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df003_profiles.py
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1## \file
2## \ingroup tutorial_dataframe
3## \notebook -draw
4## Use TProfiles with RDataFrame.
5##
6## This tutorial illustrates how to use TProfiles in combination with the
7## RDataFrame. See the documentation of TProfile and TProfile2D to better
8## understand the analogy of this code with the example one.
9##
10## \macro_code
11## \macro_image
12##
13## \date February 2017
14## \author Danilo Piparo (CERN)
15
16import ROOT
17
18# A simple helper function to fill a test tree: this makes the example
19# stand-alone.
20def fill_tree(treeName, fileName):
21 d = ROOT.RDataFrame(25000)
22 d.Define("px", "gRandom->Gaus()")\
23 .Define("py", "gRandom->Gaus()")\
24 .Define("pz", "sqrt(px * px + py * py)")\
25 .Snapshot(treeName, fileName)
26
27# We prepare an input tree to run on
28fileName = "df003_profiles_py.root"
29treeName = "myTree"
30fill_tree(treeName, fileName)
31
32# We read the tree from the file and create a RDataFrame.
33d = ROOT.RDataFrame(treeName, fileName)
34
35# Create the profiles
36hprof1d = d.Profile1D(("hprof1d", "Profile of pz versus px", 64, -4, 4), "px", "py")
37hprof2d = d.Profile2D(("hprof2d", "Profile of pz versus px and py", 40, -4, 4, 40, -4, 4, 0, 20), "px", "py", "pz")
38
39# And Draw
40c1 = ROOT.TCanvas("c1", "Profile histogram example", 200, 10, 700, 500)
41hprof1d.Draw()
42c1.SaveAs("df003_c1.png")
43
44c2 = ROOT.TCanvas("c2", "Profile2D histogram example", 200, 10, 700, 500)
45hprof2d.Draw()
46c2.SaveAs("df003_c2.png")
47
48print("Saved figures to df003_*.png")
ROOT's RDataFrame offers a modern, high-level interface for analysis of data stored in TTree ,...