pythonscipyinterpolationdelaunayscipy-spatial

Interpolation with Delaunay Triangulation


Having a cloud point shaped like some sort of distorted paraboloid, I would like to use Delaunay Triangulation to interpolate the points. I have tried other techniques (f.ex. splines) but did not manage to enforce the desired behavior.

I was wondering if there's a quick way to use the results of scipy.spatial.Delaunay in a way where I can give the (x,y) coords and get the z-coord of the point on the simplex (triangle). From the documentation looks like I can pull out the index of the simplex but I am not sure how to take it from there.

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Solution

  • You can give the Delaunay triangulation to scipy.interpolate.LinearNDInterpolator together with the set of Z-values, and it should do the job for you.

    If you really want to do the interpolation yourself, you can build it up from find_simplex and transform.