I have data in the following format : [X1 X2 F] where X1, X2 and F are all column vectors. F is a function evaluated on X1 and X2. I do not know what function it is, I only have the end result.
I successfully plotted my data using
% trainset contains the data as presented above scatter3(trainset(:,1),trainset(:,2),trainset(:,3),30,trainset(:,3)); % I use the value of F for the coloring of the datapoints
However I would prefer a real surface plot, using surf(). But the format of my data is not suited to surf, apparently.
I thought about using meshgrid to make the grid matrices for X1 and X2, but since I don't know the function F, I won't be able to evaluate it on those grids ; I'm stuck with the dataset I'm provided with, in which F is already evaluated for some pairs of X1 and X2.
I might be missing something obvious but I really don't see how to get a surface plot with that kind of "blackbox" data.
Thanks in advance for your insights!
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Use griddata(). Or use triscatteredinterp to create an interpolator and interpolate it over a mesh created with ndgrid()
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