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Reference Guide
df010_trivialDataSource.C
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1 /// \file
2 /// \ingroup tutorial_dataframe
3 /// \notebook
4 /// This tutorial illustrates how use the RDataFrame in combination with a
5 /// RDataSource. In this case we use a TTrivialDS, which is nothing more
6 /// than a simple generator: it does not interface to any existing dataset.
7 /// The TTrivialDS has a single column, col0, which has value n for entry n.
8 ///
9 /// \macro_code
10 ///
11 /// \date September 2017
12 /// \author Danilo Piparo
13 
15 {
16  auto nEvents = 128U;
17  auto d_s = ROOT::RDF::MakeTrivialDataFrame(nEvents);
18 
19  /// Now we have a regular RDataFrame: the ingestion of data is delegated to
20  /// the RDataSource. At this point everything works as before.
21  auto h_s = d_s.Define("x", "1./(1. + col0)").Histo1D({"h_s", "h_s", 128, 0, .6}, "x");
22 
23  /// Now we redo the same with a RDF from scratch and we draw the two histograms
24  ROOT::RDataFrame d(nEvents);
25 
26  /// This lambda redoes what the TTrivialDS provides
27  auto g = []() {
28  static ULong64_t i = 0;
29  return i++;
30  };
31  auto h = d.Define("col0", g).Define("x", "1./(1. + col0)").Histo1D({"h", "h", 128, 0, .6}, "x");
32 
33  auto c_s = new TCanvas();
34  c_s->SetLogy();
35  h_s->DrawClone();
36 
37  auto c = new TCanvas();
38  c->SetLogy();
39  h->DrawClone();
40 
41  return 0;
42 }
#define g(i)
Definition: RSha256.hxx:105
#define h(i)
Definition: RSha256.hxx:106
ROOT's RDataFrame offers a high level interface for analyses of data stored in TTrees, CSV's and other data formats.
Definition: RDataFrame.hxx:42
The Canvas class.
Definition: TCanvas.h:31
#define d(i)
Definition: RSha256.hxx:102
RDataFrame MakeTrivialDataFrame(ULong64_t size, bool skipEvenEntries=false)
Definition: RTrivialDS.cxx:86
unsigned long long ULong64_t
Definition: RtypesCore.h:70
#define c(i)
Definition: RSha256.hxx:101