Apply colormap coloring to a particular contour to indicate imaginary component
5 visualizzazioni (ultimi 30 giorni)
Mostra commenti meno recenti
I have a set of data X, Y, Z, related via a function
, where the data stored in Z are complex valued. I want to make a contour plot of this data at a precise value output value, i.e. the contour: all x and y such that
. The typical part of the contour plot will just be contour(X,Y,real(Z),[z z]). However, I want the actually coloring of the contour line via a colormap for the imaginary part. So, for example, if the imaginary part is more negative the line will be blue in that region whereas if the imaginary part is more postive it will be more red.
2 Commenti
Walter Roberson
il 28 Feb 2024
That would require a line that does not have constant color, since you can have sections that have the same real(Z) value but which can vary completely in imaginary component.
Risposta accettata
DGM
il 28 Feb 2024
Modificato: DGM
il 28 Feb 2024
It can be done, but not with contour() or plot().
% some fake data
x = linspace(-1,1,100);
y = x.';
z = x.*y + sqrt(x) - sqrt(y);
% get the level curves of real(z)
[cc,hh] = contour(x,y,real(z),20);
[~,allcontours] = getContourLineCoordinates(cc);
% redraw everything again
figure
hold on;
zrange = [0 0];
for k = 1:numel(allcontours)
% interpolate to find imag(z) along this level curve
thisx = allcontours{k}(:,1);
thisy = allcontours{k}(:,2);
thisz = interp2(x,y,imag(z),thisx,thisy);
% accumulate colorscale limits
zrange(1) = min(zrange(1),min(imag(z(:))));
zrange(2) = max(zrange(2),max(imag(z(:))));
% draw the line using patch(), since line() can't do variable color
patch([thisx;NaN],[thisy;NaN],[thisz;NaN],'EdgeColor','interp','LineWidth',1);
end
clim(zrange)
The rest will be setting up your preferred colormap and such.
This example uses Adam's contour extraction tool from the FEX (attached):
2 Commenti
Più risposte (0)
Vedere anche
Categorie
Scopri di più su Contour Plots in Help Center e File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!

