Hi Yuval,
Natgrid doesn't do weighting that I know of. I'm looking into our NCL
functions to see if there's something I can tap into there and bring
over into the PyNGL world.
However, I imagine that there are other python modules out there, like
Scipy, that have this kind of functionality. Did you look at the
scipy.interpolate package?
--Mary
On Mon, 21 Jul 2008, Yuval Itan wrote:
>
> Hi all,
>
> I'm using Ngl.natrid function to interpolate my data. I was wondering if there's any way to weigh the sample size in the interpolation. So for example, if I have 5 datapoints with 5 values, and the number of samples used to generate the data at each point is 1,4,99,12,3 (respectively), then I would like point number 3 (with 99 samples) to have the strongest "weight" on the interpolation, and point 1 the weakest.
>
> Thanks,
>
> Yuval
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Received on Mon Jul 21 2008 - 14:38:11 MDT
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