df003_profiles.py File Reference

Namespaces
namespace	df003_profiles

Detailed Description

This tutorial illustrates how to use TProfiles in combination with the RDataFrame.

See the documentation of TProfile and TProfile2D to better understand the analogy of this code with the example one.

 
import ROOT
 
# A simple helper function to fill a test tree: this makes the example
# stand-alone.
def fill_tree(treeName, fileName):
    d = ROOT.ROOT.RDataFrame(25000)
    d.Define("px", "gRandom->Gaus()")\
     .Define("py", "gRandom->Gaus()")\
     .Define("pz", "sqrt(px * px + py * py)")\
     .Snapshot(treeName, fileName)
 
 
 
# We prepare an input tree to run on
fileName = "df003_profiles_py.root"
treeName = "myTree"
fill_tree(treeName, fileName)
 
# We read the tree from the file and create a RDataFrame.
columns = ROOT.vector('string')()
columns.push_back("px")
columns.push_back("py")
columns.push_back("pz")
d = ROOT.ROOT.RDataFrame(treeName, fileName, columns)
 
# Create the profiles
hprof1d = d.Profile1D(("hprof1d", "Profile of pz versus px", 64, -4, 4))
hprof2d = d.Profile2D(("hprof2d", "Profile of pz versus px and py", 40, -4, 4, 40, -4, 4, 0, 20))
 
# And Draw
c1 = ROOT.TCanvas("c1", "Profile histogram example", 200, 10, 700, 500)
hprof1d.Draw()
c2 = ROOT.TCanvas("c2", "Profile2D histogram example", 200, 10, 700, 500)
hprof2d.Draw()
 

Date

February 2017

Author

Danilo Piparo

Definition in file df003_profiles.py.