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tmva002_RDataFrameAsTensor.C File Reference

Detailed Description

View in nbviewer Open in SWAN This tutorial shows how the content of an RDataFrame can be converted to an RTensor object.

using namespace TMVA::Experimental;
void tmva002_RDataFrameAsTensor()
{
// Creation of an RDataFrame with five entries filled with ascending numbers
auto df2 = df.Define("x", "1.f*rdfentry_").Define("y", "-1.f*rdfentry_");
// Convert content of columns to an RTensor object
auto x = AsTensor<float>(df2);
std::cout << "RTensor from an RDataFrame:\n" << x << "\n\n";
// The utility also supports reading only a part of the RDataFrame and different
// memory layouts.
auto x2 = AsTensor<float>(df2, {"x"}, MemoryLayout::ColumnMajor);
std::cout << "RTensor from a single column of the RDataFrame:\n" << x2 << "\n\n";
}
static const double x2[5]
ROOT's RDataFrame offers a high level interface for analyses of data stored in TTrees,...
Double_t x[n]
Definition legend1.C:17
RTensor from an RDataFrame:
{ { 0, -0 } { 1, -1 } { 2, -2 } { 3, -3 } { 4, -4 } }
RTensor from a single column of the RDataFrame:
{ { 0 } { 1 } { 2 } { 3 } { 4 } }
Date
December 2018
Author
Stefan Wunsch

Definition in file tmva002_RDataFrameAsTensor.C.