B.3090903%40noaa.gov&forum_name=matplotlib-users Like I wrote at the time, if it is useful to enough people I'm happy to improve the code provided it can be incorporated into mpl as I have no interest in maintaining it as a standalone project. Ian On 8 March 2010 23:33, gely <g...@usc.edu> wrote: > > > > Christopher Barker wrote: >> >> gely wrote: >>>> As I think about it, I'm going to have to write code to do this (contour >>>> an unstructured triangular mesh) sometime soon, so please let me know if >>>> it does exist already -- if not I'll try to remember to contribute it >>>> when I get around to it. >>>> >>>> -Chris >>>> >>> >>> Chris, I found this old thread. Did you ever find code to directly >>> interpolate a triangulation? >> >> sorry, no, not yet. >> >> Do you already have the triangulation? if so, it's pretty easy to contour. >> > > Thanks for the reply. Yes. I have the triangulation as a list of point > coordinates and a list of triangles with indices to the points. Good to know > it's not difficult. I'll have to chew on this for a bit. > > -Geoff > -- > View this message in context: > http://old.nabble.com/Contour-Plotting-of-Varied-Data-on-a-Shape-tp25089018p27829342.html > Sent from the matplotlib - users mailing list archive at Nabble.com. > > > ------------------------------------------------------------------------------ > Download Intel® Parallel Studio Eval > Try the new software tools for yourself. Speed compiling, find bugs > proactively, and fine-tune applications for parallel performance. > See why Intel Parallel Studio got high marks during beta. > http://p.sf.net/sfu/intel-sw-dev > _______________________________________________ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > ------------------------------------------------------------------------------ Download Intel® Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
