Approximating scattered data
grante at visi.com
Sat Jan 1 17:25:59 EST 2005
I've been looking for some way to approximate scattered 3D data
points in Python. The data doesn't seem to be amenable to
fitting functions like polymials, so I may have to use
something more like a spline surface.
However, I can't find anything usable from Python, and my
Fortram skills are pretty rusty. I tried SciPy, but it's spline
fitting module doesn't work at all for my data. I've found
mentions of a Python port NURBS toolbox, but all the links I
can find are broken.
I've also found references to Fortran programs from
netlib/toms, but I was hoping there might be something that was
already usable from Python.
Can anybody point me toward a Python module for approximating
scattered data using something like a Renka algorithm?
Grant Edwards grante Yow! How do I get HOME?
More information about the Python-list