Using a colormap to match a contour to a histogram

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I am regenerating cscan TOF data ( contourf(xscale, yscale, cscan, 40,'linestyle','--') ) and I would am trying to display a histogram of the data such that the bar colors will be the same a shown in the histogram (say red in the contour = 400 ns would have the histogram bar at 400 also be red). Is there an easy way to assign the bars using the colormap?

Accepted Answer

Pete Marsh
Pete Marsh on 3 Oct 2019
Thanks for the help. That's what I'm trying do, although this is kind of a brute force way of doing it. I was sort of hoping that there would be a way to set the color map directly to the histogram. I guess I'll need to make a function for this.

More Answers (1)

Jess Lovering
Jess Lovering on 3 Oct 2019
Edited: Jess Lovering on 3 Oct 2019
Here is an example of what I think you are trying to do. It doesn't calculate the bar values for the contours - I assume you have an associated value for each contour already available. Please let me know if this example is what you are looking for.
figure
subplot(2,1,1)
Z = peaks;
[M c]=contour(Z);
cmap = colormap;
crange = caxis;
cmin = crange(1);
cmax = crange(2);
m = length(cmap);
subplot(2,1,2)
hold on
contour_levels = -6:8;
bar_vals = rand(1,length(contour_levels)); % I assume you have these calculated
for ii = 1:length(contour_levels)
contour_i = contour_levels(ii);
cp = (contour_i-cmin)/(cmax-cmin);
ci = round((length(cmap)-1)*cp)+1;
color(ii,1:3) = cmap(ci,:);
bh = bar(contour_levels(ii),bar_vals(ii))
bh.FaceColor = cmap(ci,:);
end

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