Basic functionality: adding boxes with parameters to RooPlots and decorating with arrows, etc...
import ROOT
frame =
x.frame(Name=
"xframe", Title=
"RooPlot with decorations", Bins=40)
f =
ROOT.TFile(
"rf106_plotdecoration.root",
"RECREATE")
c =
ROOT.TCanvas(
"rf106_plotdecoration",
"rf106_plotdecoration", 600, 600)
ROOT::Detail::TRangeCast< T, true > TRangeDynCast
TRangeDynCast is an adapter class that allows the typed iteration through a TCollection.
[#1] INFO:Fitting -- RooAbsPdf::fitTo(gauss_over_gauss_Int[x]) fixing normalization set for coefficient determination to observables in data
[#1] INFO:Fitting -- using CPU computation library compiled with -mavx512
[#1] INFO:Fitting -- RooAddition::defaultErrorLevel(nll_gauss_over_gauss_Int[x]_gaussData) Summation contains a RooNLLVar, using its error level
[#1] INFO:Minimization -- RooAbsMinimizerFcn::setOptimizeConst: activating const optimization
[#1] INFO:Minimization -- RooAbsMinimizerFcn::setOptimizeConst: deactivating const optimization
- Authors
- Clemens Lange, Wouter Verkerke (C++ version)
Definition in file rf106_plotdecoration.py.