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using FHist, Statistics, Plots

Hist1D

Let's generate three dummy histograms sampled from three different distributions:

  1. unit Gaussian with 1000 points

  2. unit Gaussian with 10000 points

  3. 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
-2.01.9
  • 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: [9.0, 12.0, 26.0, 41.0, 62.0, 91.0, 107.0, 119.0, 106.0, 116.0, 91.0, 80.0, 62.0]
  • maximum count: 119.0
  • total count: 922.0
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