griddedInterpolant error "Interpolation requires at least two sample points for each grid dimension."
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I'm systematically getting this error trying to use griddedInterpolant. Here's a simple example:
bp1 = [0:1:10];
bp2 = [5:0.5:10];
bp3 = [2:0.1:3];
tv = bp1.*bp3+bp2.^2
f=griddedInterpolant(bp1,bp2,bp3,tv)
But I get the error:
Error using griddedInterpolant
Interpolation requires at least two sample points for each grid dimension.
What have I missed?
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답변 (2개)
Voss
2023년 12월 1일
The points (bp1, bp2, bp3) in 3d space do not form a grid. They are equally-spaced points along a line segment from (0,5,2) to (10,10,3).
You can use ndgrid to construct a set of points that form a grid from your bp1, bp2, bp3 vectors.
bp1 = 0:1:10;
bp2 = 5:0.5:10;
bp3 = 2:0.1:3;
% tv = bp1.*bp3+bp2.^2;
[BP1,BP2,BP3] = ndgrid(bp1,bp2,bp3);
TV = BP1.*BP3+BP2.^2;
f=griddedInterpolant(BP1,BP2,BP3,TV)
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Stephen23
2023년 12월 3일
Either call RESHAPE on each column of data.
Or simply call SCATTEREDINTERPOLANT and let it do the work for you.
Star Strider
2023년 12월 3일
The interpn function could be an option. You will need to experiment with the ndgrid function to determine how best to reshape the first 5 columns of your data to conform to it (if they indeed need reshaping — they may not) and then do the interpolation. I am not certain how easy it would be to make sense of the results, much less plot them, since everything in this universe is limited to 3 spatial dimensions and time, last I heard.
If you only want to interpolate specific points or ranges of points within the limits of the original vectors (so not extrapolating), interpn could do what you want.
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