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copied!<p>Perhaps there are better solutions out there but I can come out with one here. Essentially, I'm creating an RGB representation of the image to show it. So I picked a colormap with the number of colors I wanted at first. Then, from the data, convert them to index and use <code>in2rgb()</code> to get the RGB image. Then, I can get the bin size of each color and label the color bar appropriately.<img src="https://i.stack.imgur.com/9T1k8.png" alt="An example plot"></p> <pre><code>% Randomly generate some data for demonstration A = [1 nan nan; 1 2 3; 4 5 6]; B = [nan 0 nan; 4 3 2; 1 2 1]; C = (A - B) ./ ((A + B) ./ 2); % Number of colors you want to use ncolor = 8; data_colormap = [jet(ncolor); 1 1 1; 0 0 0; 0.5 0.5 0.5]; data_range = [min(C(:)) max(C(:))]; data_ind = (C - data_range(1)) / (data_range(2) - data_range(1)) * (ncolor - 1) + 1; % Assign indices > ncolor for the special cases data_ind(isnan(A)) = ncolor + 1; % isnan(A) assign to white data_ind(isnan(B)) = ncolor + 2; % isnan(A) assign to black data_ind(isnan(A) & isnan(B)) = ncolor + 3; % isnan(A) + isnan(B) % Get the RGB representation img = ind2rgb(round(data_ind), data_colormap); imagesc(img) % Custom labels for the colorbar bin_size = (data_range(2)-data_range(1)) / ncolor; caxis([data_range(1) data_range(2) + 3*bin_size]) colormap(data_colormap) ax = colorbar; yticks = get(ax, 'YTick'); yticks = yticks(yticks < data_range(2)); yticklabels = num2cell(yticks); % Pad another 3 custom labels yticks = [yticks, data_range(2)+[bin_size 2*bin_size 3*bin_size]-0.5*bin_size]; yticklabels = [yticklabels 'isnan(A)', 'isnan(B)', 'both']; set(ax, 'YTick', yticks, 'YTickLabel', yticklabels) </code></pre>

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