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.
void fill_tree(const char *treeName, const char *fileName)
{
.Define(
"pz", [](
double px,
double py) {
return sqrt(px * px + py * py); }, {
"px",
"py"})
.Snapshot(treeName, fileName);
}
{
auto fileName = "df003_profiles.root";
auto treeName = "myTree";
fill_tree(treeName, fileName);
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});
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");
}
R__EXTERN TRandom * gRandom
ROOT's RDataFrame offers a high level interface for analyses of data stored in TTrees,...
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...
- Date
- February 2017
- Author
- Danilo Piparo
Definition in file df003_profiles.C.