doc/master/hist001__TH1__fillrandom__uhi_8py.html

import numpy as np

import ROOT


np.random.seed(0)


# Create a one dimensional histogram and fill it with a gaussian distribution

h1d = ROOT.TH1D("h1d", "Test random numbers", nbinsx=200, xlow=0.0, xup=10.0)


# "gaus" is a predefined ROOT function. Here we are filling the histogram with

# 10000 values sampled from that distribution.

values = np.random.normal(0.0, 1.0, 10000)

h1d.Fill(values)


# Open a ROOT file and save the histogram

with ROOT.TFile.Open("fillrandom_py_uhi.root", "RECREATE") as myfile:

    myfile.WriteObject(h1d, h1d.GetName())

TRangeDynCast
ROOT::Detail::TRangeCast< T, true > TRangeDynCast
TRangeDynCast is an adapter class that allows the typed iteration through a TCollection.
Definition TCollection.h:358