# How do I colour different segments of a bar within a bar graph different colours (red or green) depending on if data has reached a threshold value

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Archie Baxter el 5 de Abr. de 2023
Comentada: Archie Baxter el 10 de Abr. de 2023
Im trying to get a bar graph with force on y axis and weight on x axis. However, I want each bar to have segments of red and green depending on whether a threshold value has been met for positional data that was also recorded. How would this be done
% Create bar graph
figure;
hold on;
for i = 1:length(weights)
weight = weights{i};
force_vals = force_data{i};
zcom_vals = zcom_data{i};
for j = 1:length(force_vals)
force = force_vals(j);
zcom = zcom_vals(j);
if zcom > zcom_threshold
bar(i, force, 'FaceColor', 'g');
else
bar(i, force, 'FaceColor', 'r');
end
end
end
I can attach or explain any other code or data that may help if it is needed.
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dpb el 5 de Abr. de 2023
Knowing the precise content of the cell arrays would help, indeed. Attaching small sample dataset always helps folks actually do something specifically addressing the problem. As is, there's somewhat of a dilemma figuring out what you want -- whether the code is working as intended other than colors or what. Specifically, there are going to be length(weights)*length(force_vals) separate bars drawn with the nest loops but each is plotted only at the position of the outer loop? How many bars are there supposed to be, total?
If I understand the desire correctly, there would apparently would be only #weights bars, but each would consist of two segments, the section below the threshold and any above in red? It would seem that zcom_threshold is a constant, in which case that level will be the same for all? If this is the case and it is N bars with two segments each, the use the 'stacked' option where the input array to bar() will be a 2-row array of #weights columns; the bottom row the threshold value (constant) and the top the difference between the force and the threshold. But, this is an (how educated, I'm not sure) guess only...

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### Respuestas (1)

Mathieu NOE el 6 de Abr. de 2023
hello
maybe this ? (simple demo)
% stacked plot with threshold (lower => green, above th => red)
weigths = (1:10);
force = 2+weigths;
force_threshold = 6;
y = zeros(2,numel(force));
a = min(force,force_threshold); % force below or equal to force_threshold
b = force - a; % remaining portion above force_threshold
y = [a;b]; % stack both arrays
h = bar(y', 'stacked');
set(h,{'FaceColor'},{'g';'r'});
xlabel('Weights')
ylabel('Force')
##### 3 comentariosMostrar 1 comentario más antiguoOcultar 1 comentario más antiguo
Mathieu NOE el 7 de Abr. de 2023
hello @dpb
I admit I didn't pay too much attention to some details in the original post as , as you, I coudn't figure out how the whole thing was supposed to work
so I opted for what I thought was a simple but close enough valuable answer
all the best
Archie Baxter el 10 de Abr. de 2023
Sorry for the slow response, i have been away. This is something along the lines of what I was looking for thanks. However, there were four roboitc gripper types that i tested in the simulation, for each of these grippers the weight that was picked up during the simulation ranged from 1,2,5,10,20,30,50,100,200 kg. For each of these weights, a range of forces was applied to work out the minimum force required to lift the weight, therefore The data recorded is the force applied and the max z-CoM position of reach trial. The metric of success for the trial was a minimum z-CoM value and therefore i wanted to portray this in the bar graph whereby and force applied that did not exceed the z-CoM threshold was red, and if it was a successful trial, this was green. @dpb @Mathieu NOE

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