Logo ROOT  
Reference Guide
 
Loading...
Searching...
No Matches
tree143_drawsparse.C File Reference

Detailed Description

View in nbviewer Open in SWAN
Convert a THnSparse to a TTree using efficient iteration through the THnSparse and draw a THnSparse using TParallelCoord.

The plot will contain one line for each filled bin, with the bin's coordinates on each axis, and the bin's content on the rightmost axis.

Run as

#include "TParallelCoord.h"
#include "TROOT.h"
#include "TTree.h"
#include "TLeaf.h"
#include "THnSparse.h"
#include "TAxis.h"
#include "TCanvas.h"
#include "TRandom.h"
#include "TFile.h"
#include "TH3.h"
{
// Creates a TTree and fills it with the coordinates of all
// filled bins. The tree will have one branch for each dimension,
// and one for the bin content.
Int_t dim = h->GetNdimensions();
TString name(h->GetName()); name += "_tree";
TString title(h->GetTitle()); title += " tree";
TTree* tree = new TTree(name, title);
Double_t* x = new Double_t[dim + 1];
memset(x, 0, sizeof(Double_t) * (dim + 1));
for (Int_t d = 0; d < dim; ++d) {
if (branchname.Length())
branchname += ":";
TAxis* axis = h->GetAxis(d);
branchname += axis->GetName();
branchname += "/D";
}
tree->Branch("coord", x, branchname);
tree->Branch("bincontent", &x[dim], "bincontent/D");
Int_t *bins = new Int_t[dim];
for (Long64_t i = 0; i < h->GetNbins(); ++i) {
x[dim] = h->GetBinContent(i, bins);
for (Int_t d = 0; d < dim; ++d) {
x[d] = h->GetAxis(d)->GetBinCenter(bins[d]);
}
tree->Fill();
}
delete [] bins;
//delete [] x;
return tree;
}
{
// Draw a THnSparse using TParallelCoord, creating a temporary TTree.
TTree* tree = toTree(h);
const TLeaf* leaf = nullptr;
while ((leaf = (const TLeaf*)iLeaf())) {
if (whatToDraw.Length())
whatToDraw += ":";
whatToDraw += leaf->GetName();
}
tree->Draw(whatToDraw, "", "para");
TParallelCoord* parallelCoord = (TParallelCoord*)gPad->GetListOfPrimitives()->FindObject("ParaCoord");
TIter iVar(parallelCoord->GetVarList());
TParallelCoordVar* var = nullptr;
for (Int_t d = 0;(var = (TParallelCoordVar*) iVar()) && d < h->GetNdimensions(); ++d) {
TAxis* axis = h->GetAxis(d);
var->SetCurrentLimits(axis->GetXmin(), axis->GetXmax());
var->SetTitle(axis->GetTitle());
}
var->SetTitle("bin content");
}
{
// create a THnSparse and draw it.
const Int_t ndims = 8;
Int_t bins[ndims] = {10, 10, 5, 30, 10, 4, 18, 12};
Double_t xmin[ndims] = {-5., -10., -1000., -3., 0., 0., 0., 0.};
Double_t xmax[ndims] = {10., 70., 3000., 3., 5., 2., 2., 5.};
auto hs = new THnSparseD("hs", "Sparse Histogram", ndims, bins, xmin, xmax);
// fill it
for (Long_t i = 0; i < 100000; ++i) {
for (Int_t d = 0; d < ndims; ++d) {
switch (d) {
case 0:
x[d] = gRandom->Gaus() * 2 + 3.;
break;
case 1:
case 2:
case 3:
x[d] = (x[d - 1] * x[d - 1] - 1.5) / 1.5 + (0.5 * gRandom->Rndm());
break;
default:
x[d] = sin(gRandom->Gaus()*i/1000.) + 1.;
}
}
hs->Fill(x);
}
auto f = TFile::Open("drawsparse.root", "RECREATE");
auto canv = new TCanvas("hDrawSparse", "Drawing a sparse hist");
canv->Divide(2);
// draw it
canv->cd(1);
// project it
canv->cd(2);
TH3D* h3proj = hs->Projection(2, 3, 6);
h3proj->SetLineColor(kOrange);
h3proj->SetDirectory(nullptr);
h3proj->Draw("lego1");
// save everything to a file
canv->Write();
hs->Write();
h3proj->Write();
delete f;
}
#define d(i)
Definition RSha256.hxx:102
#define f(i)
Definition RSha256.hxx:104
#define h(i)
Definition RSha256.hxx:106
int Int_t
Definition RtypesCore.h:45
long Long_t
Definition RtypesCore.h:54
double Double_t
Definition RtypesCore.h:59
long long Long64_t
Definition RtypesCore.h:69
@ kOrange
Definition Rtypes.h:67
ROOT::Detail::TRangeCast< T, true > TRangeDynCast
TRangeDynCast is an adapter class that allows the typed iteration through a TCollection.
char name[80]
Definition TGX11.cxx:110
float xmin
float xmax
THnSparseT< TArrayD > THnSparseD
Definition THnSparse.h:221
R__EXTERN TRandom * gRandom
Definition TRandom.h:62
#define gPad
Class to manage histogram axis.
Definition TAxis.h:32
const char * GetTitle() const override
Returns title of object.
Definition TAxis.h:137
Double_t GetXmax() const
Definition TAxis.h:142
Double_t GetXmin() const
Definition TAxis.h:141
Int_t GetNbins() const
Definition TAxis.h:127
The Canvas class.
Definition TCanvas.h:23
static TFile * Open(const char *name, Option_t *option="", const char *ftitle="", Int_t compress=ROOT::RCompressionSetting::EDefaults::kUseCompiledDefault, Int_t netopt=0)
Create / open a file.
Definition TFile.cxx:4130
3-D histogram with a double per channel (see TH1 documentation)
Definition TH3.h:362
Efficient multidimensional histogram.
Definition THnSparse.h:37
A TLeaf describes individual elements of a TBranch See TBranch structure in TTree.
Definition TLeaf.h:57
const char * GetName() const override
Returns name of object.
Definition TNamed.h:49
TParallelCoord axes.
void SetTitle(const char *) override
Set the title of the TNamed.
void SetHistogramBinning(Int_t n=100)
Set the histogram binning.
void SetCurrentLimits(Double_t min, Double_t max)
Set the limits within which one the entries must be painted.
Parallel Coordinates class.
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:275
Double_t Rndm() override
Machine independent random number generator.
Definition TRandom.cxx:559
Basic string class.
Definition TString.h:139
A TTree represents a columnar dataset.
Definition TTree.h:79
virtual Int_t Fill()
Fill all branches.
Definition TTree.cxx:4596
virtual TObjArray * GetListOfLeaves()
Definition TTree.h:530
void Draw(Option_t *opt) override
Default Draw method for all objects.
Definition TTree.h:432
TBranch * Branch(const char *name, T *obj, Int_t bufsize=32000, Int_t splitlevel=99)
Add a new branch, and infer the data type from the type of obj being passed.
Definition TTree.h:354
Double_t x[n]
Definition legend1.C:17
Author
Axel Naumann

Definition in file tree143_drawsparse.C.