2D Histogram Calculation 1.0

function histmat = hist2(x, y, xedges, yedges) Extract 2D histogram data containing the number of events of [x , y] pairs that fall in each bin of the grid defined by xedges and yedges. The edges are vectors with monotonically non-decreasing values.The code is optimized no loop inside, it can be useful in the case of large dataset. EXAMPLE events = 1000000; x1 = sqrt(0.05)*randn(events,1)-0.5; x2 = sqrt(0.05)*randn(events,1)+0.5; y1 = sqrt(0.05)*randn(events,1)+0.5; y2 = sqrt(0.05)*randn(events,1)-0.5; x= [x1;x2]; y = [y1;y2]; For linearly spaced edges: xedges = linspace(-1,1,64); yedges = linspace(-1,1,64); histmat = hist2(x, y, xedges, yedges); figure; pcolor(xedges,yedges,histmat'); colorbar ; axis square tight; For nonlinearly spaced edges: xedges_ = logspace(0,log10(3),64)-2; yedges_ = linspace(-1,1,64); histmat_ = hist2(x, y, xedges_, yedges_); figure; pcolor(xedges_,yedges_,histmat_'); colorbar ; axis square tight;

Requirements:	No special requirements
Platforms:	Matlab
Keyword:	Dataset,  Figure,  Linearly,  Linspace,  Pcolorxedgesyedgeshistmat,  Spaced,  Sqrt Randnevents
Users rating:	0/10