present 2 histograms in the same X axis values

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sani on 25 Mar 2020
Commented: Adam Danz on 27 Mar 2020
I'm trying to plot 2 histograms in the same x axis. they suppose to have common peaks and I'd like to present them at the same scale so the peaks will overlap. is theres a way to do it?
this is the result I want to achive, but in here I used histcount and it made some other troubles.
sani on 26 Mar 2020
Edited: sani on 26 Mar 2020
yes this image shows what I want to achive more or less, I used histcounts and then I just plot semilog plot.
my data is channel numbers that I need to bin first and then to plot them. the problem is when I'm using Histogram the peaks that suppose to be in the same location are moving (since one data set is smaller then the other and then it need less binning)
I'd like to make 2 overlay histograms from the 2 data sets and that the peaks will be in the same location (as I showed in the image)
I tried to use normalization, but maybe I'm missing something, this is what I got. I need both of the histograms to contain the same number of bins and that the peaks but when I wried to set the bins number I got a mess

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Answers (1)

sani on 26 Mar 2020
Edited: Adam Danz on 27 Mar 2020
I'll try to explain myself better.
I have a detector that products text file of channels, from that data I'd like to create counts Vs. energy spctrum (that is basicly histogram og the data). from the same detector I have 2 data sets, which have the same X axis values but different y valuse (different counts per channel). I want to present them one over the other for comparison. the total channel number is 16384.
what I did that partialy worked: I used histcounts on the data file and then I plot it. the problem is that I lost the energy calibration (lost the real channel of incidence by binning). this is the code of what I did:
[X,edges] = histcounts(,16384); %gamma spectrum - single mode (log scale)
Z = histcounts(Ge_energy,edges);
hold on
semilogy(Z,'b') %gamma spectrum - coincidence mode (log scale)
xlabel('Energy [keV]')
I tried also to use histogram but I'm sure Iv'e missed something out, this the code by the advice of Akira Agata:
figure (2)
h1 = histogram(;
hold on
h2 = histogram(Ge_energy);
h1.Normalization = 'probability';
h1.BinWidth = 1;
h2.Normalization = 'probability';
h2.BinWidth = 1;
for some reason when I present it in log scale the shape is not make any sence.
Adam Danz
Adam Danz on 27 Mar 2020
I'm also struggling a bit to understand the end goal but from what I understand, you have two data sets, one with n values and the other with m values (n ~= m) and you'd like the histogram bins to match. Is that correct?
If so, try this:
combinedData = [data1(:); data2(:)];
edges = linspace(min(combinedData), max(combinedData), 20); % the 20 is the number of bins
histogram(data1, edges);
hold on
histogram(data2, edges);

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