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hsum.C
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1 /// \file
2 /// \ingroup tutorial_hist
3 /// Histograms filled and drawn in a loop.
4 /// Simple example illustrating how to use the C++ interpreter
5 /// to fill histograms in a loop and show the graphics results
6 ///
7 /// \macro_image
8 /// \macro_code
9 ///
10 /// \author Rene Brun
11 
12 void hsum() {
13  TCanvas *c1 = new TCanvas("c1","The HSUM example",200,10,600,400);
14  c1->SetGrid();
15 
16  gBenchmark->Start("hsum");
17 
18 // Create some histograms.
19  auto total = new TH1F("total","This is the total distribution",100,-4,4);
20  auto main = new TH1F("main","Main contributor",100,-4,4);
21  auto s1 = new TH1F("s1","This is the first signal",100,-4,4);
22  auto s2 = new TH1F("s2","This is the second signal",100,-4,4);
23  total->Sumw2(); // store the sum of squares of weights
24  total->SetMarkerStyle(21);
25  total->SetMarkerSize(0.7);
26  main->SetFillColor(16);
27  s1->SetFillColor(42);
28  s2->SetFillColor(46);
29  TSlider *slider = 0;
30 
31 // Fill histograms randomly
32  gRandom->SetSeed();
33  const Int_t kUPDATE = 500;
34  Float_t xs1, xs2, xmain;
35  for ( Int_t i=0; i<10000; i++) {
36  xmain = gRandom->Gaus(-1,1.5);
37  xs1 = gRandom->Gaus(-0.5,0.5);
38  xs2 = gRandom->Landau(1,0.15);
39  main->Fill(xmain);
40  s1->Fill(xs1,0.3);
41  s2->Fill(xs2,0.2);
42  total->Fill(xmain);
43  total->Fill(xs1,0.3);
44  total->Fill(xs2,0.2);
45  if (i && (i%kUPDATE) == 0) {
46  if (i == kUPDATE) {
47  total->Draw("e1p");
48  main->Draw("same");
49  s1->Draw("same");
50  s2->Draw("same");
51  c1->Update();
52  slider = new TSlider("slider",
53  "test",4.2,0,4.6,total->GetMaximum(),38);
54  slider->SetFillColor(46);
55  }
56  if (slider) slider->SetRange(0,Float_t(i)/10000.);
57  c1->Modified();
58  c1->Update();
59  }
60  }
61  slider->SetRange(0,1);
62  total->Draw("sameaxis"); // to redraw axis hidden by the fill area
63  c1->Modified();
64  gBenchmark->Show("hsum");
65 }
virtual Int_t Fill(Double_t x)
Increment bin with abscissa X by 1.
Definition: TH1.cxx:3159
float Float_t
Definition: RtypesCore.h:53
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...
Definition: TRandom.cxx:235
virtual void SetRange(Double_t xmin=0, Double_t xmax=1)
Set Slider range in [0,1].
Definition: TSlider.cxx:204
virtual void Show(const char *name)
Stops Benchmark name and Prints results.
Definition: TBenchmark.cxx:155
1-D histogram with a float per channel (see TH1 documentation)}
Definition: TH1.h:570
int Int_t
Definition: RtypesCore.h:41
virtual void Draw(Option_t *option="")
Default Draw method for all objects.
Definition: TObject.cxx:254
virtual void SetSeed(UInt_t seed=0)
Set the random generator seed.
Definition: TRandom.cxx:568
tuple xs2
Definition: hsum.py:47
A specialized TPad including a TSliderBox object.
Definition: TSlider.h:31
TSocket * s1
Definition: hserv2.C:36
virtual void Start(const char *name)
Starts Benchmark with the specified name.
Definition: TBenchmark.cxx:172
virtual void SetGrid(Int_t valuex=1, Int_t valuey=1)
Definition: TPad.h:326
tuple xmain
Definition: hsum.py:45
virtual void Draw(Option_t *option="")
Draw this histogram with options.
Definition: TH1.cxx:2878
tuple main
Definition: hsum.py:20
virtual void SetFillColor(Color_t fcolor)
Definition: TAttFill.h:50
R__EXTERN TBenchmark * gBenchmark
Definition: TBenchmark.h:63
virtual void SetMarkerStyle(Style_t mstyle=1)
Definition: TAttMarker.h:53
R__EXTERN TRandom * gRandom
Definition: TRandom.h:62
virtual void SetMarkerSize(Size_t msize=1)
Definition: TAttMarker.h:54
TH1F * total
Definition: threadsh2.C:15
The Canvas class.
Definition: TCanvas.h:48
TH1F * s2
Definition: threadsh2.C:15
virtual void Sumw2(Bool_t flag=kTRUE)
Create structure to store sum of squares of weights.
Definition: TH1.cxx:8350
tuple xs1
Definition: hsum.py:46
virtual void Update()
Update canvas pad buffers.
Definition: TCanvas.cxx:2179
virtual Double_t GetMaximum(Double_t maxval=FLT_MAX) const
Return maximum value smaller than maxval of bins in the range, unless the value has been overridden b...
Definition: TH1.cxx:7921
virtual Double_t Landau(Double_t mean=0, Double_t sigma=1)
Generate a random number following a Landau distribution with location parameter mu and scale paramet...
Definition: TRandom.cxx:340
void Modified(Bool_t flag=1)
Definition: TPad.h:407