Plotting bivariate binned means using heatmap
[N,~,~,binX,binY] = histcounts2(RPM, Throttle, binEdgesRPM, binEdgesThrottle)
ind = sub2ind(size(N),binX,binY);
binMeans = reshape(arrayfun(@(i)mean(Fuel(ind==i)), 1:numel(N)),size(N));
binCentersRPM = binEdgesRPM(2:end)-(binEdgesRPM(2)-binEdgesRPM(1))/2;
binCentersThrottle = binEdgesThrottle(2:end)-(binEdgesThrottle(2)-binEdgesThrottle(1))/2;
heatmap(binCentersRPM, binCentersThrottle, binMeans.')
... using imagesc
imagesc(binEdgesRPM, binEdgesThrottle, binMeans')
Plotting bivariates binned counts
histogram2() or histcounts2() + heatmap()
filename = 'Scarface_tune_run2.csv';
Raw = xlsread(filename);
RPM = Raw(:,4);
Throttle= Raw(:,5);
Fuel = Raw(:,11);
Map1 = cat(2,RPM,Throttle,Fuel);
topEdge = 4800;
botEdge = 0;
numBins = 24;
binEdgesRPM = linspace(botEdge, topEdge, numBins+1);
binEdgesThrottle = linspace(0, 100, 11);
histogram2(RPM, Throttle, binEdgesRPM, binEdgesThrottle, 'DisplayStyle','tile','ShowEmptyBins','on')
Or
N = histcounts2(RPM, Throttle, binEdgesRPM, binEdgesThrottle)
heatmap(binEdgesRPM, binEdgesThrottle,N)
Best Answer