📄 hist2d.m
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% hist2d_hdr ([x,y], xbins, ybins, norm)
% Produce a 2D histogram.
%
% Points xi,yi are stored in a 2-column array.
% If ybins is missing, use xbins.
% If bins is a scalar, use that many bins.
% If bins is a vector, it represents bin edges.
% Author: Paul Kienzle
% This code is public domain.
% Modified by: Henry Douglas Rodrigues
function [x,y,z] = hist2d(M,xbins,ybins)
if nargin < 1 && nargin > 3,
fprintf('[nn,xx] = hist2d (M,x,y)');
end
lo = min(M);
hi = max(M);
if nargin == 1
ybins = 10;
xbins = 10;
elseif nargin == 2
ybins = xbins;
end
% If n bins, find centers based on n+1 bin edges
if isscalar(xbins)
xbins = linspace(lo(1),hi(1),xbins+1);
xbins = (xbins(1:end-1)+xbins(2:end))/2;
end
if isscalar(ybins)
ybins = linspace(lo(2),hi(2),ybins+1);
ybins = (ybins(1:end-1)+ybins(2:end))/2;
end
xcut = (xbins(1:end-1)+xbins(2:end))/2;
ycut = (ybins(1:end-1)+ybins(2:end))/2;
xidx = lookup(xcut,M(:,1))+1;
yidx = lookup(ycut,M(:,2))+1;
counts = sparse(xidx,yidx,1,length(xbins),length(ybins));%,'sum');
% Sa韉as
x = xbins;
y = ybins;
z = (100*full(counts)./sum(sum(counts))).';
end
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