using FHist, Statistics, Plots
Hist1D
Let's generate three dummy histograms sampled from three different distributions:
unit Gaussian with 1000 points
unit Gaussian with 10000 points
unit Gaussians with 1000 points and a mean of 0.5
begin
h1 = Hist1D(randn(10^3); binedges = -2:0.3:2)
h2 = Hist1D(randn(10^4); binedges = -2:0.3:2)
h3 = Hist1D(randn(10^3) .+ 0.5; binedges = -2:0.3:2)
end
- edges: [-2.0, -1.7, -1.4, -1.1, -0.8, -0.5, -0.2, 0.1, 0.4, 0.7, 1.0, 1.3, 1.6, 1.9]
- bin counts: [12.0, 14.0, 27.0, 52.0, 58.0, 76.0, 103.0, 124.0, 108.0, 113.0, 98.0, 68.0, 59.0]
- maximum count: 124.0
- total count: 912.0
begin
Plots.plot(h1; size=(600, 500), legend=:topleft)
Plots.plot!(h3)
end
Hist2D
begin
h2d = Hist2D((randn(10000), randn(10000)))
p2d = plot(h2d)
end