Changing colorscale increments on a surface plot
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Rob
am 23 Sep. 2014
Kommentiert: Thomas Carter
am 15 Jun. 2021
I've got some data which ranges from 1 to around 1E-06 which I am plotting using the mesh function. I'm using the jet colormap which is fine but the color scales goes from 1 to 0.1 in steps of 0.1 and I want it go from 1 to 1E-09 or so in increments of one order of magnitude. i.e. colorscale goes, 1, 0.1, 0.01, 0.001, 1E-04 etc. This will give a broad range of color data and should be fairly intuitive to interpret, currently my surface is nearly all blue as it is not scaling the color.
Some googling suggesting using the set command, but I've not had any success.
I tried:
mesh(X,Y,Z) view(2)
aa = colorbar;
get(aa,'Ytick');
%This returns a vector of [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1]
%So then if we create a vector tt, with the desired YTick
tt = [1e-10,1e-09,1e-08,1e-07,1e-06,1e-05,1e-04,1e-03,1e-02,1e-01,1]
set(aa,'Ytick',tt);
But this doesn't appear to do anything, the colors on the graph stay the same. Any help which could set me on the right track would be greatly appreciated.
Thanks in advance Rob
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Akzeptierte Antwort
Mike Garrity
am 24 Sep. 2014
I'm afraid that the colormap is always applied as a linear function of the CData. Changing the ticks on the colorbar doesn't change anything about how the colormap is applied, it just changes the values which are displayed on the colorbar.
You've really got two options here.
One is to make your CData be a transformed version of your ZData
C = log10(Z);
mesh(X,Y,Z,C)
The other is to transform the colors in your colormap like so:
ncolorsin = 2048;
ncolorsout = 128;
c = jet(ncolorsin); % Get a big copy of jet
t = linspace(0,1,ncolorsout); % Create a linear ramp the size of the colormap we actually want
t2 = t.^10; % Apply whatever transform you like to the ramp
% Use that to scale the big linear colormap into the small stretched one.
c2 = c(1+floor((ncolorsin-1)*t2'),:);
colormap(c2); % Use that as the colormap
Both approaches have advantages and disadvantages.
3 Kommentare
Enrico Aymerich
am 1 Dez. 2020
Bearbeitet: Enrico Aymerich
am 1 Dez. 2020
Actually, the second option is also good, but if the transform is t.^10 the image tends to be saturated to low values (as Rob commented). It seems to work better with t2 = sqrt(t) or similar. I had a similar issue
Weitere Antworten (1)
Image Analyst
am 23 Sep. 2014
You can get up to 256 colors in a colormap
colormap(jet(256));
the default, which you're probably seeing is only 64.
3 Kommentare
Image Analyst
am 24 Sep. 2014
Not exactly sure what that means, but have you checked out the caxis() function?
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