On 2009-05-23 21:35, Eric Carlson wrote:
Hello Robert,
I studied delaunay and mlab.griddata a bit while converting tinterp and
saw the
tri = delaunay.Triangulation(x,y)
# interpolate data
interp = tri.nn_interpolator(z)
zo = interp(xi,yi)
stuff.
Ondrej Certik wrote:
On Fri, May 22, 2009 at 3:37 PM, Ondrej Certik ond...@certik.cz wrote:
Thanks a lot John. I tried that and it does what I want. I just need
to convert and probably average my 3 different values at the 3
vertices of the triangle and color the triangle with that color. When
On Mon, May 25, 2009 at 1:03 AM, Robert Cimrman cimrm...@ntc.zcu.cz wrote:
Ondrej Certik wrote:
On Fri, May 22, 2009 at 3:37 PM, Ondrej Certik ond...@certik.cz wrote:
Thanks a lot John. I tried that and it does what I want. I just need
to convert and probably average my 3 different values at
Hello Robert,
I studied delaunay and mlab.griddata a bit while converting tinterp and
saw the
tri = delaunay.Triangulation(x,y)
# interpolate data
interp = tri.nn_interpolator(z)
zo = interp(xi,yi)
stuff. In studying delaunay, however, it was/is not clear to
On Thu, May 21, 2009 at 9:31 PM, Ondrej Certik ond...@certik.cz wrote:
Hi,
I have a set of vertices in 2D as triples (x, y, val), where the x, y
are 2D coordinates and val is the scalar value of the finite element
solution, here is an example:
In [54]: l.get_vertices()
Out[54]:
array([[
