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transform bar chart with separate bars (for each value of y) to bar chart with overlapping bars

1 visualización (últimos 30 días)
Hi. I need to transform this figure:
load matrix.mat
matrix = matrix(5:7,:);
figure();
cm = [1,0,0; 0,0,1; 0,1,0; 1,0,0.52];
hbh = barh(matrix(:,1), matrix(:,[2 3 4 5]));
for k = 1:numel(hbh)
hbh(k).FaceColor = cm(k,:);
hbh(k).EdgeColor = [0,0,0];
end
into this one:
I tried the following way but I don't get the same result.
figure
hbh = barh(matrix(:,1), matrix(:,[2 3 4 5]),'stacked');
cm = [[1,0,0]; [0,0,1]; [0,1,0]; [1,0,0.52]];
for k = 1:numel(hbh)
hbh(k).FaceColor = cm(k,:);
hbh(k).EdgeColor = [0,0,0];
end
  6 comentarios
Rik
Rik el 21 de Ag. de 2023
The reason I included the max call was for robustness. If at one point a negative diff occurs, I would like to prevent unexpected behavior.
the cyclist
the cyclist el 21 de Ag. de 2023
I understand. But after the sort, a negative diff can't occur. (But if I am wrong about the sorting, then the max would be required, as you state.)

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Respuesta aceptada

the cyclist
the cyclist el 20 de Ag. de 2023
load matrix
M = matrix(:,2:end);
[sortedM,sortingIndex] = sort(M,2);
cm = [[1,0,0]; [0,0,1]; [0,1,0]; [1,0,0.52]];
figure
hold on
for mi = 1:height(sortedM)
hbh = barh(matrix(mi,1), [sortedM(mi,1),diff(sortedM(mi,:),1,2)],'stacked');
for k = 1:width(sortedM)
hbh(k).FaceColor = cm(sortingIndex(mi,k),:);
end
end
  2 comentarios
the cyclist
the cyclist el 20 de Ag. de 2023
I stuck to answering what you asked for, but be aware that this method of plotting bars "in front of each other" can be somewhat deceptive, from an information point of view. For example, the green bar at 68 is nearly the same value as the blue bar, but the visual impact is tiny. (I think that's the reason @Dyuman Joshi thought you didn't want it at all.)
It would take more work, but you might want to consider using the method of overlaying bars that is described on this documentation page.
Alberto Acri
Alberto Acri el 21 de Ag. de 2023
Thank you @the cyclist. That is the result I wanted.
Right now I prefer to use the graph with the bars overlaid with the code you provided because I have the desired values on the x-axis. Of course, it is not easy to read, in fact I will modify it with the documentation you attached.
I asked the question here because I have a problem with the visualization. If you want you can take a look at it.

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