[Numpy-discussion] OT: A Way to Approximate and Compress a 3DSurface

[Robert Kern]

Andrew Straw wrote:
> Christopher Barker wrote:
>>> For data interpolation: 2D-Delaunay triangulation based method (I think you can find one in the scipy cookbook).
>> yup -- but  then you need the decimation to remove the "unneeded" 
>> points. I don't think Scipy has that.
> 
> The sandbox does, thanks to Robert Kern. (And I should really submit a
> patch to move this into the main scipy.)
> http://www.scipy.org/Cookbook/Matplotlib/Gridding_irregularly_spaced_data

No, this does interpolation. It does not do surface simplification.

Also, I'm moving the package over to scikits, instead.

http://projects.scipy.org/scipy/scikits/browser/trunk/delaunay

-- 
Robert Kern

"I have come to believe that the whole world is an enigma, a harmless enigma
 that is made terrible by our own mad attempt to interpret it as though it had
 an underlying truth."
  -- Umberto Eco