Basic functionality: examples on normalization and integration of pdfs, construction of cumulative distribution functions from monodimensional pdfs 
  
from __future__ import print_function
import ROOT
 
 
 
 
 
 
nset = {x}
 
 
 
 
xset = {x}
 
 
 
frame = 
x.frame(Title=
"cdf of Gaussian pdf")
 
 
c = 
ROOT.TCanvas(
"rf110_normintegration", 
"rf110_normintegration", 600, 600)
 
 
ROOT::Detail::TRangeCast< T, true > TRangeDynCast
TRangeDynCast is an adapter class that allows the typed iteration through a TCollection.
 
  gx =  0.8007374029168081
gx_Norm[x] =  0.1068955044839622
gx_Int[x] =  7.490842639102233
[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'signal' created with bounds [-5,5]
gx_Int[x|signal]_Norm[x] =  0.8347532778470285
- Date
 - February 2018 
 
- Authors
 - Clemens Lange, Wouter Verkerke (C++ version) 
 
Definition in file rf110_normintegration.py.