Fill multiple histograms with different functions and automatic binning.
OBJ: TStatistic min Mean = -0.11027 +- 0.07326 RMS = 0.23167 Count = 10 Min = -0.47139 Max = 0.1879
OBJ: TStatistic max Mean = 6.294 +- 0.1262 RMS = 0.39893 Count = 10 Min = 5.8322 Max = 7.2146
OBJ: TStatistic dif Mean = 6.4043 +- 0.1161 RMS = 0.36721 Count = 10 Min = 5.8018 Max = 7.1307
OBJ: TStatistic mean Mean = 2.9941 +- 0.0109 RMS = 0.034462 Count = 10 Min = 2.9483 Max = 3.0549
OBJ: TStatistic rms Mean = 0.98838 +- 0.006104 RMS = 0.019304 Count = 10 Min = 0.96014 Max = 1.0221
ent: 10010
TH1.Print Name = myh0, Entries= 10010, Total sum= 10008
TH1.Print Name = myhref, Entries= 10010, Total sum= 10009
TF1 *gam =
new TF1(
"gam",
"1/(1+0.1*x*0.1*x)", -100., 100.);
TF1 *gam1 =
new TF1(
"gam",
"1/(1+0.1*x*0.1*x)", -1., .25);
TF1 *iga =
new TF1(
"inv gam",
"1.-1/(1+0.1*x*0.1*x)", -100., 100.);
TF1 *iga1 =
new TF1(
"inv gam",
"1.-1/(1+0.1*x*0.1*x)", -.5, 1.);
void fillhistosauto2p(
unsigned opt = 1,
unsigned n = 1001)
{
auto href =
new TH1D(
"myhref",
"current", 50, 0., -1.);
href->SetBuffer(bsize);
auto href2 =
new TH1D(
"myhref",
"Auto P2, sequential", 50, 0., -1.);
href2->SetBuffer(bsize);
for (
UInt_t j = 0; j < nh; ++j) {
auto hw =
new TH1D(hname.
Data(),
"Auto P2, merged", nbins, 0., -1.);
hw->SetBuffer(bsize);
switch (opt) {
case 1: xx = rndm.Gaus(3, 1); break;
case 2: xx = rndm.Rndm() * 100. - 50.; break;
default: xx = rndm.Gaus(0, 1);
}
if (buffering) {
if (xx > xma)
xma = xx;
if (xx < xmi)
xmi = xx;
xw.Fill(xx);
}
hw->Fill(xx);
href->Fill(xx);
href2->Fill(xx);
if (!hw->GetBuffer()) {
}
}
}
return;
if (
gROOT->GetListOfCanvases()->FindObject(
"c3"))
delete gROOT->GetListOfCanvases()->FindObject(
"c3");
href2->StatOverflows();
href2->DrawClone();
href->StatOverflows();
href->DrawClone();
std::cout <<
" ent: " << h0->
GetEntries() <<
"\n";
href->Print();
delete hlist;
delete href;
delete href2;
delete h0;
}
R__EXTERN TStyle * gStyle
virtual void SetOwner(Bool_t enable=kTRUE)
Set whether this collection is the owner (enable==true) of its content.
virtual Double_t GetRandom(TRandom *rng=nullptr, Option_t *opt=nullptr)
Return a random number following this function shape.
1-D histogram with a double per channel (see TH1 documentation)}
virtual void Print(Option_t *option="") const
Print some global quantities for this histogram.
static void StatOverflows(Bool_t flag=kTRUE)
if flag=kTRUE, underflows and overflows are used by the Fill functions in the computation of statisti...
@ kAutoBinPTwo
Use Power(2)-based algorithm for autobinning.
virtual Double_t GetEntries() const
Return the current number of entries.
virtual Long64_t Merge(TCollection *list)
virtual void Add(TObject *obj)
virtual TObject * Remove(TObject *obj)
Remove object from the list.
virtual TObject * First() const
Return the first object in the list. Returns 0 when list is empty.
virtual TObject * DrawClone(Option_t *option="") const
Draw a clone of this object in the current selected pad for instance with: gROOT->SetSelectedPad(gPad...
virtual void Print(Option_t *option="") const
This method must be overridden when a class wants to print itself.
Random number generator class based on M.
Statistical variable, defined by its mean and variance (RMS).
const char * Data() const
static TString Format(const char *fmt,...)
Static method which formats a string using a printf style format descriptor and return a TString.
void SetOptStat(Int_t stat=1)
The type of information printed in the histogram statistics box can be selected via the parameter mod...