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 d
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.
Nadav Horesh wrote:
> Wouldn't a random or regular subsampling of the set will do the job?
> I have N tabulated data points { (x_i, y_i, z_i) } that describes a 3D
> surface. The surface is pretty "smooth."
If it's equally "smooth" everywhere, then yes, a subsampling would work
fine, but I'm g
Wouldn't a random or regular subsampling of the set will do the job?
For data interpolation: 2D-Delaunay triangulation based method (I think you can
find one in the scipy cookbook).
Nadav.
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From: [EMAIL PROTECTED] on behalf of Geoffrey Zhu
Sent: Tue 20-Nov-07 19:50
