The griddata function should be doing delaunay triangulation by default, so
the result from griddata should be identical to the second plot. I see that
you are using a "mask" for x0, y0, v0. This is unnescessary, as you really
want to pass the "flat" arrays.
I can not get a masked array from griddata. Actually, I have to pass in
flat arrays to make it work at all. And the result is identical to the
second plot:
ui = pylab.mlab.griddata(x0.flat, y0.flat, v0.flat, xi, yi)
As to whether the result is "correct" or not, I am not qualified to say, so
I will leave that to someone else to determine.
Ben Root
On Sun, Jun 27, 2010 at 8:28 PM, Martinho MA <m...@ua.pt> wrote:
> Hello,
>
> I need to interpolate from a 2d grid to another one.
> I tryed to use griddata (with natgrid) but the returned data if fully
> masked. So, I used directly delaunay triangulation and I obtained quite bad
> results!!
>
> I send attached a small code and the output figure as png. I also send my
> data as npz (32k).
> To generate it just run
> >>python test.py 1
>
> or from python:
> >import test
> >test.go()
>
> Thanks for the help
> mma
>
>
> matplotlib.__version__
> 0.99.1
>
> uname -a
> Linux cxx 2.6.25.20-0.7-default #1 SMP 2010-02-26 20:32:57 +0100 x86_64
> x86_64 x86_64 GNU/Linux
>
>
>
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