• I have a 450*90 matrix of values
  • I want to sample the matrix at 100 random sample points
However, while my interp2 function runs without errors, my output results vector contains NaN values after the 90th index.
The code below results in me getting NaN for points after the 90th index of vals - why, and how do I correct it?
Shouldn't I be able to sample 1 point from the matrix, or 50, or 100, or 1000 points?
Code:
row_vect = 1:450;
col_vect = 1:90;
[X,Y] = meshgrid(col_vect, row_vect);
V = abs(rand(450,90));
Xq = row_vect(1:100);
Yq = randi(89, 1,100);
vals = interp2(X, Y, V, Xq', Yq');
Thanks

 Réponse acceptée

Torsten
Torsten le 26 Août 2015

2 votes

You try to extrapolate in Y-direction.
Read the description part for interp2 under
and you'll see why you get NaN for Y-values greater 90.
Best wishes
Torsten.

3 commentaires

macdommy74
macdommy74 le 26 Août 2015
Thanks Torsten ....your answer is exactly correct for my question .... however, I made a mistake in my question.
I will edit my original question.
All Y values should be within 1-90.
Torsten
Torsten le 26 Août 2015
Use
[X,Y] = meshgrid(row_vect, col_vect);
instead of
[X,Y] = meshgrid(col_vect, row_vect);
Best wishes
Torsten.
macdommy74
macdommy74 le 26 Août 2015
I think this worked - thanks a million!!

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Plus de réponses (1)

Walter Roberson
Walter Roberson le 26 Août 2015

2 votes

Your problem is your X not your Y. max(X(:)) is 90 because your first argument to meshgrid() is col_vec which is 1:90

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