本文整理汇总了C++中TPad::GetBottomMargin方法的典型用法代码示例。如果您正苦于以下问题：C++ TPad::GetBottomMargin方法的具体用法？C++ TPad::GetBottomMargin怎么用？C++ TPad::GetBottomMargin使用的例子？那么, 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TPad的用法示例。
在下文中一共展示了TPad::GetBottomMargin方法的4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: can
void HiggsPlot::PlotChi2(){
styles style; style.setPadsStyle(1);
style.PadLeftMargin = 0.14; style.PadBottomMargin = 0.17;
style.yTitleOffset = 0.7; style.xTitleOffset = 0.7;
style.TitleSize = 0.1; style.LabelSize = 0.1;
style.setDefaultStyle();
TCanvas can("can","Likelihood scan");
TPad *cPad = static_cast<TPad *>(can.cd(0));
TString xTitle[] = {"R(D)", "R(D*)"};
double nSig = 4.2;
int nBins = 60;
_varyRD = 0;
double RD[2], RDs[2], frac=0.018;
Compute(0,RD,1); Compute(0,RDs,2);
double Limit[2][2] = {{Measurement[1][0]-nSig*Measurement[1][1], Measurement[1][0]+nSig*Measurement[1][1]},
{Measurement[2][0]-nSig*Measurement[2][1], Measurement[2][0]+nSig*Measurement[2][1]}};
TH2F hChi2("hChi2","",nBins, Limit[0][0],Limit[0][1], nBins, Limit[1][0],Limit[1][1]);
for(int iRD=1; iRD<=nBins; iRD++){
for(int iRDs=1; iRDs<=nBins; iRDs++){
RD[0] = hChi2.GetXaxis()->GetBinCenter(iRD);
RDs[0] = hChi2.GetYaxis()->GetBinCenter(iRDs);
hChi2.SetBinContent(iRD, iRDs, ProbChi2(3, 0, RD, RDs));
//cout<<1-ProbChi2(3, 0, RD, RDs)<<endl;
}
//cout<<endl;
}
hChi2.SetXTitle(xTitle[0]); hChi2.SetYTitle(xTitle[1]);
//int colors[] = {kBlue+2, kBlue+1, kBlue-4, kBlue-7, kBlue-9, kBlue-10, 0};
int colors[] = {kBlue-3, kBlue-4, kBlue-7, kBlue-9, kBlue-10, 0};
gStyle->SetPalette(Nsigma, colors);
double zCont[Nsigma];
for(int ns=1; ns<=Nsigma; ns++) zCont[ns] = IntG(0,1,-ns,ns);//cout<<endl<<zCont[ns]<<endl;}
hChi2.SetContour(Nsigma,zCont);
hChi2.GetXaxis()->CenterTitle(true); hChi2.GetYaxis()->CenterTitle(true);
hChi2.SetLabelOffset(0.009,"xy");
hChi2.SetLabelSize(0.09,"xy");
hChi2.SetTitleOffset(1,"x");
hChi2.SetTitleOffset(0.6,"y");
hChi2.Draw("cont4");
double padL[2][2] = {{cPad->GetLeftMargin(), 1-cPad->GetRightMargin()}, // Margins are reversed for x-y!
{cPad->GetBottomMargin(), 1-cPad->GetTopMargin()}};
double SMyield[2];
Compute(0,RD,1); Compute(0,RDs,2); RD[1] = RDs[0];
TLine line; line.SetLineWidth(2); line.SetLineColor(1);
for(int chan=0; chan<2; chan++){
double range = Limit[chan][1]-Limit[chan][0];
SMyield[chan] = padL[chan][0] + (padL[chan][1]-padL[chan][0])*(RD[chan]-Limit[chan][0])/range;
}
line.DrawLineNDC(SMyield[0]-frac, SMyield[1], SMyield[0]+frac, SMyield[1]);
line.DrawLineNDC(SMyield[0], SMyield[1]-2*frac, SMyield[0], SMyield[1]+2*frac);
TLatex latex; latex.SetNDC(kTRUE); latex.SetTextAlign(33); latex.SetTextSize(style.TitleSize);
latex.DrawLatex(SMyield[0]-frac,SMyield[1]-frac,"SM");
line.SetLineColor(0);
for(int chan=0; chan<2; chan++){
double range = Limit[chan][1]-Limit[chan][0];
SMyield[chan] = padL[chan][0] + (padL[chan][1]-padL[chan][0])*(Measurement[1+chan][0]-Limit[chan][0])/range;
}
line.DrawLineNDC(SMyield[0]-frac, SMyield[1], SMyield[0]+frac, SMyield[1]);
line.DrawLineNDC(SMyield[0], SMyield[1]-2*frac, SMyield[0], SMyield[1]+2*frac);
TH1F *histo[Nsigma];
double legW = 0.08, legH = 0.07*Nsigma;
double legX = 1-style.PadRightMargin-0.02, legY = 1-style.PadTopMargin-0.02;
TLegend *leg = new TLegend(legX-legW, legY-legH, legX, legY);
leg->SetTextSize(0.08); leg->SetFillColor(0); leg->SetTextFont(style.nFont);
for(int ileg=0; ileg<Nsigma-1; ileg++) {
TString label = "histo"; label += ileg+1;
histo[ileg] = new TH1F(label,"histo",10,0,10);
histo[ileg]->SetLineColor(colors[ileg]);histo[ileg]->SetFillColor(colors[ileg]);
label = " "; label += ileg+1; label += "#sigma";
leg->AddEntry(histo[ileg],label);
}
leg->Draw();
TString pName = "public_html/Higgs_Chi2.eps";
can.SaveAs(pName);
for(int ileg=0; ileg<Nsigma-1; ileg++) histo[ileg]->Delete();
}示例2: vs_PlotQCDcomp
//.........这里部分代码省略.........
if ( hptFOR != 0 ) {
for (int b = 0; b < hptFOR->GetNbinsX(); b++) {
Double_t mainHistoContent = hptFOR->GetBinContent(b);
Double_t systUpHistoContent = hptSUR->GetBinContent(b);
Double_t systDnHistoContent = hptSDR->GetBinContent(b);
Double_t systDiffUp = fabs( (double) systUpHistoContent - mainHistoContent );
Double_t systDiffDn = fabs( (double) mainHistoContent - systDnHistoContent );
// use average error for histogram
Double_t systDiff = ( systDiffUp + systDiffDn ) / 2.;
Double_t statErr = hptFOR->GetBinError(b);
Double_t combError = sqrt( systDiff * systDiff + statErr * statErr );
hptFOR->SetBinError(b, combError);
} //for
}//if
cPt->SetLogy(1);
gPad->Update();
cPt->Update();
// hptR->Scale(1,"width");
// hptR->SetMinimum(0.02);
// hptR->SetMaximum(1000);
hptR->GetXaxis()->SetTitle("1^{st} photon p_{T} [GeV]");
hptR->GetYaxis()->SetTitle("Number of Events / GeV");
if(isMC) hptR->SetMarkerSize(0);
if(isMC) hptR->Draw("histE");
else hptR->Draw("E X0");
hptFOR->SetMarkerSize(0);
hptFOR->SetLineColor(2);
hptFOR->SetFillColor(2);
hptFOR->SetFillStyle(3004);
hptFOR->Draw("same hist ][ E2");
legend->Clear();
if(isMC) legend->SetHeader("#gamma/QCD (Sim)");
else legend->SetHeader("#gamma/QCD (Data)");
if(isMC) legend->AddEntry(hptR, "#gamma", "l");
else legend->AddEntry(hptR, "#gamma", "p");
legend->AddEntry(hptFOR, "Pred (from #gamma_{jet})", "f");
legend->Draw();
as->DrawLatex(0.17, 0.93, outLumi.c_str() );
cPt->Update();
cPt->SetBottomMargin(0.2 + 0.8 * cPt->GetBottomMargin() - 0.2 * cPt->GetTopMargin());
TPad *ratioPt = new TPad("BottomPad", "", 0, 0, 1, 1);
ratioPt->SetTopMargin(0.8 - 0.8 * ratioPt->GetBottomMargin() + 0.2 * ratioPt->GetTopMargin());
ratioPt->SetFillStyle(0);
ratioPt->SetFrameFillColor(10);
ratioPt->SetFrameBorderMode(0);
ratioPt->Draw();
ratioPt->cd();
ratioPt->SetLogy(0);
TH1F *hptRat = (TH1F*) divideHistosForRatio(hptR,hptFOR);
hptRat->SetMinimum(0.);
hptRat->SetMaximum(10.);
hptRat->GetXaxis()->SetNdivisions(505);
if(isMC) hptRat->GetYaxis()->SetTitle("Sim/Pred");
else hptRat->GetYaxis()->SetTitle("Data/Pred");
hptRat->GetYaxis()->SetTitleSize(0.04);
hptRat->GetYaxis()->SetLabelSize(0.03);
hptRat->GetYaxis()->SetTitleOffset(1.3);
hptRat->GetYaxis()->SetNdivisions(505);
hptRat->SetMarkerStyle(20);
hptRat->SetMarkerSize(1);
hptRat->SetMarkerColor(1);
hptRat->SetLineColor(1);
hptRat->Draw("E X0");
TH1F *hptFRat = (TH1F*) getSystErrForRatio(hptFOR);
hptFRat->SetLineColor(2);
hptFRat->SetFillColor(2);
hptFRat->SetFillStyle(3004);
hptFRat->Draw("same hist ][ E2");
TLine * line = new TLine( hptRat->GetXaxis()->GetXmin(), 1., hptRat->GetXaxis()->GetXmax(), 1. );
line->SetLineColor(1);
line->SetLineWidth(0.5);
line->SetLineStyle(1);
line->Draw("same");
hptR->GetXaxis()->SetLabelSize(0);
hptR->GetXaxis()->SetTitle("");
cPt->RedrawAxis();
gPad->Update();
cPt->Update();
return;
}示例3: compareInDir
//.........这里部分代码省略.........
pt->Draw();
cv->cd();
pD = new TPad("dis","dis", 0, 0.0, 1, 0.93);
pD->Draw();
pD->cd();
}
pD->Clear();
pD->cd();
std::cout<<"Save : "<<dirName.c_str()<<"/"<<h1->GetName()<<std::endl;
if (! isH2){
h1->SetLineWidth(2);
h1->SetLineColor(1);
h1->SetMarkerColor(1);
h2->SetLineColor(2);
h2->SetMarkerColor(2);
// if (h1->GetNbinsX() > 25) h1 = h1->Rebin();
// if (h2->GetNbinsX() > 25) h2 = h2->Rebin();
// if (h1->GetNbinsX() > 50) h1 = h1->Rebin(5);
// if (h2->GetNbinsX() > 50) h2 = h2->Rebin(5);
double max1 = h1->GetMaximum();
double max2 = h2->GetMaximum();
double min1 = h1->GetMinimum();
double min2 = h2->GetMinimum();
if (max2> max1) h1->SetMaximum(max2+0.15*fabs(max2));
if (min2 < min1) h1->SetMinimum(min2-0.15*fabs(min2));
// pD->SetLogy();
if ((logmod&1)) pD->SetLogx();
if ((logmod&2)) pD->SetLogy();
h1->Draw();
h2->Draw("sames");
if (std::string(h1->GetName())==std::string("reconstruction_step_module_total")
|| std::string(h1->GetName())==std::string("validation_step_module_total")){
TPaveText ksPt(0,0, 0.35, 0.04, "NDC"); ksPt.SetBorderSize(0); ksPt.SetFillColor(0);
ksPt.AddText(Form("P(KS)=%g, diffBins=%g, eblk %g ered %g",ksProb, bDiff, h1->GetEntries(), h2->GetEntries()));
// ksPt.AddText(h1->GetName());
ksPt.Draw();
cv->Print("diff.ps");
int nX = h1->GetNbinsX();
TAxis* h1Ax = h1->GetXaxis();
int nRanges = nX/20 + 1;
double h1Int = h1->Integral();
float curBMargin = pD->GetBottomMargin();
pD->SetBottomMargin(0.3);
for (int iR = 0; iR < nRanges; iR++){
h1Ax->SetRange(iR*20+1, iR*20+20);
double bDiffL = 0;
double max1L = -1;
double max2L = -1;
double min1L = h1->GetMaximum();
double min2L = h2->GetMaximum();
for (int iBL = iR*20+1; iBL<= iR*20+20; ++iBL){
double h1L = h1->GetBinContent(iBL);
double h2L = h2->GetBinContent(iBL);
bDiffL += std::abs(h1L-h2L);
if (max1L < h1L) max1L = h1L;
if (max2L < h2L) max2L = h2L;
if (min1L > h1L) min1L = h1L;
if (min2L > h2L) min2L = h2L;
}
if (max2L> max1L) h1->SetMaximum(max2L+0.15*std::abs(max2L));
else h1->SetMaximum(max1L+0.15*std::abs(max1L));
if (min2L < min1L) h1->SetMinimum(min2L-0.15*std::abs(min2L));
else h1->SetMinimum(min1L-0.15*std::abs(min1L));
h1->Draw();
h2->Draw("sames");
TPaveText ksPtL(0,0, 0.35, 0.04, "NDC"); ksPtL.SetBorderSize(0); ksPtL.SetFillColor(0);
ksPtL.AddText(Form("P(KS)=%g, diffBinsL=%g(%g), eblk %g ered %g",ksProb, bDiffL, bDiffL/h1Int, h1->GetEntries(), h2->GetEntries()));
ksPtL.Draw();
cv->Print("diff.ps");
}
pD->SetBottomMargin(curBMargin);
}
}
if (isH2){
pD->Divide(2);
pD->cd(1);
h1->Draw("colz");
pD->cd(2);
h2->Draw("colz");
}
TPaveText ksPt(0,0, 0.55, 0.06, "NDC"); ksPt.SetBorderSize(0); ksPt.SetFillColor(0);
ksPt.AddText(Form("P(KS)=%g, diffBins=%g, eblk %g ered %g",ksProb, bDiff, h1->GetEntries(), h2->GetEntries()));
ksPt.AddText(h1->GetName());
ksPt.Draw();
cv->Print("diff.ps");
cv->Print("diff.pdf");
}
// std::cout<<"Done in "<<dirName.c_str()<<std::endl;
// delete pH; delete pD;
if (cv) delete cv;
// cv->Print("diff.ps]");
}示例4: boostcontrolplots
void boostcontrolplots( TDirectory *boostdir ) {
const Int_t nPlots = 4;
Int_t width = 900;
Int_t height = 900;
char cn[100];
const TString titName = boostdir->GetName();
sprintf( cn, "cv_%s", titName.Data() );
TCanvas *c = new TCanvas( cn, Form( "%s Control Plots", titName.Data() ),
width, height );
c->Divide(2,3);
const TString titName = boostdir->GetName();
TString hname[nPlots]={"Booster_BoostWeight","Booster_MethodWeight","Booster_ErrFraction","Booster_OrigErrFraction"};
for (Int_t i=0; i<nPlots; i++){
Int_t color = 4;
TPad * cPad = (TPad*)c->cd(i+1);
TH1 *h = (TH1*) boostdir->Get(hname[i]);
TString plotname = h->GetName();
h->SetMaximum(h->GetMaximum()*1.3);
h->SetMinimum( 0 );
h->SetMarkerColor(color);
h->SetMarkerSize( 0.7 );
h->SetMarkerStyle( 24 );
h->SetLineWidth(2);
h->SetLineColor(color);
h->Draw();
c->Update();
}
// draw combined ROC plots
TString hname_roctest[2] ={"Booster_ROCIntegral_test", "Booster_ROCIntegralBoosted_test"};
TString hname_roctrain[2]={"Booster_ROCIntegral_train", "Booster_ROCIntegralBoosted_train"};
TString htitle[2] = {"ROC integral of single classifier", "ROC integral of boosted method"}
for (Int_t i=0; i<2; i++){
Int_t color = 4;
TPad * cPad = (TPad*)c->cd(nPlots+i+1);
TH1 *htest = (TH1*) boostdir->Get(hname_roctest[i]);
TH1 *htrain = (TH1*) boostdir->Get(hname_roctrain[i]);
// check if filled
Bool_t histFilled = (htest->GetMaximum() > 0 || htrain->GetMaximum() > 0);
htest->SetTitle(htitle[i]);
htest->SetMaximum(1.0);
htest->SetMinimum(0.0);
htest->SetMarkerColor(color);
htest->SetMarkerSize( 0.7 );
htest->SetMarkerStyle( 24 );
htest->SetLineWidth(2);
htest->SetLineColor(color);
htest->Draw();
htrain->SetMaximum(1.0);
htrain->SetMinimum(0.0);
htrain->SetMarkerColor(color-2);
htrain->SetMarkerSize( 0.7 );
htrain->SetMarkerStyle( 24 );
htrain->SetLineWidth(2);
htrain->SetLineColor(color-2);
htrain->Draw("same");
if (histFilled) {
TLegend *legend= new TLegend( cPad->GetLeftMargin(),
0.2 + cPad->GetBottomMargin(),
cPad->GetLeftMargin() + 0.6,
cPad->GetBottomMargin() );
legend->AddEntry(htest, TString("testing sample"), "L");
legend->AddEntry(htrain, TString("training sample (orig. weights)"), "L");
legend->SetFillStyle( 1 );
legend->SetBorderSize(1);
legend->SetMargin( 0.3 );
legend->Draw("same");
}
else {
TText* t = new TText();
t->SetTextSize( 0.056 );
t->SetTextColor( 2 );
t->DrawText( 1, 0.6, "Use MethodBoost option: \"DetailedMonitoring\" " );
t->DrawText( 1, 0.51, "to fill this histograms" );
}
c->Update();
}
// write to file
TString fname = Form( "plots/%s_ControlPlots", titName.Data() );
TMVAGlob::imgconv( c, fname );
}