Making a histogram with two variables in the same graph
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Kerr Beeldens
am 13 Dez. 2019
Bearbeitet: Adam Danz
am 17 Mai 2022
I have two variables, z1 and z2, which are two vectors with 1000 enteries. They represent distances calculated by two algoritmes for the traveling salesman problem.
Both vectors have values ranging from roughly 12 000 to 19 000 (km). I want a histogram showing both variables, with bins starting from 12 000 ending at 19 000 with a range of 100 per bin. the variables should both be a different color (lets say z1 red and z2 blue).
How could I do this?
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Jan
am 17 Mai 2022
Another way of solving this is to create the histogram counts separately and plot the results with a bar() graph.
binEdges = [12000:100:19000];
histogr = [histcounts(z1, binEdges); ...
histcounts(z2, binEdges)];
bar(binEdges(1:end-1).', histogr.')
This way you have several ways of presenting the data, that the histogram function doesn't provide.
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Image Analyst
am 13 Dez. 2019
You can try this:
% Create sample data.
z1 = 7000 * randn(1, 1000) + 12000;
z2 = 7000 * randn(1, 1000) + 12000;
% Create histogram
subplot(2, 1, 1);
binEdges = 12000:100:19000;
histObject = histogram2(z1, z2, binEdges, binEdges);
xlabel('z1 value', 'fontSize', fontSize);
ylabel('z2 value', 'fontSize', fontSize);
zlabel('Count', 'fontSize', fontSize);
title('100 pairs of distances', 'fontSize', fontSize);
subplot(2, 1, 2);
counts = histObject.Values;
imshow(counts);
colorbar
colormap(hsv(256));
title('Counts as an image', 'fontSize', fontSize);
but actually, since most bins have only 1 count in them, you may just want to use scatter() instead of histogram to see if there's a pattern.
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