Christopher Barker wrote: > > Erik Schweller wrote: >> My overall goal is to generate contour plots for a wide range of input >> data. The data points are not regularly spaced and do not align to >> any grid. The data points represent measurements taken from a model >> that can take on a variety of shapes. To make matters more difficult, >> I'd prefer not to interpolate around corners of the model. > > It strikes me that when you are working with unstructured data like > this, it may be better to keep it unstrucured -- do the delanauy > triangulation and directly contour from that. It's actually prety easy > to contour a triangular mesh. > > Unfortunately, I haven't see code to do it in scipy or MPL. Am I wrong? > Is there something there. If not, there really should be it seems a bit > silly to shoehorn your data to a rectangular grid just to contour it. > > I suppose NN interpolation is essentially doing this already, but it > introduces issues with a boundary that doesnt' line up to a rectangular > grid. > > 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? I need to do the same thing. Thanks, Geoff -- Geoffrey Ely g...@usc.edu http://earth.usc.edu/~gely/ Department of Earth Sciences University of Southern California Los Angeles, CA 90089-0740 -- View this message in context: http://old.nabble.com/Contour-Plotting-of-Varied-Data-on-a-Shape-tp25089018p27826931.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
