本文整理汇总了C++中TGraph2D::SetMaximum方法的典型用法代码示例。如果您正苦于以下问题：C++ TGraph2D::SetMaximum方法的具体用法？C++ TGraph2D::SetMaximum怎么用？C++ TGraph2D::SetMaximum使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类TGraph2D的用法示例。
在下文中一共展示了TGraph2D::SetMaximum方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C++代码示例。
示例1: makeLikelihood
//.........这里部分代码省略.........
z = (gr->GetZ())[p] - mint1;
x = (gr->GetX())[p];
y = (gr->GetY())[p];
gr->SetPoint(p,x,y,z);
}
}
// MSSM Plot
TGraph2D *gr_mssm = new TGraph2D(); gr_mssm->SetName("mssm");
int pt = 0;
double minmssm = 10000;
if (doMSSM){
for (double mA=200;mA<=550;mA+=10){
for (double b=0.1;b<1.4;b+=0.02){
double tanb = TMath::Tan(b);
if (tanb >10.) b+=0.05;
// MSSM
MSSM(mA, tanb, &Vldu, &VlVu, &Vkuu);
std::cout << " pt, mA, tanb, ldu, lvu, kuu = " << pt << ", " << mA << ", " << tanb << ", " << Vldu << ", " << VlVu << ", " << Vkuu << std::endl;
if (Vldu > ldu.getMax() || Vldu < ldu.getMin()) {
gr_mssm->SetPoint(pt,mA,tanb,10);
}
if (VlVu > lVu.getMax() || VlVu < lVu.getMin()) {
gr_mssm->SetPoint(pt,mA,tanb,10);
}
if (Vkuu > kuu.getMax() || Vkuu < kuu.getMin()) {
gr_mssm->SetPoint(pt,mA,tanb,10);
} else {
//std::cout << " pt, mA, tanb, ldu, lvu, kuu = " << pt << ", " << mA << ", " << tanb << ", " << Vldu << ", " << VlVu << ", " << Vkuu << std::endl;
ldu.setVal(Vldu);
lVu.setVal(VlVu);
kuu.setVal(Vkuu);
double dnll2 = 2*spline->getVal();
// std::cout << " pt, mA, tanb, ldu, lvu, kuu = " << pt << ", " << mA << ", " << tanb << ", " << Vldu << ", " << VlVu << ", " << Vkuu << ", "<<dnll2 <<std::endl;
if (dnll2 < minmssm) minmssm = dnll2;
gr_mssm->SetPoint(pt,mA,tanb,dnll2);
}
gr_mssm_ldu->SetPoint(pt,mA,tanb,Vldu);
gr_mssm_lVu->SetPoint(pt,mA,tanb,VlVu);
gr_mssm_kuu->SetPoint(pt,mA,tanb,Vkuu);
pt++;
}
}
for (int p=0;p<gr_mssm->GetN();p++){
z = (gr_mssm->GetZ())[p] - minmssm;
x = (gr_mssm->GetX())[p];
y = (gr_mssm->GetY())[p];
gr_mssm->SetPoint(p,x,y,z);
}
}
gr->SetMaximum(10);
gr2->SetMaximum(10);
gr_ldu->SetMaximum(10);
gr_lVu->SetMaximum(10);
gr_kuu->SetMaximum(10);
gr2_ldu->SetMaximum(10); gr2_ldu->SetMinimum(-10);
gr2_lVu->SetMaximum(10);
gr2_kuu->SetMaximum(10);
gr_t1_lVu_V_kuu->SetMaximum(10);
gr_mssm->SetMaximum(10);
gr_mssm_ldu->SetMaximum(10); gr_mssm_ldu->SetMinimum(-10);
gr_mssm_lVu->SetMaximum(10);
gr_mssm_kuu->SetMaximum(10);
gcvcf->SetMaximum(10);
// TH2F *h = (TH2F*)gr->GetHistogram(); h->SetName("h_type1"); h->SetMaximum(10);
// TH2F *h2 = (TH2F*)gr2->GetHistogram(); h2->SetName("h_type2"); h2->SetMaximum(10);
// TH2F *hmssm = (TH2F*)gr_mssm->GetHistogram(); hmssm->SetName("h_mssm"); hmssm->SetMaximum(10);
// TH2F *hldu = (TH2F*)gr_ldu->GetHistogram(); hldu->SetName("h_ldu"); hldu->SetMaximum(10);
// TH2F *hlVu = (TH2F*)gr_lVu->GetHistogram(); hlVu->SetName("h_lVu"); hlVu->SetMaximum(10);
// TH2F *hkuu = (TH2F*)gr_kuu->GetHistogram(); hkuu->SetName("h_kuu"); hkuu->SetMaximum(10);
// TH2F *h2ldu = (TH2F*)gr2_ldu->GetHistogram(); h2ldu->SetName("h2_ldu"); h2ldu->SetMaximum(10);
// TH2F *h2lVu = (TH2F*)gr2_lVu->GetHistogram(); h2lVu->SetName("h2_lVu"); h2lVu->SetMaximum(10);
// TH2F *h2kuu = (TH2F*)gr2_kuu->GetHistogram(); h2kuu->SetName("h2_kuu"); h2kuu->SetMaximum(10);
// TH2F *ht1_lVu_V_kuu = (TH2F*) gr_t1_lVu_V_kuu->GetHistogram(); ht1_lVu_V_kuu->SetName("h2_t1_lVu_V_kuu"); ht1_lVu_V_kuu->SetMaximum(10);
fOut->cd();
gr->Write(); gr2->Write();
gr_ldu->Write(); gr_lVu->Write(); gr_kuu->Write();
gr2_ldu->Write(); gr2_lVu->Write(); gr2_kuu->Write();
gr_t1_lVu_V_kuu->Write();
gr_mssm->Write();
gcvcf->Write();
gcvcf_kuu->Write();
gcvcf_lVu->Write();
gr_mssm_ldu->Write();
gr_mssm_lVu->Write();
gr_mssm_kuu->Write();
g_FFS->Write();
std::cout << "Saved stuff to -> " << fOut->GetName() << std::endl;
fOut->Close();
}示例2: PlotSVMopt
void PlotSVMopt(){
// // TString FileData = "SVMoptData.dat";
// TFile *f = new TFile("SVMoptTree.root","RECREATE");
// TTree *T = new TTree("SVMoptTree","data from ascii file");
// Long64_t nlines = T->ReadFile("SVMoptData.dat","Gamma:C:ROCint:SigAt1Bkg_test:SigAt1Bkg_train");
// printf(" found %lld pointsn",nlines);
// T->Write();
// TGraph2D *grROCint = new TGraph2D();
// for(int i=0;i<nlines;i++){
// grROCint->SetPoint(i,);
// }
TGraph2D *grROCint = new TGraph2D();
TGraph2D *grSigAt1Bkg_test = new TGraph2D();
TGraph2D *grOverTrain = new TGraph2D();
TString dir = gSystem->UnixPathName(__FILE__);
dir.ReplaceAll("PlotSVMopt.C","");
dir.ReplaceAll("/./","/");
ifstream in;
// in.open(Form("%sSVMoptData.dat",dir.Data()));
in.open(Form("%sSVMoptData_NEW2.dat",dir.Data()));
Float_t Gamma,C,ROCint, SigAt1Bkg_test, SigAt1Bkg_train;
Int_t nlines = 0;
while (1) {
in >> Gamma >> C >> ROCint >> SigAt1Bkg_test >> SigAt1Bkg_train;
if (!in.good()) break;
// if (in.good()){
if (nlines < 5) printf("Gamma=%8f, C=%8f, ROCint=%8f\n",Gamma, C, ROCint);
grROCint->SetPoint(nlines,Gamma,C,ROCint);
grSigAt1Bkg_test->SetPoint(nlines,Gamma,C,SigAt1Bkg_test);
grOverTrain->SetPoint(nlines,Gamma,C,fabs(SigAt1Bkg_train-SigAt1Bkg_test));
nlines++;
// }
}
printf(" found %d points\n",nlines);
in.close();
TCanvas *cSVMopt = new TCanvas("cSVMopt","SVM model choice",600,600);
cSVMopt->Divide(2,2);
cSVMopt->cd(1);
cSVMopt_1->SetLogx();
cSVMopt_1->SetLogy();
grROCint->GetXaxis()->SetLabelSize(0.04);
grROCint->GetYaxis()->SetLabelSize(0.04);
grROCint->GetZaxis()->SetLabelSize(0.04);
grROCint->GetXaxis()->SetTitle("#gamma");
grROCint->GetYaxis()->SetTitle("C");
grROCint->GetZaxis()->SetTitle("ROC integral");
grROCint->SetTitle("ROC integral");
grROCint->SetMaximum(1.0);
grROCint->SetMinimum(0.9);
grROCint->Draw("COLZ");
cSVMopt->cd(2);
cSVMopt_2->SetLogx();
cSVMopt_2->SetLogy();
grSigAt1Bkg_test->SetTitle("Signal at 1% Bkg level (test)");
// grSigAt1Bkg_test->Draw("surf1");
grSigAt1Bkg_test->Draw("COLZ");
cSVMopt->cd(3);
cSVMopt_3->SetLogx();
cSVMopt_3->SetLogy();
grOverTrain->SetTitle("Overtraining");
grOverTrain->Draw("COLZ");
//cSVMopt->SaveAs("SVMoptC1.root");
}