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2D histogram plot for N x M matrix

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BeeTiaw on 6 Feb 2020
Commented: Sangjae on 13 Aug 2020
Hi, I wanted to do make a 2D histogram, something like below
My raw dataset plot is shown below; which I created using the following command
plot(X,Level); xlabel('X');ylabel('Level')
The plot basically plotting a [31 x 390] matrix called 'Level' against vector 'X'. (both data are attached in two separate txt files).
How do I generate a 2D plot using this dataset? I wanted to have a 2D plot like in the first figure
Or anything else that can show 'the number of data points for every 'Level' vs X and plotted against X and Level''


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Accepted Answer

Adam Danz
Adam Danz on 6 Feb 2020
Edited: Adam Danz on 6 Feb 2020
histogram2() creates a bivariate histogram plot that you can apply to your data.
Here's a demo that applies this plot to noisy gaussian curves. Pay attention the variables x and y which will be inputs to histogram2.
Produce the noisy data. You'll already have the data; you just need to make sure it has the same general shape as these x and y variables.
% Produce noise gaussian data
% x is a 1xm or mx1 vector that defines the x values for each curve.
% y is a mxn matrix of m y-values for n curves.
gausFcn = @(X,C,A,S)exp(-(X - C).^2/(2*S^2)) * A; % guassian function (x, center, amp, sigma)
x = 0 : 0.5 : 3000; % The x values for all curves
nCurves = 20; % Number of curves to produce
y = zeros(numel(x),nCurves); % We'll store the y data here
% Produce n noisy curves
for i = 1:nCurves
y(:,i) = gausFcn(x,randi(100)+1200,(rand(1)+1)*4+10,randi(120)+500) + sin(linspace(0,randi(20)*pi,numel(x)));
% Show the noisy data
sph(1) = subplot(2,1,1);
grid on
Apply the bivariate histogram
% First, replicate the x values so there's 1 x value for each y value.
xRep = repmat(x, 1, nCurves); % for row vectors; if col vec: repmat(x, nCurves, 1)
% apply the bivariate historgram
sph(2) = subplot(2,1,2);
h = histogram2(xRep(:),y(:),'DisplayStyle','tile','ShowEmptyBins','on');
Note, if you'd like it to look like the image you shared, set colormap to gray but reverse the order of colors.
See the histogram2() link to learn how to set the x and y grid in the bivariate histogram.

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More Answers (1)

BeeTiaw on 7 Feb 2020
Thanks! it works!


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