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Reference Guide
df023_aggregate.C File Reference

Detailed Description

View in nbviewer Open in SWAN This tutorial shows how to use the Aggregate action to evaluate the product of all the elements of a column.

This operation may be performed using a Reduce action, however aggregate is used for the sake of the tutorial

void df023_aggregate()
{
// Column to be aggregated
const std::string columnName = "x";
auto rdf = ROOT::RDataFrame(5);
auto d = rdf.Define(columnName, "rdfentry_ + 1.");
// Aggregator function. It receives an accumulator (acc) and a column value (x). The variable acc is shared among the
// calls, so the function has to specify how the value has to be aggregated in the accumulator.
auto aggregator = [](double acc, double x) { return acc * x; };
// If multithread is enabled, the aggregator function will be called by more threads and will produce a vector of
// partial accumulators. The merger function performs the final aggregation of these partial results.
auto merger = [](std::vector<double> &accumulators) {
auto size = accumulators.size();
for (int i = 1; i < size; ++i) {
accumulators[0] *= accumulators[i];
}
};
// The accumulator is initialized at this value by every thread.
double initValue = 1.;
// Multiplies all elements of the column "x"
auto result = d.Aggregate(aggregator, merger, columnName, initValue);
std::cout << *result << std::endl;
}
#define d(i)
Definition: RSha256.hxx:102
ROOT's RDataFrame offers a high level interface for analyses of data stored in TTrees,...
Definition: RDataFrame.hxx:42
Double_t x[n]
Definition: legend1.C:17
void EnableImplicitMT(UInt_t numthreads=0)
Enable ROOT's implicit multi-threading for all objects and methods that provide an internal paralleli...
Definition: TROOT.cxx:526
120
Date
July 2018
Author
Enrico Guiraud, Danilo Piparo CERN, Massimo Tumolo Politecnico di Torino

Definition in file df023_aggregate.C.