multiple histogram color scheme
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Maggie liu
am 14 Jul. 2021
Kommentiert: Star Strider
am 14 Jul. 2021
Hi,
I'm trying to plot multiple histograms on one plot, but I would like to have the overlapped bits shown as the oringal color (currently I have faceAlpha set to 0.3, so the colors are all mixed together when they overlap).
How can I do this? thanks!
This is what I currently have
hold on
h1 = histogram(data1,Edges,...,'EdgeColor',[0 0.4470 0.7410],...
'FaceColor',[0 0.4470 0.7410],'FaceAlpha',0.3,'LineWidth',1.5);
h2 = histogram(data2,Edges,...,'EdgeColor',[0.4940 0.1840 0.5560],...
'FaceColor',[0.4940 0.1840 0.5560],'FaceAlpha',0.3,'LineWidth',1.5);
h3 = histogram(data3,Edges,...,'EdgeColor',[0.4660 0.6740 0.1880],...
'FaceColor',[0.4660 0.6740 0.1880],'FaceAlpha',0.3,'LineWidth',1.5);
2 Kommentare
dpb
am 14 Jul. 2021
"plot multiple histograms on one plot, but I would like to have the overlapped bits shown as the oringal color"
I don't follow precisely what you envision here -- what is "original" color defined to be--you have a specific color for each of the three histograms, which one is the "original" one?
Akzeptierte Antwort
Star Strider
am 14 Jul. 2021
Bearbeitet: Star Strider
am 14 Jul. 2021
Since all the edges appear to be the same, it might be easiest to get the outputs of the histogram calls, however instead using histcounts, concatenate them into one matrix, and use the bar function to plot them as grouped bars as described in Display Groups of Bars
Example —
Edges = (1:6)/10;
Ctrs = mean(diff(Edges))/2+Edges(1:end-1);
N1 = histcounts(rand(1,100),Edges);
N2 = histcounts(rand(1,100),Edges);
N3 = histcounts(rand(1,100),Edges);
Nmtx = [N1; N2; N3];
figure
bar(Ctrs, Nmtx)
xticks(Ctrs)
This of course assumes that ‘Edges’ are regularly spaced.
EDIT — (14 Jul 2021 at 20:08)
figure
bar(Ctrs, Nmtx, 'stacked')
xticks(Ctrs)
.
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