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Reference Guide
df003_profiles.C File Reference

Detailed Description

View in nbviewer Open in SWAN 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.

// A simple helper function to fill a test tree: this makes the example
// stand-alone.
void fill_tree(const char *treeName, const char *fileName)
{
d.Define("px", []() { return gRandom->Gaus(); })
.Define("py", []() { return gRandom->Gaus(); })
.Define("pz", [](double px, double py) { return sqrt(px * px + py * py); }, {"px", "py"})
.Snapshot(treeName, fileName);
}
{
// We prepare an input tree to run on
auto fileName = "df003_profiles.root";
auto treeName = "myTree";
fill_tree(treeName, fileName);
// We read the tree from the file and create a RDataFrame.
ROOT::RDataFrame d(treeName, fileName, {"px", "py", "pz"});
// Create the profiles
auto hprof1d = d.Profile1D({"hprof1d", "Profile of pz versus px", 64, -4, 4});
auto hprof2d = d.Profile2D({"hprof2d", "Profile of pz versus px and py", 40, -4, 4, 40, -4, 4, 0, 20});
// And Draw
auto c1 = new TCanvas("c1", "Profile histogram example", 200, 10, 700, 500);
hprof1d->DrawClone();
auto c2 = new TCanvas("c2", "Profile2D histogram example", 200, 10, 700, 500);
hprof2d->DrawClone("BOX");
}
#define d(i)
Definition: RSha256.hxx:102
double sqrt(double)
R__EXTERN TRandom * gRandom
Definition: TRandom.h:62
ROOT's RDataFrame offers a high level interface for analyses of data stored in TTrees,...
Definition: RDataFrame.hxx:42
The Canvas class.
Definition: TCanvas.h:27
virtual Double_t Gaus(Double_t mean=0, Double_t sigma=1)
Samples a random number from the standard Normal (Gaussian) Distribution with the given mean and sigm...
Definition: TRandom.cxx:263
return c1
Definition: legend1.C:41
return c2
Definition: legend2.C:14
Date
February 2017
Author
Danilo Piparo

Definition in file df003_profiles.C.