1D Histograms

For 1D histograms, various numerical methods are provided such as computing means and sigmas, finding maxima, fitting, rebinning, integrating ...
The example below shows creating and filling a one dimensional histogram of 100 bins from $-5.$ to $+5.$ to create a Gaussian normal distribution with errors :

#include "histos.h"
// ...
Histo H(-0.5,0.5,100);
H.Errors();
for(int i=0;i<25000;i++) {
  double x = NorRand();
  H.Add(x);
}
H.Print(80);