Having multiple different bins in a histogram that don't overlap

This is some test code as I try to figure out histograms.

Is there anyway to make it so all the colors are separate? Code is below

clear
clc 

sensorVoltage = 5*rand(12,100)%test array - normally i would have voltage data

figure;

subplot(1,2,1)

histogram(sensorVoltage(1,:),'BinWidth', 0.1,'FaceColor','c','DisplayName','Lights On, No LED','DisplayStyle', 'bar')
hold on
histogram(sensorVoltage(2,:),'BinWidth', 0.1,'FaceColor','m','DisplayName','Lights On, IR LED','DisplayStyle', 'bar')
histogram(sensorVoltage(3,:),'BinWidth', 0.1,'FaceColor','r','DisplayName','Lights On, Red LED','DisplayStyle', 'bar')
histogram(sensorVoltage(4,:),'BinWidth', 0.1,'FaceColor','g','DisplayName','Lights On, Green LED','DisplayStyle', 'bar')
histogram(sensorVoltage(5,:),'BinWidth', 0.1,'FaceColor','b','DisplayName','Lights On, Blue LED','DisplayStyle', 'bar')
histogram(sensorVoltage(6,:),'BinWidth', 0.1,'FaceColor','y','DisplayName','Lights On, Yellow LED','DisplayStyle', 'bar')

title('IR Voltage with Lights ON')%Lights on Histogram
grid on
legend('show')
ylabel('Number of Readings')
xlabel('Voltage (V)')
hold on

subplot(1,2,2)

histogram(sensorVoltage(1,:),'BinWidth', 0.1,'FaceColor','c','DisplayName','Lights Off, No LED','DisplayStyle', 'bar')
hold on
histogram(sensorVoltage(2,:),'BinWidth', 0.1,'FaceColor','m','DisplayName','Lights Off, IR LED','DisplayStyle', 'bar')
histogram(sensorVoltage(3,:),'BinWidth', 0.1,'FaceColor','r','DisplayName','Lights Off, Red LED','DisplayStyle', 'bar')
histogram(sensorVoltage(4,:),'BinWidth', 0.1,'FaceColor','g','DisplayName','Lights Off, Green LED','DisplayStyle', 'bar')
histogram(sensorVoltage(5,:),'BinWidth', 0.1,'FaceColor','b','DisplayName','Lights Off, Blue LED','DisplayStyle', 'bar')
histogram(sensorVoltage(6,:),'BinWidth', 0.1,'FaceColor','y','DisplayName','Lights Off, Yellow LED','DisplayStyle', 'bar')

title('IR Voltage with Lights Off')%Lights off Histogram
grid on
legend('show')
ylabel('Number of Readings')
xlabel('Voltage (V)')
hold off

Answer 1

[Walter Roberson]

Are you looking for bar with the 'stacked' option?

Or are you looking for bar() with groups?

Generally speaking, there are two phases to creating histogram plots: first do the binning, and then draw the bars. histogram() combines both of those together but is not as flexible in plotting.

Perhaps you should use histcounts and then bar() to get the visual results you want.

Answer 2

[Voss]

Maybe something like this?

sensorVoltage = 5*rand(12,100)%test array - normally i would have voltage data

sensorVoltage = 12×100

0.4177 4.0336 0.7738 2.2657 0.6297 3.4554 1.4350 0.8823 1.6507 4.4461 4.0671 1.5809 0.3994 0.1572 1.5080 4.7796 0.0623 3.5689 1.5176 3.0059 0.6806 0.0297 1.8081 2.4819 3.4668 0.9644 4.5350 0.1630 2.1472 4.8051 4.5674 4.7495 1.9615 1.7357 4.9564 0.6896 0.2801 4.5186 3.3028 4.2793 2.9565 0.3077 3.9920 3.6406 0.1744 4.9976 0.9623 0.0547 4.9393 1.0070 4.8242 0.5600 3.2329 1.0574 4.4414 0.8714 4.6885 3.2152 1.9553 0.8355 0.7146 1.6227 1.7269 0.4718 4.9787 1.3865 0.6758 2.9102 2.6503 3.1987 3.5453 1.2965 4.1426 4.5959 1.6312 0.1613 4.3101 3.8613 0.9238 2.4112 4.2390 2.6644 1.6766 3.2454 3.1984 1.7240 3.8949 2.8660 3.5085 1.5469 4.4271 3.5501 1.9681 0.4199 0.7312 2.5570 0.8185 1.4522 1.7374 1.6708 2.4930 1.3464 3.3989 0.9725 4.0918 0.4835 0.3801 4.8589 4.2190 0.7245 1.9211 3.2753 1.5029 2.7217 1.8622 1.2038 4.8075 1.8973 3.7876 0.2182 3.1214 2.9809 0.3764 0.0739 0.6571 1.9739 2.7454 2.2941 4.9073 2.1906 1.6624 0.6427 1.6555 1.1709 3.6305 0.6217 1.2719 0.5093 1.7512 2.0057 2.8033 4.9083 3.7687 0.7544 1.5473 4.6915 0.8330 1.2667 3.8344 3.8640 0.3585 1.2317 0.6557 2.4890 4.6950 3.5630 0.0037 3.8812 0.5289 0.9364 3.8769 1.6904 3.5744 2.5837 2.4207 2.1838 2.4696 3.5698 0.4420 1.5855 1.5856 4.5014 0.6619 3.4445 4.1809 0.9987 4.8214 0.5330 0.2829 2.1901 1.3552 3.3292 4.6375 2.0638 1.4775 4.4832 0.6217 3.7274 3.4742 4.6944 0.1645 0.8138 0.4521 4.1572 3.5765 4.7408 3.5759 2.9129 3.4656 3.5928 3.3173 3.8935 4.6737 1.1281 2.3501 4.6219 3.7462 4.0470 0.6207 3.0156 2.7085 3.7970 3.2473 4.8349 2.6039 2.6848 2.5552 1.6330 4.0485 3.1603 2.5413 2.2547 1.4336 4.4223 0.1992 1.7133 2.7647 0.4247 0.2607 1.4393 3.6734 1.0923 2.0151 2.8071 3.7071 2.9161 1.9900 1.0419 0.5632 3.7412 2.1800 2.4522 4.8973 0.1430 4.8757 2.3771 4.6977 1.3330 2.8093 3.3505 2.9989 2.0797 2.2876 4.2934 2.9602 2.7798 1.6620 4.5379 1.9217 3.0018 2.7762 4.2434 1.9779 4.8598 2.3703 2.5142 0.7387 0.0752 0.4309 1.7884 0.3769 0.8533 2.5493 4.1992 2.8035 0.9763 4.7557 1.0965 3.9335 1.5346 3.1690 4.6237 3.4061 1.2939 3.9410 0.2454 2.2594 1.6766 1.6549 4.1183 0.5947 1.6874 3.8147 0.5080 3.5882 0.2900 3.1513 1.1278 4.3796 0.1745

figure('Position',[10 10 600 1000]);

colors = repmat('cmrgby',1,2);
names = "Lights " + ["On","Off"] + ", " + ["No";"IR";"Red";"Green";"Blue";"Yellow"] + " LED";

tiledlayout(6,2,'TileIndexing','columnmajor')
h = gobjects(6,2);

for ii = 1:12
    
    nexttile()
    
    h(ii) = histogram(sensorVoltage(ii,:),'BinWidth', 0.1,'FaceColor',colors(ii),'DisplayName',names(ii),'DisplayStyle', 'bar');
    
    grid on
    if ii <= 6
        ylabel('Num. Readings')
    end
    m = mod(ii,6);
    if m == 1
        if ii == 1
            state_str = 'ON';
        else
            state_str = 'Off';
        end
        title(sprintf('IR Voltage with Lights %s',state_str))
    elseif m == 0
        xlabel('Voltage (V)')
    end
    
end

leg = legend(h(:),'NumColumns',2);
leg.Layout.Tile = 'north';