Plot a 3D matrix (1 dependent & 2 independent variables)
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I have a matrix with 2 independent variables (X and y) which have given data. I want to plot this data with X and Y (in the X and Y dimensions) and the corresponding data point in the Z direction so that it appears like a contour map with the independent variables giving the location and the dependent giving the magnitude. Does anyone have an idea how I could do this? Cheers
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Cris LaPierre
2021 年 1 月 4 日
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Cris LaPierre
2021 年 1 月 4 日
編集済み: Cris LaPierre
2021 年 1 月 4 日
Part of the issue with your visualization is that there are so few points. It makes it hard to see. If changing alpha works for you, that's good. Another option might be to use interpolation to increase the number of points, giving more of a surface appearance to your figure. this can be done with scatteredInterpolant. Just be careful, as interpolation might not result in accurate results.
load lowresmesh.mat mlowr
% Sortrows so
mlowr = sortrows(mlowr,[1 2 3]);
F = scatteredInterpolant(mlowr(:,1),mlowr(:,2),mlowr(:,3));
[xq,yq] = meshgrid(linspace(min(mlowr(:,1)),max(mlowr(:,1)),15),linspace(min(mlowr(:,2)),max(mlowr(:,2)),9));
zq = F(xq,yq);
surf(xq,yq,zq,'FaceColor','interp')
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