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
19:50
To: Discussion of Numerical Python
Subject: [Numpy-discussion] OT: A Way to Approximate and Compress a 3DSurface
Hi Everyone,
This is off topic for this mailing list but I don't know where else to ask.
I have N tabulated data points { (x_i, y_i, z_i) } that describes a 3D
surface. T
