 
  
 
 This tutorial shows how the content of an RDataFrame can be converted to an RTensor object. 
 
 
{
   
   auto df2 = df.Define(
"x", 
"1.f*rdfentry_").Define(
"y", 
"-1.f*rdfentry_");
 
 
   
 
   std::cout << 
"RTensor from an RDataFrame:\n" << 
x << 
"\n\n";
 
   
   
 
   std::cout << 
"RTensor from a single column of the RDataFrame:\n" << 
x2 << 
"\n\n";
}
ROOT::Detail::TRangeCast< T, true > TRangeDynCast
TRangeDynCast is an adapter class that allows the typed iteration through a TCollection.
Option_t Option_t TPoint TPoint const char x2
ROOT's RDataFrame offers a modern, high-level interface for analysis of data stored in TTree ,...
 
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.