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), -2:0.3:2)
    h2 = Hist1D(randn(10^4), -2:0.3:2)
    h3 = Hist1D(randn(10^3) .+ 0.5, -2:0.3:2)
end
-2.01.9
  • edges: -2.0:0.3:1.9
  • bin counts: [5, 12, 29, 50, 51, 88, 109, 139, 104, 108, 99, 74, 46]
  • maximum count: 139
  • total count: 914
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