コード例 #1
0
def efficiency(stype, Zlep=True):
    genPoints = [800, 1000, 1200, 1400, 1600, 1800, 2000, 2500, 3000, 3500, 4000, 4500]
    eff = {}
    
    channels = [x for x in channelList if len(x)<5]

    for channel in channels:
        treeSign = {}
        ngenSign = {}
        nevtSign = {}
        eff[channel] = TGraphErrors()

        for i, m in enumerate(genPoints):
            signName = "%s_M%d" % (stype, m) #"%s_M%d" % (channel[:3], m)
            ngenSign[m] = 0.
            nevtSign[m] = 0.
            for j, ss in enumerate(sample[signMass]['files']):
                if 'nn' in channel and not 'Zinv' in ss: continue
                if ('en' in channel or 'mn' in channel) and not 'Wlep' in ss: continue
                if ('ee' in channel or 'mm' in channel) and not 'Zlep' in ss: continue
                if Zlep and 'Zinv' in ss: continue
                if not Zlep and 'Zlep' in ss: continue

                sfile = TFile(NTUPLEDIR + ss + ".root", "READ")
                if not sfile.Get("Events")==None:
                    ngenSign[m] += sfile.Get("Events").GetEntries()
                    # From trees
                    treeSign[m] = sfile.Get("tree")
                    nevtSign[m] += treeSign[m].GetEntries(selection[channel] + selection['SR'])
                else:
                    ngenSign[m] = -1
                    print "Failed reading file", NTUPLEDIR + ss + ".root"
                sfile.Close()
            if nevtSign[m] == 0 or ngenSign[m] < 0: continue
            # Gen Br
            n = eff[channel].GetN()
            eff[channel].SetPoint(n, m, nevtSign[m]/ngenSign[m])
            eff[channel].SetPointError(n, 0, math.sqrt(nevtSign[m])/ngenSign[m])

        eff[channel].SetMarkerColor(color[channel])
        eff[channel].SetMarkerStyle(20)
        eff[channel].SetLineColor(color[channel])
        eff[channel].SetLineWidth(2)
        if channel.count('b')==1: eff[channel].SetLineStyle(3)

    n = max([eff[x].GetN() for x in channels])
    maxEff = 0.

    # Total efficiency
    eff["sum"] = TGraphErrors(n)
    eff["sum"].SetMarkerStyle(24)
    eff["sum"].SetMarkerColor(1)
    eff["sum"].SetLineWidth(2)
    for i in range(n):
        tot, mass = 0., 0.
        for channel in channels:
            if eff[channel].GetN() > i:
                tot += eff[channel].GetY()[i]
                mass = eff[channel].GetX()[i]
                if tot > maxEff: maxEff = tot
        eff["sum"].SetPoint(i, mass, tot)


    leg = TLegend(0.15, 0.60, 0.95, 0.8)
    leg.SetBorderSize(0)
    leg.SetFillStyle(0) #1001
    leg.SetFillColor(0)
    leg.SetNColumns(len(channels)/4)
    for i, channel in enumerate(channels):
        if eff[channel].GetN() > 0: leg.AddEntry(eff[channel], getChannel(channel), "pl")
    leg.SetY1(leg.GetY2()-len([x for x in channels if eff[x].GetN() > 0])/2.*0.045)

    legS = TLegend(0.55, 0.85-0.045, 0.95, 0.85)
    legS.SetBorderSize(0)
    legS.SetFillStyle(0) #1001
    legS.SetFillColor(0)
    legS.AddEntry(eff['sum'], "Total efficiency", "pl")

    c1 = TCanvas("c1", "Signal Efficiency", 1200, 800)
    c1.cd(1)
    eff['sum'].Draw("APL")
    for i, channel in enumerate(channels): eff[channel].Draw("SAME, PL")
    leg.Draw()
    legS.Draw()
    setHistStyle(eff["sum"], 1.1)
    eff["sum"].SetTitle(";m_{"+stype[1]+"'} (GeV);Acceptance #times efficiency")
    eff["sum"].SetMinimum(0.)
    eff["sum"].SetMaximum(max(1., maxEff*1.5)) #0.65
    eff["sum"].GetXaxis().SetTitleSize(0.045)
    eff["sum"].GetYaxis().SetTitleSize(0.045)
    eff["sum"].GetYaxis().SetTitleOffset(1.1)
    eff["sum"].GetXaxis().SetTitleOffset(1.05)
    eff["sum"].GetXaxis().SetRangeUser(750, 5500)
    if stype=='XWH' or (stype=='XZH' and Zlep): line = drawLine(750, 2./3., 4500, 2./3.)
    drawCMS(-1,YEAR, "Simulation") #Preliminary
    drawAnalysis("ZH")

    suffix = ""
    if stype=='XZH' and Zlep: suffix = "ll"
    elif stype=='XZH' and not Zlep: suffix = "nn"
    elif stype=='XWH': suffix = "ln"

    c1.Print("plotsSignal/Efficiency/"+stype+suffix+".pdf")
    c1.Print("plotsSignal/Efficiency/"+stype+suffix+".png")

    # print
    print "category",
    for m in range(0, eff["sum"].GetN()):
        print " & %d" % int(eff["sum"].GetX()[m]),
    print "\\\\", "\n\\hline"
    for i, channel in enumerate(channels+["sum"]):
        if channel=='sum': print "\\hline"
        print getChannel(channel).replace("high ", "H").replace("low ", "L").replace("purity", "P").replace("b-tag", ""),
        for m in range(0, eff[channel].GetN()):
            print "& %.1f" % (100.*eff[channel].GetY()[m]),
        print "\\\\"
コード例 #2
0
def efficiencyAll():
    #signals = {'XZHeebb':['eebb'],'XZHmmbb':['mmbb'],'XZHnnbb':['nnbb'],'XZHee0b':['ee0b'],'XZHmm0b':['mm0b'],'XZHnn0b':['nn0b'],'XZHVBFeebbVBF':['eebbVBF'],'XZHVBFmmbbVBF':['mmbbVBF'],'XZHVBFnnbbVBF':['nnbbVBF'],'XZHVBFee0bVBF':['ee0bVBF'],'XZHVBFmm0bVBF':['mm0bVBF'],'XZHVBFnn0bVBF':['nn0bVBF']}
    labels = {'XZHeebb' : "eeb#bar{b}",'XZHmmbb' : "#mu#mub#bar{b}",'XZHnnbb' : "#nu#nub#bar{b}",'XZHee0b' : "ee0b",'XZHmm0b' : "#mu#mu0b",'XZHnn0b' : "#nu#nu0b",'XZHVBFeebbVBF' : "eeb#bar{b}VBF",'XZHVBFmmbbVBF' : "#mu#mub#bar{b}VBF",'XZHVBFnnbbVBF' : "#nu#nub#bar{b}VBF",'XZHVBFee0bVBF' : "ee0bVBF",'XZHVBFmm0bVBF' : "#mu#mu0bVBF",'XZHVBFnn0bVBF' : "#nu#nu0bVBF"}
    colors = {'XZHeebb' : 2, 'XZHmmbb' : 4, 'XZHnnbb' : 2,'XZHee0b' : 3, 'XZHmm0b' : 6, 'XZHnn0b' : 4,'XZHVBFeebbVBF' : 2, 'XZHVBFmmbbVBF' : 4, 'XZHVBFnnbbVBF' : 2,'XZHVBFee0bVBF' : 3, 'XZHVBFmm0bVBF' : 6, 'XZHVBFnn0bVBF' : 4}
    styles = {'XZHeebb' : 1, 'XZHmmbb' : 1, 'XZHnnbb' : 1,'XZHee0b' : 1, 'XZHmm0b' : 1, 'XZHnn0b' : 1,'XZHVBFeebbVBF' : 1, 'XZHVBFmmbbVBF' : 1, 'XZHVBFnnbbVBF' : 1,'XZHVBFee0bVBF' : 1, 'XZHVBFmm0bVBF' : 1, 'XZHVBFnn0bVBF' : 1}
    marker = {'XZHeebb' : 22, 'XZHmmbb' : 20, 'XZHnnbb' : 22,'XZHee0b' : 22, 'XZHmm0b' : 20, 'XZHnn0b' : 20, 'XZHVBFeebbVBF' : 22, 'XZHVBFmmbbVBF' : 20, 'XZHVBFnnbbVBF' : 22,'XZHVBFee0bVBF' : 22, 'XZHVBFmm0bVBF' : 20, 'XZHVBFnn0bVBF' : 20}
    genPoints = [800, 1000, 1200, 1400, 1600, 1800, 2000, 2500, 3000, 3500, 4000, 4500, 5000]
    eff = {}

    for signal_samples in ['ZlepHinc','ZinvHinc','ZinvHincVBF','ZlepHincVBF']:
        if signal_samples == 'ZinvHinc':
            signals = {'XZHnnbb':['nnbb'],'XZHnn0b':['nn0b']}
            sign_list = ['XZHnnbb','XZHnn0b']
        elif signal_samples == 'ZlepHinc':
            signals = {'XZHeebb':['eebb'],'XZHmmbb':['mmbb'],'XZHee0b':['ee0b'],'XZHmm0b':['mm0b']}
            sign_list = ['XZHeebb','XZHmmbb','XZHee0b', 'XZHmm0b']
        elif signal_samples == 'ZinvHincVBF':
            signals = {'XZHVBFnnbbVBF':['nnbbVBF'],'XZHVBFnn0bVBF':['nn0bVBF']}
            sign_list = ['XZHVBFnnbbVBF', 'XZHVBFnn0bVBF']
        elif signal_samples == 'ZlepHincVBF':
            signals = {'XZHVBFeebbVBF':['eebbVBF'],'XZHVBFmmbbVBF':['mmbbVBF'],'XZHVBFee0bVBF':['ee0bVBF'],'XZHVBFmm0bVBF':['mm0bVBF']}
            sign_list = ['XZHVBFeebbVBF', 'XZHVBFmmbbVBF','XZHVBFee0bVBF', 'XZHVBFmm0bVBF']
        for sign, channels in signals.iteritems():
      
            treeSign = {}
            ngenSign = {}
            nevtSign = {}
            eff[sign] = TGraphErrors()
            eff[sign].SetTitle(sign)
            eff[sign].SetMarkerColor(colors[sign])
            eff[sign].SetMarkerSize(1.25)
            eff[sign].SetLineColor(colors[sign])
            eff[sign].SetLineWidth(2)
            eff[sign].SetLineStyle(styles[sign])
            eff[sign].SetMarkerStyle(marker[sign])

            for i, m in enumerate(genPoints):
                neff = 0.
                for channel in channels:
                    if signal_samples == 'ZinvHinc':
                        file_list = ['Ntuples2016/XZH/ZprimeToZHToZinvHall_narrow_M%s'%m,'Ntuples2017/XZH/ZprimeToZHToZinvHall_narrow_M%s'%m,'Ntuples2018/XZH/ZprimeToZHToZinvHall_narrow_M%s'%m]
                    elif signal_samples == 'ZlepHinc':
                        file_list = ['Ntuples2016/XZH/ZprimeToZHToZlepHinc_narrow_M%s'%m,'Ntuples2017/XZH/ZprimeToZHToZlepHinc_narrow_M%s'%m,'Ntuples2018/XZH/ZprimeToZHToZlepHinc_narrow_M%s'%m]
                    elif signal_samples == 'ZinvHincVBF':
                        file_list = ['Ntuples2016/XZHVBF/Zprime_VBF_Zh_Zinvhinc_narrow_M-%s'%m,'Ntuples2017/XZHVBF/Zprime_VBF_Zh_Zinvhinc_narrow_M-%s'%m,'Ntuples2018/XZHVBF/Zprime_VBF_Zh_Zinvhinc_narrow_M-%s'%m]
                    elif signal_samples == 'ZlepHincVBF':
                        file_list = ['Ntuples2016/XZHVBF/Zprime_VBF_Zh_Zlephinc_narrow_M-%s'%m,'Ntuples2017/XZHVBF/Zprime_VBF_Zh_Zlephinc_narrow_M-%s'%m,'Ntuples2018/XZHVBF/Zprime_VBF_Zh_Zlephinc_narrow_M-%s'%m]
                    #if not 'VBF' in channel:
                    #    signMass = "XZH_M%d" % m
                    #else:
                    #    signMass = "XZHVBF_M%d" % m
                    ngenSign[m] = 0.
                    nevtSign[m] = 0.
                    #for j, ss in enumerate(sample[signMass]['files']):
                    for j, ss in enumerate(file_list):
                        sfile = TFile(NTUPLEDIR + ss + ".root", "READ")
                        if not sfile.Get("Events")==None:
                            ngenSign[m] += sfile.Get("Events").GetEntries()
                            # From trees
                            treeSign[m] = sfile.Get("tree")
                            nevtSign[m] += treeSign[m].GetEntries(selection[channel] + selection['SR'])
                        else:
                            ngenSign[m] = -1
                            print "Failed reading file", NTUPLEDIR + ss + ".root"
                        sfile.Close()
                    if nevtSign[m] == 0 or ngenSign[m] < 0: continue
                    # Gen Br
                    #print "m:",m
                    #print "nevtSign:",nevtSign[m]
                    #print "ngenSign:",ngenSign[m]
                    neff += nevtSign[m]/ngenSign[m]
                if 'ln' in sign or 'll' in sign: neff *= 1.5
                n = eff[sign].GetN()
                eff[sign].SetPoint(n, m, neff)
                eff[sign].SetPointError(n, 0, 0)

        n = 0. #max([eff[x].GetN() for x in channels])
        maxEff = 0.
        #sign_list = ['XZHeebb','XZHmmbb','XZHnnbb', 'XZHee0b', 'XZHmm0b', 'XZHnn0b','XZHVBFeebbVBF', 'XZHVBFmmbbVBF', 'XZHVBFnnbbVBF','XZHVBFee0bVBF', 'XZHVBFmm0bVBF', 'XZHVBFnn0bVBF']
        leg = TLegend(0.15, 0.15, 0.95, 0.35)
        #leg = TLegend(0.15, 0.7, 0.95, 0.8)
        leg.SetBorderSize(0)
        leg.SetFillStyle(0) #1001
        leg.SetFillColor(0)
        for sign in sign_list:
            #if eff[sign].GetN() > 0:
            leg.AddEntry(eff[sign], labels[sign], "pl")
            n += 1
        leg.SetNColumns(int(n/3))
        leg.SetY1(leg.GetY2()-n*0.045/leg.GetNColumns())
    
        n_error = max([eff[x].GetN() for x in sign_list])
    
        # Total efficiency
        eff["sum"] = TGraphErrors(n_error)
        eff["sum"].SetMarkerStyle(24)
        eff["sum"].SetMarkerColor(1)
        eff["sum"].SetLineWidth(2)
        for i in range(n_error):
            tot, mass = 0., 0.
            for sign in sign_list:
                if eff[sign].GetN() > i:
                    tot += eff[sign].GetY()[i]
                    mass = eff[sign].GetX()[i]
            if tot > maxEff: maxEff = tot
            eff["sum"].SetPoint(i, mass, tot)

        #legS = TLegend(0.55, 0.85-0.045, 0.95, 0.85)
        legS = TLegend(0.55, 0.35-0.045, 0.95, 0.35)
        legS.SetBorderSize(0)
        legS.SetFillStyle(0) #1001
        legS.SetFillColor(0)
        legS.AddEntry(eff['sum'], "%s Total efficiency"%signal_samples, "pl")

        c1 = TCanvas("c1", "Signal Efficiency", 1200, 800)
        c1.cd(1)
        c1.GetPad(0).SetTicks(1, 1)
        c1.SetLogy()
        first = sign_list[0]
        #if eff['XZHeebb'].GetN()!=0:
        #    first = 'XZHeebb'
        #else:
        #    first = 'XZHnnbb'
        eff[first].Draw("APL")
        for sign, channels in signals.iteritems():
            eff[sign].Draw("APL" if i==0 else "SAME, PL")
        eff["sum"].Draw("SAME, PL")
        leg.Draw()
        legS.Draw()

        setHistStyle(eff[first], 1.1)
        eff[first].SetTitle(";m_{X} (GeV);Acceptance #times efficiency")
        eff[first].SetMinimum(0.)
        eff[first].SetMaximum(max(1., maxEff*1.5)) #0.65
        eff[first].GetXaxis().SetTitleSize(0.045)
        eff[first].GetYaxis().SetTitleSize(0.045)
        eff[first].GetXaxis().SetLabelSize(0.045)
        eff[first].GetYaxis().SetLabelSize(0.045)
        eff[first].GetYaxis().SetTitleOffset(1.1)
        eff[first].GetXaxis().SetTitleOffset(1.05)
        eff[first].GetXaxis().SetRangeUser(750,5500)
        eff[first].GetYaxis().SetRangeUser(0., 0.4)
        drawCMS(-1,YEAR, "Simulation")
        """
        latex = TLatex()
        latex.SetNDC()
        latex.SetTextSize(0.05)
        latex.SetTextColor(1)
        latex.SetTextFont(42)
        latex.SetTextAlign(13)
        latex.DrawLatex(0.83, 0.99, "(13 TeV)")
        latex.SetTextFont(62)
        latex.SetTextSize(0.06)
        latex.DrawLatex(0.15, 0.90, "CMS")
        latex.SetTextSize(0.05)
        latex.SetTextFont(52)
        """
        #c1.Print("plotsSignal/Efficiency/Efficiency.pdf")
        #c1.Print("plotsSignal/Efficiency/Efficiency.png")
        c1.Print("plotsSignal/Efficiency/%s_Efficiency.pdf"%signal_samples)
        c1.Print("plotsSignal/Efficiency/%s_Efficiency.png"%signal_samples)
コード例 #3
0
def limit2HDM():
    global signals
    signals = range(800, 2000 + 1, 50)
    multF = HTOBB
    THEORY = ['T1', 'T2']

    mass, val = fillValues("./combine/AZh/AZh_M%d.txt")
    Obs0s = TGraph()
    Exp0s = TGraph()
    Exp1s = TGraphAsymmErrors()
    Exp2s = TGraphAsymmErrors()

    massB, valB = fillValues("./combine/BBAZh/BBAZh_M%d.txt")
    Obs0sB = TGraph()
    Exp0sB = TGraph()
    Exp1sB = TGraphAsymmErrors()
    Exp2sB = TGraphAsymmErrors()

    for i, m in enumerate(mass):
        if not m in val:
            print "Key Error:", m, "not in value map"
            continue

        n = Exp0s.GetN()
        Obs0s.SetPoint(n, m, val[m][0] * multF)
        Exp0s.SetPoint(n, m, val[m][3] * multF)
        Exp1s.SetPoint(n, m, val[m][3] * multF)
        Exp1s.SetPointError(n, 0., 0., val[m][3] * multF - val[m][2] * multF,
                            val[m][4] * multF - val[m][3] * multF)
        Exp2s.SetPoint(n, m, val[m][3] * multF)
        Exp2s.SetPointError(n, 0., 0., val[m][3] * multF - val[m][1] * multF,
                            val[m][5] * multF - val[m][3] * multF)

        Obs0sB.SetPoint(n, m, valB[m][0] * multF)
        Exp0sB.SetPoint(n, m, valB[m][3] * multF)
        Exp1sB.SetPoint(n, m, valB[m][3] * multF)
        Exp1sB.SetPointError(n, 0., 0.,
                             valB[m][3] * multF - valB[m][2] * multF,
                             valB[m][4] * multF - valB[m][3] * multF)
        Exp2sB.SetPoint(n, m, valB[m][3] * multF)
        Exp2sB.SetPointError(n, 0., 0.,
                             valB[m][3] * multF - valB[m][1] * multF,
                             valB[m][5] * multF - valB[m][3] * multF)

    col = 629
    Exp2s.SetLineWidth(2)
    Exp2s.SetLineStyle(1)
    Obs0s.SetLineWidth(3)
    Obs0s.SetMarkerStyle(0)
    Obs0s.SetLineColor(1)
    Exp0s.SetLineStyle(2)
    Exp0s.SetLineWidth(3)
    Exp0s.SetLineColor(1)
    #    Exp1s.SetFillColorAlpha(col, 0.4) #kGreen+1
    #    Exp1s.SetLineColorAlpha(col, 0.4)
    #    Exp2s.SetFillColorAlpha(col, 0.2) #kOrange
    #    Exp2s.SetLineColorAlpha(col, 0.2)
    Exp1s.SetFillColor(417)
    Exp1s.SetLineColor(417)
    Exp2s.SetFillColor(800)
    Exp2s.SetLineColor(800)

    colB = 922
    Exp2sB.SetLineWidth(2)
    Obs0sB.SetLineStyle(9)
    Obs0sB.SetLineWidth(3)
    Obs0sB.SetMarkerStyle(0)
    Obs0sB.SetLineColor(colB)
    Exp0sB.SetLineStyle(8)
    Exp0sB.SetLineWidth(3)
    Exp0sB.SetLineColor(colB)
    Exp1sB.SetFillColorAlpha(colB, 0.4)  #kGreen+1
    Exp1sB.SetLineColorAlpha(colB, 0.4)
    Exp2sB.SetFillColorAlpha(colB, 0.2)  #kOrange
    Exp2sB.SetLineColorAlpha(colB, 0.2)

    Exp2s.GetXaxis().SetTitle("m_{A} (GeV)")
    Exp2s.GetXaxis().SetTitleSize(Exp2s.GetXaxis().GetTitleSize() * 1.25)
    Exp2s.GetXaxis().SetNoExponent(True)
    Exp2s.GetXaxis().SetMoreLogLabels(True)
    Exp2s.GetYaxis().SetTitle(
        "#sigma(A) #bf{#it{#Beta}}(A #rightarrow Zh) #bf{#it{#Beta}}(h #rightarrow bb) (fb)"
    )
    Exp2s.GetYaxis().SetTitleOffset(1.5)
    Exp2s.GetYaxis().SetNoExponent(True)
    Exp2s.GetYaxis().SetMoreLogLabels()

    Theory = {}
    #for t in THEORY:
    #    Theory[t] = TGraphAsymmErrors()
    #    for m in sorted(THDM[t]['ggA'].keys()):
    #        if m < mass[0] or m > mass[-1]: continue
    #        Xs, Xs_Up, Xs_Down = 0., 0., 0.
    #        Xs = THDM[t]['ggA'][m]
    #        Xs_Up = Xs*(1.+math.sqrt((THDM['PDF']['ggA'][m][0]-1.)**2 + (THDM['QCD']['ggA'][m][0]-1.)**2))
    #        Xs_Down = Xs*(1.-math.sqrt((1.-THDM['PDF']['ggA'][m][1])**2 + (1.-THDM['QCD']['ggA'][m][1])**2))
    #        n = Theory[t].GetN()
    #        Theory[t].SetPoint(n, m, Xs)
    #        Theory[t].SetPointError(n, 0., 0., (Xs-Xs_Down), (Xs_Up-Xs))

    #    Theory[t].SetLineColor(theoryLineColor[t])
    #    Theory[t].SetFillColor(theoryFillColor[t])
    #    Theory[t].SetFillStyle(theoryFillStyle[t])
    #    Theory[t].SetLineWidth(2)
    #        #Theory[t].SetLineStyle(7)

    c1 = TCanvas("c1", "Exclusion Limits", 800, 600)
    c1.cd()
    #SetPad(c1.GetPad(0))
    c1.GetPad(0).SetTopMargin(0.06)
    c1.GetPad(0).SetRightMargin(0.05)
    c1.GetPad(0).SetLeftMargin(0.12)
    c1.GetPad(0).SetTicks(1, 1)
    c1.GetPad(0).SetLogy()
    Exp2s.Draw("A3")
    Exp1s.Draw("SAME, 3")
    Exp0s.Draw("SAME, L")
    #    Exp2sB.Draw("SAME, 3")
    #    Exp1sB.Draw("SAME, 3")
    Exp0sB.Draw("SAME, L")
    if not options.blind:
        Obs0s.Draw("SAME, L")
        Obs0sB.Draw("SAME, L")
    for t in THEORY:
        Theory[t].Draw("SAME, L3")
        Theory[t].Draw("SAME, L3X0Y0")
    #setHistStyle(Exp2s)


#    Exp2s.GetXaxis().SetTitleSize(0.045)
#    Exp2s.GetYaxis().SetTitleSize(0.04)
#    Exp2s.GetXaxis().SetLabelSize(0.04)
#    Exp2s.GetYaxis().SetLabelSize(0.04)
#    Exp2s.GetXaxis().SetTitleOffset(1)
#    Exp2s.GetYaxis().SetTitleOffset(1.25)
    Exp2s.GetXaxis().SetTitleSize(0.050)
    Exp2s.GetYaxis().SetTitleSize(0.050)
    Exp2s.GetXaxis().SetLabelSize(0.045)
    Exp2s.GetYaxis().SetLabelSize(0.045)
    Exp2s.GetXaxis().SetTitleOffset(0.90)
    Exp2s.GetYaxis().SetTitleOffset(1.25)
    Exp2s.GetYaxis().SetMoreLogLabels(True)
    Exp2s.GetYaxis().SetNoExponent(True)
    Exp2s.GetYaxis().SetRangeUser(0.5, 1.e3)
    Exp2s.GetXaxis().SetRangeUser(mass[0], mass[-1])
    drawAnalysis('AZh')
    drawRegion('AZHsl', True)
    drawCMS(LUMI, "")  #Preliminary
    #drawCMS(LUMI, "Work in Progress", suppressCMS=True)

    # legend
    leg = TLegend(0.6, 0.90, 0.99, 0.90)
    leg.SetBorderSize(0)
    leg.SetFillStyle(0)  #1001
    leg.SetFillColor(0)
    leg.SetHeader("95% CL upper limits")
    leg.AddEntry(None, "gg #rightarrow A #rightarrow Zh",
                 "")  #"95% CL upper limits"
    leg.AddEntry(Obs0s, "Observed", "l")
    leg.AddEntry(Exp0s, "Expected", "l")
    leg.AddEntry(Exp1s, "#pm 1 std. deviation", "f")
    leg.AddEntry(Exp2s, "#pm 2 std. deviation", "f")
    leg.AddEntry(None, "", "")
    leg.AddEntry(None, "bbA #rightarrow Zh", "")
    leg.AddEntry(Obs0sB, "Observed", "l")
    leg.AddEntry(Exp0sB, "Expected", "l")
    leg.SetY1(leg.GetY2() - leg.GetNRows() * 0.045)
    leg.Draw()

    #    latex = TLatex()
    #    latex.SetNDC()
    #    latex.SetTextSize(0.040)
    #    latex.SetTextFont(42)
    #    latex.DrawLatex(0.65, leg.GetY1()-0.045, "cos(#beta-#alpha)=0.25, tan(#beta)=1")

    #    legB = TLegend(0.12, 0.4-4*0.3/5., 0.65, 0.4)
    legB = TLegend(0.15, 0.27, 0.68, 0.27)
    legB.SetBorderSize(0)
    legB.SetFillStyle(0)  #1001
    legB.SetFillColor(0)
    for t in THEORY:
        legB.AddEntry(Theory[t], theoryLabel[t], "fl")
    legB.AddEntry(None, "cos(#beta-#alpha)=0.25, tan(#beta)=1", "")
    legB.SetY1(legB.GetY2() - legB.GetNRows() * 0.045)
    legB.Draw()

    c1.GetPad(0).RedrawAxis()
    leg.Draw()

    c1.Update()

    if not gROOT.IsBatch(): raw_input("Press Enter to continue...")

    c1.Print("plotsLimit/Exclusion/THDM.png")
    c1.Print("plotsLimit/Exclusion/THDM.pdf")
コード例 #4
0
def make_plot_all_rods(error_dict, rod_dict, name):
    

    leg = TLegend(0,0,0,0)
    if 'lock' in name:
        leg = TLegend(0.18,0.85,0.50,0.55)
    else:
        leg = TLegend(0.18,0.85,0.40,0.55)
    leg.SetLineColor(0)
    leg.SetFillStyle(0)
    leg.SetShadowColor(0)
    leg.SetBorderSize(0)
    leg.SetNColumns(3)
    gStyle.SetLegendTextSize(0.045)

   
    v_hists = []
    #for e,c in zip(error_bits, error_colors):
    for e in error_bits:
        h = TH1F('h'+e,'h'+e, len(rod_dict), 0, len(rod_dict))
        h.SetFillStyle(1001)
        h.SetLineWidth(0)
        v_hists.append(h)
        v_hists[-1].SetDirectory(0)
        if bin(int('0x'+e, 16))[2:].zfill(4) == '0111':
            leg.AddEntry(v_hists[-1],'GOL 3',"f");
        elif bin(int('0x'+e, 16))[2:].zfill(4) == '1011':
            leg.AddEntry(v_hists[-1],'GOL 2',"f");
        elif bin(int('0x'+e, 16))[2:].zfill(4) == '1101':
            leg.AddEntry(v_hists[-1],'GOL 1',"f");
        elif bin(int('0x'+e, 16))[2:].zfill(4) == '1110':
            leg.AddEntry(v_hists[-1],'GOL 0',"f");
        else:
            leg.AddEntry(v_hists[-1],bin(int('0x'+e, 16))[2:].zfill(4),"f");
    h = leg.GetY2()-leg.GetY1();
    w = leg.GetX2()-leg.GetX1()*.6;
    leg.SetMargin(leg.GetNColumns()*h/(leg.GetNRows()*w))
    

    for key,val in error_dict.items():
        idx_rod = 0
        for i, key2 in enumerate(rod_dict):
            if key2 == key[:8]:
                idx_rod = i
        v_hists[int(key[11:12], 16)].Fill(idx_rod, val)
  
    stack  = THStack("stack","stack")
    for hist in v_hists:
        stack.Add(hist)

    if 'buff' in name:
        c1 = TCanvas( 'c1', 'c1', 2000, 500)
    else:
        c1 = TCanvas( 'c1', 'c1', 1000, 500)


    h1 = TH1F('h_1','h_1', len(rod_dict), 0, len(rod_dict))
    for i, key in enumerate(rod_dict):
        h1.GetXaxis().SetBinLabel(i+1,key)
        h1.SetBinContent(i+1,rod_dict[key])

 
    h1.GetXaxis().LabelsOption("v")
    h1.GetXaxis().SetTitle("ROD")
    h1.GetXaxis().SetTitleOffset(2.2)
    h1.GetYaxis().SetTitle("# of rocketio errors")
    h1.SetLineColor(kRed)
    h1.SetLineWidth(1)

    leg.AddEntry(h1,'total',"l");
    
    c1.SetBottomMargin(0.23)  
    h1.GetXaxis().SetTitle("ROD")
    h1.Draw("HIST")
    stack.Draw("PFC PLC SAME HIST")
    h1.Draw("SAMEHIST")
    AtlasStyle.ATLAS_LABEL(0.19,.88, 1, "Internal")
    leg.Draw()
    c1.Update()
    c1.Print("plots/"+name +".pdf")
    c1.Clear()
コード例 #5
0
def MakeLegend(can,
               x1=.8,
               y1=.8,
               x2=.9,
               y2=.9,
               textsize=18,
               ncolumns=1,
               totalentries=0,
               option='f',
               skip=[]):
    from ROOT import TLegend, TH1, gStyle, TGraph
    if can.GetPrimitive('pad_top'):
        MakeLegend(can.GetPrimitive('pad_top'),
                   x1,
                   y1,
                   x2,
                   y2,
                   textsize,
                   ncolumns,
                   totalentries,
                   skip=skip)
        return
    if CanvasEmpty(can):
        print 'Error: trying to make legend from canvas with 0 plots. Will do nothing.'
        return
    #
    # if a previous version exists from this function, delete it
    #
    if can.GetPrimitive('legend'):
        can.GetPrimitive('legend').Delete()
    leg = TLegend(x1, y1, x2, y2)
    leg.SetName('legend')
    tobject_collector.append(leg)
    leg.SetTextFont(43)
    leg.SetTextSize(textsize)
    leg.SetTextFont(43)
    leg.SetBorderSize(0)
    leg.SetFillStyle(0)
    leg.SetNColumns(ncolumns)
    #
    # Add by TH1 GetTitle()
    #
    the_primitives = can.GetListOfPrimitives()
    if can.GetPrimitive('pad_top'):
        the_primitives = can.GetPrimitive('pad_top').GetListOfPrimitives()
    if can.GetPrimitive('stack'):
        the_stack = list(reversed(list(can.GetPrimitive('stack').GetHists())))
        the_primitives = the_stack + list(the_primitives)

    if type(option) == type(''):
        option = [option] * 100

    total = 0
    for i in the_primitives:
        if i.GetName() == 'stack': continue
        drawopt = i.GetDrawOption()
        if issubclass(type(i), TH1) or issubclass(type(i), TGraph):
            if i.GetTitle() in skip:
                continue
            leg.AddEntry(i, i.GetTitle(), option[total])  # plef
            total += 1

    #
    # Add empty entries to ensure a standard layout
    #
    for i in range(100):
        if totalentries == 0: break
        if total >= totalentries: break
        leg.AddEntry(None, '', '')
        total += 1

    # recipe for making roughly square boxes
    h = leg.GetY2() - leg.GetY1()
    w = leg.GetX2() - leg.GetX1()
    leg.SetMargin(leg.GetNColumns() * h / float(leg.GetNRows() * w))
    can.cd()
    if can.GetPrimitive('pad_top'):
        can.GetPrimitive('pad_top').cd()
    leg.Draw()
    can.Modified()
    can.Update()
    return
コード例 #6
0
def efficiency(year):
    import numpy as np
    from root_numpy import tree2array, fill_hist
    from aliases import AK8veto, electronVeto, muonVeto
    genPoints = [
        1800, 2000, 2500, 3000, 3500, 4000, 4500, 5000, 5500, 6000, 7000, 8000
    ]
    eff = {}
    vetoes = {"AK8": AK8veto, "electron": electronVeto, "muon": muonVeto}
    VETO = "AK8"  ##could change the veto to investigate here
    if SEPARATE: eff_add = {}

    #channels = ['none', 'qq', 'bq', 'bb', 'mumu']
    channels = ['qq', 'bq', 'bb', 'mumu']

    for channel in channels:
        treeSign = {}
        ngenSign = {}
        nevtSign = {}
        eff[channel] = TGraphErrors()
        if SEPARATE:
            nevtSign_add = {}
            eff_add[channel] = TGraphErrors()

        for i, m in enumerate(genPoints):
            signName = "ZpBB_M" + str(m)
            ngenSign[m] = 0.
            nevtSign[m] = 0.
            if SEPARATE: nevtSign_add[m] = 0.
            for j, ss in enumerate(sample[signName]['files']):
                if year == "run2" or year in ss:
                    sfile = TFile(NTUPLEDIR + ss + ".root", "READ")
                    ngenSign[m] += sfile.Get("Events").GetBinContent(1)
                    treeSign[m] = sfile.Get("tree")
                    if BTAGGING == 'semimedium':
                        #if SEPARATE:
                        #    temp_array = tree2array(treeSign[m], branches='BTagAK4Weight_deepJet', selection=aliasSM[channel].replace(vetoes[VETO], ""))
                        #else:
                        temp_array = tree2array(
                            treeSign[m],
                            branches='BTagAK4Weight_deepJet',
                            selection=aliasSM[channel])
                        temp_hist = TH1F('pass', 'pass', 1, 0, 1)
                        fill_hist(temp_hist,
                                  np.zeros(len(temp_array)),
                                  weights=temp_array)
                        nevtSign[m] += temp_hist.GetBinContent(1)
                        temp_array = None
                        temp_hist.Reset()
                        if SEPARATE:
                            temp_array = tree2array(
                                treeSign[m],
                                branches='BTagAK4Weight_deepJet',
                                selection=aliasSM[channel].replace(
                                    vetoes[VETO], ""))
                            temp_hist = TH1F('pass', 'pass', 1, 0, 1)
                            fill_hist(temp_hist,
                                      np.zeros(len(temp_array)),
                                      weights=temp_array)
                            nevtSign[m] += temp_hist.GetBinContent(1)
                            temp_array = None
                            temp_hist.Reset()
                    else:
                        #if SEPARATE:
                        #    temp_array = tree2array(treeSign[m], branches='BTagAK4Weight_deepJet', selection=alias[channel].format(WP=working_points[BTAGGING]).replace(vetoes[VETO], ""))
                        #else:
                        temp_array = tree2array(
                            treeSign[m],
                            branches='BTagAK4Weight_deepJet',
                            selection=alias[channel].format(
                                WP=working_points[BTAGGING]))
                        temp_hist = TH1F('pass', 'pass', 1, 0, 1)
                        fill_hist(temp_hist,
                                  np.zeros(len(temp_array)),
                                  weights=temp_array)
                        nevtSign[m] += temp_hist.GetBinContent(1)
                        temp_array = None
                        temp_hist.Reset()
                        if SEPARATE:
                            temp_array = tree2array(
                                treeSign[m],
                                branches='BTagAK4Weight_deepJet',
                                selection=alias[channel].format(
                                    WP=working_points[BTAGGING]).replace(
                                        vetoes[VETO], ""))
                            temp_hist = TH1F('pass', 'pass', 1, 0, 1)
                            fill_hist(temp_hist,
                                      np.zeros(len(temp_array)),
                                      weights=temp_array)
                            nevtSign_add[m] += temp_hist.GetBinContent(1)
                            temp_array = None
                            temp_hist.Reset()

                    sfile.Close()
                    print channel, ss, ":", nevtSign[m], "/", ngenSign[
                        m], "=", nevtSign[m] / ngenSign[m]
            if nevtSign[m] == 0 or ngenSign[m] < 0: continue
            n = eff[channel].GetN()
            eff[channel].SetPoint(n, m, nevtSign[m] / ngenSign[m])
            eff[channel].SetPointError(n, 0,
                                       math.sqrt(nevtSign[m]) / ngenSign[m])
            if SEPARATE:
                eff_add[channel].SetPoint(n, m, nevtSign_add[m] / ngenSign[m])
                eff_add[channel].SetPointError(
                    n, 0,
                    math.sqrt(nevtSign_add[m]) / ngenSign[m])

        eff[channel].SetMarkerColor(color[channel])
        eff[channel].SetMarkerStyle(20)
        eff[channel].SetLineColor(color[channel])
        eff[channel].SetLineWidth(2)

        if SEPARATE:
            eff_add[channel].SetMarkerColor(color[channel] +
                                            color_shift[channel])
            eff_add[channel].SetMarkerStyle(21)
            eff_add[channel].SetLineColor(color[channel] +
                                          color_shift[channel])
            eff_add[channel].SetLineWidth(2)
            eff_add[channel].SetLineStyle(7)

        if channel == 'qq' or channel == 'none': eff[channel].SetLineStyle(3)

    n = max([eff[x].GetN() for x in channels])
    maxEff = 0.

    # Total efficiency
    eff["sum"] = TGraphErrors(n)
    eff["sum"].SetMarkerStyle(24)
    eff["sum"].SetMarkerColor(1)
    eff["sum"].SetLineWidth(2)

    if SEPARATE:
        eff_add["sum"] = TGraphErrors(n)
        eff_add["sum"].SetMarkerStyle(25)
        eff_add["sum"].SetMarkerColor(1)
        eff_add["sum"].SetLineWidth(2)
        eff_add["sum"].SetLineStyle(7)

    for i in range(n):
        tot, mass = 0., 0.
        if SEPARATE: tot_add = 0.
        for channel in channels:
            if channel == 'qq' or channel == 'none':
                continue  #not sure if I should include 2mu category in sum
            if eff[channel].GetN() > i:
                tot += eff[channel].GetY()[i]
                if SEPARATE: tot_add += eff_add[channel].GetY()[i]
                mass = eff[channel].GetX()[i]
                if tot > maxEff: maxEff = tot
        eff["sum"].SetPoint(i, mass, tot)
        if SEPARATE: eff_add["sum"].SetPoint(i, mass, tot_add)

    if SEPARATE:
        leg = TLegend(0.15, 0.50, 0.95, 0.8)
    else:
        leg = TLegend(0.15, 0.60, 0.95, 0.8)
    leg.SetBorderSize(0)
    leg.SetFillStyle(0)  #1001
    leg.SetFillColor(0)
    leg.SetNColumns(len(channels) / 4)
    for i, channel in enumerate(channels):
        if eff[channel].GetN() > 0:
            leg.AddEntry(eff[channel], getChannel(channel), "pl")
            if SEPARATE:
                leg.AddEntry(eff_add[channel],
                             getChannel(channel) + " no " + VETO + "-veto",
                             "pl")
    if SEPARATE:
        leg.SetY1(leg.GetY2() -
                  len([x for x in channels if eff[x].GetN() > 0]) * 0.045)
    else:
        leg.SetY1(leg.GetY2() -
                  len([x for x in channels if eff[x].GetN() > 0]) / 2. * 0.045)
    if SEPARATE:
        legS = TLegend(0.5, 0.8 - 0.045, 0.9, 0.85)
    else:
        legS = TLegend(0.5, 0.85 - 0.045, 0.9, 0.85)
    legS.SetBorderSize(0)
    legS.SetFillStyle(0)  #1001
    legS.SetFillColor(0)
    legS.AddEntry(eff['sum'],
                  "Total b tag efficiency (1 b tag + 2 b tag + 2 #mu)", "pl")
    if SEPARATE:
        legS.AddEntry(eff_add['sum'],
                      "Total b tag efficiency, no " + VETO + "-veto", "pl")
    c1 = TCanvas("c1", "Signal Efficiency", 1200, 800)
    c1.cd(1)
    eff['sum'].Draw("APL")
    if SEPARATE: eff_add['sum'].Draw("SAME, PL")
    for i, channel in enumerate(channels):
        eff[channel].Draw("SAME, PL")
        if SEPARATE: eff_add[channel].Draw("SAME, PL")
    leg.Draw()
    legS.Draw()
    setHistStyle(eff["sum"], 1.1)
    eff["sum"].SetTitle(";m_{Z'} (GeV);Acceptance #times efficiency")
    eff["sum"].SetMinimum(0.)
    eff["sum"].SetMaximum(max(1., maxEff * 1.5))  #0.65
    if SEPARATE:
        eff_add["sum"].SetTitle(";m_{Z'} (GeV);Acceptance #times efficiency")
        eff_add["sum"].SetMinimum(0.)
        eff_add["sum"].SetMaximum(1.)

    eff["sum"].GetXaxis().SetTitleSize(0.045)
    eff["sum"].GetYaxis().SetTitleSize(0.045)
    eff["sum"].GetYaxis().SetTitleOffset(1.1)
    eff["sum"].GetXaxis().SetTitleOffset(1.05)
    eff["sum"].GetXaxis().SetRangeUser(1500, 8000)
    c1.SetTopMargin(0.05)
    #drawCMS(-1, "Simulation Preliminary", year=year) #Preliminary
    #drawCMS(-1, "Work in Progress", year=year, suppressCMS=True)
    drawCMS(-1, "", year=year, suppressCMS=True)
    drawAnalysis("")

    if SEPARATE:
        c1.Print("plots/Efficiency/" + year + "_" + BTAGGING + "_no" + VETO +
                 "veto.pdf")
        c1.Print("plots/Efficiency/" + year + "_" + BTAGGING + "_no" + VETO +
                 "veto.png")
    else:
        c1.Print("plots/Efficiency/" + year + "_" + BTAGGING + ".pdf")
        c1.Print("plots/Efficiency/" + year + "_" + BTAGGING + ".png")

    # print
    print "category",
    for m in range(0, eff["sum"].GetN()):
        print " & %d" % int(eff["sum"].GetX()[m]),
    print "\\\\", "\n\\hline"
    for i, channel in enumerate(channels + ["sum"]):
        if channel == 'sum': print "\\hline"
        print getChannel(channel).replace("high ", "H").replace(
            "low ", "L").replace("purity", "P").replace("b-tag", ""),
        for m in range(0, eff[channel].GetN()):
            print "& %.1f" % (100. * eff[channel].GetY()[m]),
        print "\\\\"
コード例 #7
0
def hvt(benchmark=['B3', 'A1']):

    hxs = {}
    hw = {}
    gxs = {}
    gw = {}
    mg = TMultiGraph()

    for m in massPoints:

        hxs[m] = TH2F("hxs_M%d" % m, ";;", 50, -0.04, 3.96, 100, 0., 2.)
        hw[m] = TH2F("hw_M%d" % m, ";;", 50, -0.04, 3.96, 50, 0., 2.)

    for m in massPoints:
        file = TFile.Open("HVT/scanHVT_M%s.root" % m, "READ")
        tree = file.Get("tree")
        for entry in range(
                tree.GetEntries()):  # Fill mass points only if NOT excluded
            tree.GetEntry(entry)
            gH, gF = tree.gv * tree.ch, tree.g * tree.g * tree.cq / tree.gv
            XsBr = tree.CX0 * tree.BRbb * 1000.  # in fb
            if XsBr < observed[m]: hxs[m].Fill(gH, gF)
            if tree.total_widthV0 / float(m) < width: hw[m].Fill(gH, gF)

        for b in range(hxs[m].GetNbinsX() * hxs[m].GetNbinsY()):
            hxs[m].SetBinContent(b, 1. if hxs[m].GetBinContent(b) > 0. else 0.)
            hw[m].SetBinContent(b, 1. if hw[m].GetBinContent(b) > 0. else 0.)

        #hxs[m].Smooth(20)
        #hw[m].Smooth(20)

        gxs[m] = getCurve(hxs[m])
        for i, g in enumerate(gxs[m]):
            g.SetLineColor(massColors[m])
            g.SetFillColor(massColors[m])
            g.SetFillStyle(massFill[m])  #(3345 if i>1 else 3354)
            g.SetLineWidth(503 * (1 if i < 2 else -1))
            mg.Add(g)

        #if m==3000:
        if m == massPoints[-1]:
            gw[m] = getCurve(hw[m])
            for i, g in enumerate(gw[m]):
                g.SetPoint(0, 0., g.GetY()[0])
                g.SetLineWidth(501 * (1 if i < 2 else -1))
                g.SetLineColor(920 + 2)
                g.SetFillColor(920 + 1)
                g.SetFillStyle(3003)
                mg.Add(g)

    if options.root:
        outFile = TFile("plotsLimit/Model.root", "RECREATE")
        outFile.cd()
        for m in massPoints:
            mg[m].Write("X_M%d" % m)
        mgW.Write("width")
        outFile.Close()
        print "Saved histogram in file plotsLimit/Model.root, exiting..."
        exit()

    ### plot ###

    c1 = TCanvas("c1", "HVT Exclusion Limits", 800, 600)
    c1.cd()
    c1.GetPad(0).SetTopMargin(0.06)
    c1.GetPad(0).SetRightMargin(0.05)
    c1.GetPad(0).SetTicks(1, 1)
    mg.Draw("AC")
    #mg.GetXaxis().SetTitle("g_{V} c_{H}")
    mg.GetXaxis().SetTitle("Higgs and vector boson coupling g_{H}")
    mg.GetXaxis().SetRangeUser(-3., 3.)
    mg.GetXaxis().SetLabelSize(0.045)
    mg.GetXaxis().SetTitleSize(0.045)
    mg.GetXaxis().SetTitleOffset(1.)
    #mg.GetYaxis().SetTitle("g^{2} c_{F} / g_{V}")
    mg.GetYaxis().SetTitle("Fermion coupling g_{F}")
    mg.GetYaxis().SetLabelSize(0.045)
    mg.GetYaxis().SetTitleSize(0.045)
    mg.GetYaxis().SetTitleOffset(1.)
    mg.GetYaxis().SetRangeUser(-1.2, 1.2)
    mg.GetYaxis().SetNdivisions(505)
    #    hxs[3500].Draw("CONTZ")

    drawCMS(LUMI, "Preliminary", False)
    #    drawAnalysis("XVH"+category, False)
    #    latex = TLatex()
    #    latex.SetNDC()
    #    latex.SetTextFont(62)
    #    latex.SetTextSize(0.06)
    #    latex.DrawLatex(0.10, 0.925, "CMS")

    # model B
    g_model = {}
    for i, b in enumerate(benchmark):
        g_model[i] = TGraph(1)
        g_model[i].SetTitle(models_name[b])
        g_model[i].SetPoint(0, models_point[b][0], models_point[b][1])
        g_model[i].SetMarkerStyle(models_style[b])
        g_model[i].SetMarkerColor(models_color[b])
        g_model[i].SetMarkerSize(1.5)
        g_model[i].Draw("PSAME")

    # text
    latex = TLatex()
    latex.SetTextSize(0.045)
    latex.SetTextFont(42)
    latex.SetTextColor(630)
    #    for b in benchmark: latex.DrawLatex(models_point[b][0]+0.02, models_point[b][1]+0.02, models_name[b])
    latex.SetTextColor(920 + 2)
    latex.DrawLatex(-2.8, -0.875,
                    "#frac{#Gamma_{Z'}}{m_{Z'}} > %.0f%%" % (width * 100, ))

    #leg = TLegend(0.68, 0.60, 0.95, 0.94)
    leg = TLegend(0.68, 0.34, 0.95, 0.66)
    leg.SetBorderSize(1)
    leg.SetFillStyle(1001)
    leg.SetFillColor(0)
    for m in massPoints:
        leg.AddEntry(gxs[m][0], "m_{Z'} = %.1f TeV" % (m / 1000.), "fl")
    for i, b in enumerate(benchmark):
        leg.AddEntry(g_model[i], g_model[i].GetTitle(), "P")
    leg.SetY1(leg.GetY2() - leg.GetNRows() * 0.050)
    leg.SetMargin(0.35)
    leg.Draw()

    gxs_ = gxs[massPoints[0]][0].Clone("gxs_")
    gxs_.SetLineColor(1)
    #    gxs_.SetFillColor(1)

    latex.SetNDC()
    latex.SetTextColor(1)
    latex.SetTextSize(0.04)
    latex.SetTextFont(52)
    latex.DrawLatex(0.15, 0.95, "q#bar{q} #rightarrow Z' #rightarrow b#bar{b}")

    c1.Print("plots/model/HVT.png")
    c1.Print("plots/model/HVT.pdf")
    c1.Print("plots/model/HVT.root")
    c1.Print("plots/model/HVT.C")

    #g = 0.646879, cH = 0.976246, cF = 1.02433
    print "model B = [", 3 * 0.976246, ",", 0.646879 * 0.646879 * 1.02433 / 3, "]"

    if not gROOT.IsBatch(): raw_input("Press Enter to continue...")
コード例 #8
0
class ROOTPlot(PlotSpec): # pylint: disable=too-many-instance-attributes
    """ROOT specific implementation of PlotSpec
    """

    def __init__(self, **kwargs):
        super().__init__()

        # copy member variables from orig PlotSpec
        self.copy(kwargs.pop("orig", None))

        # It's a ROOT object and we control its name
        self.name = None

        # frame constructed to provide axes
        self.frame = None
        # ROOT objects
        self.objects = None
        # Styles to be used for the styles
        self.styles = None

        # text to be added
        self.pave_boxes = None

        # legend
        self.root_legend = None
        # labels of objects added to this ROOTPlot
        self.labels = None

        # lines added
        self._root_lines = []

        # TPad used for the plot
        self.pad = None
        # TODO: use PlotSpec's relative coordinates
        self.size = (300, 300)


    def __draw_objects(self):
        """Draw all objects
        """
        for obj, sty in zip(self.objects, self.styles):
            # adjust draw_option to always contain "same" in addition to
            # user specified options
            draw_option = "same" if not sty else f"same {sty.draw_options}"
            obj.Draw(draw_option)


    def __draw_lines(self):
        """Draw all lines
        """
        for l in self._lines:
            x_low = l.x_low
            x_up = l.x_up
            if l.x_orientation == "relative":
                x_range = self._axes[0].limits[1] - self._axes[0].limits[0]
                x_low = self._axes[0].limits[0] + l.x_low * x_range
                x_up = self._axes[0].limits[0] + l.x_up * x_range
            y_low = l.y_low
            y_up = l.y_up
            if l.y_orientation == "relative":
                y_range = self._axes[1].limits[1] - self._axes[1].limits[0]
                y_low = self._axes[1].limits[0] + l.y_low * y_range
                y_up = self._axes[1].limits[0] + l.y_up * y_range
            line = TLine(x_low, y_low, x_up, y_up)
            apply_line_style(line, l.style)
            line.Draw()
            self._root_lines.append(line)


    def __draw_legends(self):
        """Encapsulate legend drawing
        """
        if self.root_legend:
            self.root_legend.Draw()


    def __style_objects(self, **kwargs):
        """Style all objects to be plotted

        Args:
            kwargs: dict
                "keep_stats" to keep potential stats boxes associated with
                e.g. histograms
        """
        # TODO Make that static again
        keep_stats = kwargs.pop("keep_stats", False)
        #scale = sqrt(self.size[0] * self.size[1] / SCALE_BASE)
        for obj, style in zip(self.objects, self.styles):
            style_object(obj, style) # , scale)
            if not keep_stats:
                try_method(obj, "SetStats", 0)


    def add_object(self, root_object, style=None, label=None):
        """Add a ROOT object to be plotted inside this ROOTPlot

        Args:
            object: ROOT object to be added
            style: either Style or None, default None
            label: str to appear in the legend or None, default None
        """

        # Prepare lists
        if not self.objects:
            self.objects = []
        if not self.styles:
            self.styles = []
        if not self.labels:
            self.labels = []

        # clone the ROOT object and don't touch the original one
        self.objects.append(clone_root(root_object))
        self.styles.append(style)
        self.labels.append(label)


    def __create_frame(self, **kwargs):
        """Make the frame used to plot the axes

        Args:
            kwargs: dict
                x_axis_title: str for x-axis title
                y_axis_title: str for x-axis title
                use_any_titles: bool whether or not to use any titles
                                defined for any of the ROOT objects in case
                                title for x- or y-axis are not specified by
                                the user

        """
        self._axes[0].title = kwargs.pop("x_axis_title", self._axes[0].title)
        self._axes[1].title = kwargs.pop("y_axis_title", self._axes[1].title)
        use_any_titles = kwargs.pop("use_any_titles", True)

        # pylint: disable=protected-access
        x_force_limits = False
        if self._share_x:
            self._axes[0].limits[0] = self._share_x._axes[0].limits[0]
            self._axes[0].limits[1] = self._share_x._axes[0].limits[1]
            x_force_limits = True

        y_force_limits = False
        if self._share_y:
            self._axes[1].limits[0] = self._share_y._axes[1].limits[0]
            self._axes[1].limits[1] = self._share_y._axes[1].limits[1]
            y_force_limits = True
        # pylint: enable=protected-access

        # Find the x- and y-limits for this plot
        x_low, x_up, y_low, y_up, z_low, z_up = \
        find_boundaries(self.objects, self._axes[0].limits[0],
        self._axes[0].limits[1], self._axes[1].limits[0],
        self._axes[1].limits[1], self._axes[2].limits[0],
        self._axes[2].limits[1],
        reserve_ndc_top=kwargs.pop("reserve_ndc_top", None),
        reserve_ndc_bottom=kwargs.pop("reserve_ndc_bottom", None), x_force_limits=x_force_limits,
        y_force_limits=y_force_limits, x_log=self._axes[0].is_log, y_log=self._axes[1].is_log,
        y_account_for_errors=self._axes[1].account_for_errors)

        # add titles to axes if not specified by the user by trying to
        # use those which are set for any ROOT object
        if use_any_titles and \
        (not self._axes[0].title or not self._axes[1].title):
            for obj in self.objects:
                if not self._axes[0].title and hasattr(obj, "GetXaxis"):
                    self._axes[0].title = obj.GetXaxis().GetTitle()
                if not self._axes[1].title and hasattr(obj, "GetYaxis"):
                    self._axes[1].title = obj.GetYaxis().GetTitle()
                if self._axes[0].title and self._axes[1].title:
                    break

        # Finally create the frame for this plot
        frame_title = self._title if self._title else ""
        frame_string = f"{frame_title};{self._axes[0].title};{self._axes[1].title}"
        self.frame = self.pad.DrawFrame(x_low, y_low, x_up, y_up,
                                        frame_string)
        self._axes[0].limits[0] = x_low
        self._axes[0].limits[1] = x_up
        self._axes[1].limits[0] = y_low
        self._axes[1].limits[1] = y_up
        self._axes[2].limits[0] = z_low
        self._axes[2].limits[1] = z_up

        # Give the frame a unique name, for now just because we do it for
        # ROOT related object
        self.frame.SetName(f"{self.name}_frame")


    def __adjust_text_size(self, size):
        return int(max(1, size * self._parent_figure_spec.size[1]))

    def __adjust_text_size_x(self, size):
        """Helper method to adjust text sizes for x-axis' title and labels

        TODO That has to be revised
        """
        return size / (self._rel_coordinates[2] - self._rel_coordinates[0])

    def __adjust_text_size_y(self, size):
        """Helper method to adjust text sizes for y-axis' title and labels

        TODO That has to be revised
        """
        return size / (self._rel_coordinates[3] - self._rel_coordinates[1])

    def __adjust_row_margin(self, margin):
        """Helper method to recompute the relative row margin in the TPad
        based on the relative values of the user defined for the FigureSpec
        """
        return margin / (self._rel_coordinates[3] - self._rel_coordinates[1])

    def __adjust_column_margin(self, margin):
        """Helper method to recompute the relative column margin in the
        TPad based on the relative values of the user defined for the
        FigureSpec
        """
        return margin / (self._rel_coordinates[2] - self._rel_coordinates[0])

    def __adjust_tick_size_x(self, size):
        """Helper method to adjust the x-tick lengths accordingly
        """
        return size / ((self.pad.GetUxmax() - self.pad.GetUxmin()) / \
        (self.pad.GetX2()-self.pad.GetX1()) * \
        (self._rel_coordinates[3] - self._rel_coordinates[1]))

    def __adjust_tick_size_y(self, size):
        """Helper method to adjust the y-tick lengths accordingly
        """
        return size / ((self.pad.GetUymax() - self.pad.GetUymin()) / \
        (self.pad.GetY2()-self.pad.GetY1()) * \
        (self._rel_coordinates[2] - self._rel_coordinates[0]))


    def __adjust_legend_coordinates(self, coords):
        """Helper method to recompute the legend coordinates properly given
        the margins

        TODO This seems to work but needs to be revised to be sure
        """
        x_low = map_value(coords[0], 0, 1,
                          self.__adjust_column_margin(self._column_margins[0]),
                          1 - self.__adjust_column_margin(self._column_margins[1]))
        x_up = map_value(coords[2], 0, 1,
                          self.__adjust_column_margin(self._column_margins[0]),
                          1 - self.__adjust_column_margin(self._column_margins[1]))
        y_low = map_value(coords[1], 0, 1,
                          self.__adjust_row_margin(self._row_margins[0]),
                          1 - self.__adjust_row_margin(self._row_margins[1]))
        y_up = map_value(coords[3], 0, 1,
                          self.__adjust_row_margin(self._row_margins[0]),
                          1 - self.__adjust_row_margin(self._row_margins[1]))
        return [x_low, y_low, x_up, y_up]

    def __adjust_coordinate_x(self, x_in):
        return map_value(x_in, 0, 1,
                          self.__adjust_column_margin(self._column_margins[0]),
                          1 - self.__adjust_column_margin(self._column_margins[1]))

    def __adjust_coordinate_y(self, y_in):
        return map_value(y_in, 0, 1,
                          self.__adjust_row_margin(self._row_margins[0]),
                          1 - self.__adjust_row_margin(self._row_margins[1]))

    def __create_legends(self): # pylint: disable=too-many-branches
        """Create legend(s)

        So far it only makes one legend but it should be possible to create
        multiple in general
        """

        # count how many labels we want to have
        n_labels = sum(l is not None for l in self.labels)

        # just return if there are no labels
        if not n_labels:
            return

        # Adjust to account for number of columns
        n_labels = int(n_labels / self._legend_spec.n_columns)

        # Get the same legend positioning relative to the axes in the plot

        # adjust legend position starting from top right as default
        coordinates = [0.5, 0.7, 1, 0.89]
        if not isinstance(self._legend_spec.position, str):
            # assume relative coordinates
            coordinates = self._legend_spec.position
            # TODO that is rough
            if coordinates[3] < 0.5 and not self._legend_spec.principal_position:
                self._legend_spec.principal_position = "bottom"
            elif not self._legend_spec.principal_position:
                self._legend_spec.principal_position = "top"
        else:
            # deal with text string position
            # however, catch this one...
            if "left" in self._legend_spec.position and "right" in self._legend_spec.position:
                raise ValueError("Choose EITHER \"left\" OR \"right\" for legend positioning")
            if "bottom" in self._legend_spec.position and "top" in self._legend_spec.position:
                raise ValueError("Choose EITHER \"bottom\" OR \"top\" for legend positioning")

            # and now really adjust the coordinates
            if "left" in self._legend_spec.position:
                coordinates[0], coordinates[2] = (0.1, 0.5)
            if "bottom" in self._legend_spec.position:
                coordinates[1] = 0.1
                if not self._legend_spec.principal_position:
                    self._legend_spec.principal_position = "bottom"
            elif not self._legend_spec.principal_position:
                self._legend_spec.principal_position = "top"
        coordinates = self.__adjust_legend_coordinates(coordinates)
        if self._legend_spec.principal_position == "bottom":
            coordinates[3] = coordinates[1] + 0.05 * n_labels
        else:
            coordinates[1] = coordinates[3] - 0.05 * n_labels

        self.root_legend = TLegend(*coordinates)
        self.root_legend.SetNColumns(self._legend_spec.n_columns)
        # Make legend transparent and remove border
        self.root_legend.SetFillStyle(0)
        self.root_legend.SetLineWidth(0)
        # TODO this has to synced correctly with the line height of the legend which
        #      atm is 0.05 (see above)
        self.root_legend.SetTextFont(63)
        self.root_legend.SetTextSize(self.__adjust_text_size(self._legend_spec.text_size))

        for obj, lab in zip(self.objects, self.labels):
            if lab is None:
                continue
            self.root_legend.AddEntry(obj, lab)


    def __style_frame(self):
        """Style the frame axes
        """

        # recomupte tick lengths
        self.frame.GetXaxis().SetTickLength(self.__adjust_tick_size_x(self._axes[0].tick_size))
        self.frame.GetYaxis().SetTickLength(self.__adjust_tick_size_y(self._axes[1].tick_size))

        # limit number of digits, TODO maybe make it configurable in the future
        self.frame.GetYaxis().SetMaxDigits(4)

        if self._share_x:
            # no labels or title in case of shared x-axis
            self.frame.GetXaxis().SetTitleSize(0)
            self.frame.GetXaxis().SetLabelSize(0)
        else:
            axis = self.frame.GetXaxis()
            axis.SetLabelFont(63)
            axis.SetTitleFont(63)
            axis.SetTitleSize(self.__adjust_text_size(self._axes[0].title_size))
            axis.SetLabelSize(self.__adjust_text_size(self._axes[0].label_size))
            # TODO properly compute offsets, the following is a wild guess for now
            #margin = self.__adjust_row_margin(self._row_margins[0])
            if self._axes[0].title_offset is not None:
                axis.SetTitleOffset(self.__adjust_column_margin(self._axes[0].title_offset))
            #axis.SetTitleOffset(19 * margin)
        if self._share_y:
            # no labels or title in case of shared y-axis
            self.frame.GetYaxis().SetTitleSize(0)
            self.frame.GetYaxis().SetLabelSize(0)
        else:
            axis = self.frame.GetYaxis()
            axis.SetLabelFont(63)
            axis.SetTitleFont(63)
            axis.SetTitleSize(self.__adjust_text_size(self._axes[1].title_size))
            axis.SetLabelSize(self.__adjust_text_size(self._axes[1].label_size))
            # TODO properly compute offsets, the following is a wild guess for now
            #margin = self.__adjust_column_margin(self._column_margins[0])
            if self._axes[1].title_offset is not None:
                axis.SetTitleOffset(self.__adjust_column_margin(self._axes[1].title_offset))
            #axis.SetTitleOffset(23 * margin)


    def __draw_text(self):
        """Draw potential text into pad
        """
        if not self._texts:
            return

        if not self.pave_boxes:
            self.pave_boxes = []

        for text in self._texts:
            pave_box = TPaveText(self.__adjust_coordinate_x(text.x_low),
                                 self.__adjust_coordinate_y(text.y_low),
                                 self.__adjust_coordinate_x(1),
                                 self.__adjust_coordinate_y(text.y_low + text.size),
                                 "brNDC")
            pave_box.SetLineWidth(0)
            pave_box.AddText(text.text)
            pave_box.SetBorderSize(0)
            pave_box.SetFillStyle(0)
            pave_box.SetTextAlign(10)
            pave_box.SetTextFont(63)
            pave_box.SetTextSizePixels(self.__adjust_text_size(text.size))
            self.pave_boxes.append(pave_box)
            pave_box.Draw()


    def create(self, name, **kwargs):
        """Create this plot

        Args:
            name: str for TPad name
            kwargs: dict
                reserve_ndc_top: float to reserve relative space for the
                legend at the top
        """
        if not self.objects:
            return

        # remember if another TPad was active before
        prev_pad = gPad.cd() if gPad and gPad.GetName() != name else None

        self.name = name
        self.pad = TPad(name, "", *self._rel_coordinates)

        self.pad.Draw()

        if self._axes[1].is_log:
            self.pad.SetLogy()
        if self._axes[0].is_log:
            self.pad.SetLogx()

        # but for now change to this TPad
        self.pad.cd()


        # This HAS to come before the frame creation
        self.pad.SetLeftMargin(self.__adjust_column_margin(self._column_margins[0]))
        self.pad.SetRightMargin(self.__adjust_column_margin(self._column_margins[1]))

        self.pad.SetBottomMargin(self.__adjust_row_margin(self._row_margins[0]))
        self.pad.SetTopMargin(self.__adjust_row_margin(self._row_margins[1]))

        # Set ticks on either side, might be customisable in the future
        self.pad.SetTickx(1)
        self.pad.SetTicky(1)

        # style objects and create legend
        self.__style_objects(**kwargs)
        self.__create_legends()

        if self.root_legend and self._legend_spec.principal_position == "top":
            kwargs["reserve_ndc_top"] = \
            1 - map_value(self.root_legend.GetY1(),
                          self.__adjust_row_margin(self._row_margins[0]),
                          1 - self.__adjust_row_margin(self._row_margins[1]),
                          0, 1)
        elif self.root_legend and self._legend_spec.principal_position == "bottom":
            kwargs["reserve_ndc_bottom"] = \
            map_value(self.root_legend.GetY2(),
                          self.__adjust_row_margin(self._row_margins[0]),
                          1 - self.__adjust_row_margin(self._row_margins[1]),
                          0, 1)
        # Create the frame now everything is in place
        self.__create_frame(**kwargs)

        # adjust some frame axis properties
        self.__style_frame()

        # draw objects and legends
        self.__draw_objects()
        self.__draw_lines()
        self.__draw_legends()
        self.__draw_text()

        if prev_pad:
            # Don't spoil what the user might want to do afterwards
            prev_pad.cd()
コード例 #9
0
class Plot(object):
    """Structural class for representing, accessing, and maintaining references
    to ROOT graphical elements forming a plot, potentially with a ratio
    subplot.
    """

    # Plotting 'constants' for the plot class.  Ideally, one would allow these
    # to be flexible, but unfortunately ROOT's coordinate system is extremely
    # inconsistent and fragile, so it is best to fix these values here.  You
    # can change them dynamically with Plot.Whatever = value, but it is
    # probably best to leave them alone.
    # TODO: 600x600 and 800x600 are the ATLAS default for square and
    # rectangular plots respectively. Fix this when everything is calm.
    PLOT_WIDTH = 1280  # px
    PLOT_HEIGHT = 1024  # px
    #PLOT_MARGINS = (0.125, 0.05, 0.1, 0.1) # Left, Right, Bottom, Top
    PLOT_MARGINS = (0.125, 0.05, 0.1, 0.07)  # Left, Right, Bottom, Top
    PLOT_MARGINS_WITH_RATIO = (0.125, 0.05, 0.025, 0.1)
    PLOT_RATIO_MARGINS = (0.125, 0.05, 0.325, 0.05)
    PLOT_TITLE_X = 0.5
    PLOT_TITLE_Y = 0.95
    PLOT_TITLE_TEXT_SIZE = 0.04
    PLOT_TITLE_TEXT_COLOR = 1
    PLOT_TITLE_TEXT_FONT = 42
    PLOT_HEADER_HEIGHT = 400  # px
    PLOT_LEGEND_LEFT = 0.45
    PLOT_LEGEND_RIGHT = 0.95
    PLOT_LEGEND_BOTTOM = 0.7
    PLOT_LEGEND_BOTTOM_WITH_RATIO = 0.63
    PLOT_LEGEND_TOP = 0.90
    PLOT_LEGEND_TOP_WITH_RATIO = 0.86
    PLOT_LEGEND_TEXT_SIZE = 0.025
    PLOT_LEGEND_TEXT_SIZE_WITH_RATIO = 0.03
    PLOT_LEGEND_ROW_SIZE = 0.04
    PLOT_LEGEND_ROW_SIZE_WITH_RATIO = 0.045
    PLOT_LEGEND_N_COLUMNS = 1
    PLOT_LEGEND_PIVOT_COLUMNS = True
    PLOT_STAT_LEFT = 0.55
    PLOT_STAT_LEFT_WITH_RATIO = 0.60
    PLOT_STAT_RIGHT = 0.85
    PLOT_STAT_RIGHT_WITH_RATIO = 0.93
    PLOT_STAT_BOTTOM = 0.15
    PLOT_STAT_BOTTOM_WITH_RATIO = 0.07
    PLOT_STAT_TOP = 0.4
    PLOT_STAT_TOP_WITH_RATIO = 0.45
    PLOT_STAT_TEXT_FONT = 42
    PLOT_STAT_TEXT_SIZE = 0.03
    PLOT_STAT_TEXT_SIZE_WITH_RATIO = 0.04
    PLOT_RATIO_FRACTION = 0.3  # fraction of canvas height
    PLOT_X_AXIS_TITLE_SIZE = 0.042
    PLOT_X_AXIS_TITLE_SIZE_WITH_RATIO = 0.14
    PLOT_X_AXIS_TITLE_OFFSET = 0.95
    PLOT_X_AXIS_TITLE_OFFSET_WITH_RATIO = 0.96
    PLOT_X_AXIS_LABEL_SIZE_WITH_RATIO = 0.12
    PLOT_Y_AXIS_LABEL_OFFSET = 0.01
    PLOT_Y_AXIS_TITLE_SIZE = 0.042
    PLOT_Y_AXIS_TITLE_SIZE_WITH_RATIO = 0.06
    PLOT_Y_AXIS_TITLE_OFFSET = 1.0
    PLOT_Y_AXIS_TITLE_OFFSET_WITH_RATIO = 0.95
    PLOT_Y_AXIS_LABEL_SIZE_WITH_RATIO = 0.05
    PLOT_RATIO_Y_AXIS_TITLE_SIZE = 0.12
    PLOT_RATIO_Y_AXIS_TITLE_OFFSET = 0.40
    PLOT_RATIO_Y_AXIS_LABEL_SIZE = 0.12
    PLOT_RATIO_Y_AXIS_LABEL_OFFSET = PLOT_Y_AXIS_LABEL_OFFSET
    PLOT_RATIO_Y_AXIS_NDIVISIONS = 504
    PLOT_RATIO_Y_AXIS_MINIMUM = 0.6
    PLOT_RATIO_Y_AXIS_MAXIMUM = 1.4
    PLOT_ERROR_BAND_FILL_STYLE = 3254  # Diagonal lines
    PLOT_ERROR_BAND_FILL_COLOR = 13  # Gray
    PLOT_ERROR_BAND_LINE_WIDTH = 0
    PLOT_ERROR_BAND_LINE_COLOR = 0
    PLOT_RATIO_ERROR_BAND_FILL_STYLE = 3254  # Diagonal lines
    PLOT_RATIO_ERROR_BAND_FILL_COLOR = 807  # Orange
    PLOT_RATIO_ERROR_BAND_LINE_WIDTH = 0
    PLOT_RATIO_ERROR_BAND_LINE_COLOR = 0
    # Stamp settings
    PLOT_ATLAS_STAMP_TEXT_SIZE = 0.035
    PLOT_ATLAS_STAMP_TEXT_SIZE_WITH_RATIO = 0.05
    PLOT_ATLAS_STAMP_TEXT_COLOR = 1
    PLOT_ATLAS_STAMP_TEXT_FONT = 42
    PLOT_ATLAS_STAMP_LEFT = 0.18
    PLOT_ATLAS_STAMP_TOP = 0.875
    PLOT_ATLAS_STAMP_TOP_WITH_RATIO = 0.82
    # Stamp specializations
    PLOT_ATLAS_STAMP_ATLAS_TEXT_FONT = 72
    PLOT_ATLAS_STAMP_ATLAS_LABEL_LEFT = 0.28
    PLOT_ATLAS_STAMP_LUMINOSITY_OFFSET = 0.036
    PLOT_ATLAS_STAMP_LUMINOSITY_OFFSET_WITH_RATIO = 0.05
    PLOT_ATLAS_STAMP_LUMINOSITY_SIZE = 0.062
    PLOT_ATLAS_STAMP_LUMINOSITY_SIZE_WITH_RATIO = 0.085

    def __init__(self,
                 title='',
                 x_title=None,
                 y_title=None,
                 plot_header=True,
                 ratio=False,
                 x_range=None,
                 y_max=None,
                 y_log_scale=False):
        """Initializes a new instance of the Plot class.

        Args:
            title: The title to set for the histogram
            plot_header: Whether or not to include whitespace at the top of the
                plot for the ATLAS label and legend
            ratio: Whether or not to include a ratio plot
            x_range: A tuple of (x_min, x_max)
            y_max: The maximum Y axis value
            y_log_scale: Use log scale for Y axis
        """
        # Store the title
        self._title = title
        self._x_title, self._y_title = x_title, y_title

        # Store whether or not the user wants to create a plot header
        self._plot_header = plot_header

        # Calculate a unique name for the plot components
        name = _rand_uuid()

        # Create a canvas
        self._canvas = TCanvas(name + '_canvas', name, int(self.PLOT_WIDTH),
                               int(self.PLOT_HEIGHT))
        SetOwnership(self._canvas, False)

        # Create the main plot and draw it
        self._plot = TPad(name + '_plot', name, 0.0,
                          (self.PLOT_RATIO_FRACTION if ratio else 0.0), 1.0,
                          1.0)
        SetOwnership(self._plot, False)
        self._plot.SetMargin(
            *(self.PLOT_MARGINS_WITH_RATIO if ratio else self.PLOT_MARGINS))
        self._plot.Draw()

        # HACK: Draw the plot title.
        # https://root.cern.ch/phpBB3/viewtopic.php?t=18282. Wonderful.
        self._draw_title()

        # Store ranges
        self._x_range = x_range
        if y_max is not None:
            self._set_maximum_value(y_max)

        # Store log scale
        self._y_log_scale = y_log_scale

        # Switch back to the context of the canvas
        self._canvas.cd()

        # Create a ratio plot and draw it if requested
        if ratio:
            self._ratio_plot = TPad(name + '_ratio', name, 0.0, 0.0, 1.0,
                                    self.PLOT_RATIO_FRACTION)
            SetOwnership(self._ratio_plot, False)
            self._ratio_plot.SetMargin(*self.PLOT_RATIO_MARGINS)
            self._ratio_plot.SetGridy(True)
            self._ratio_plot.Draw()
        else:
            self._ratio_plot = None

        # Track whether or not we've already drawn to the main pad
        self._drawn = False

        # Track whether or not we've already drawn to the ratio pad
        self._ratio_drawn = False

        # Track that object which sets up the axes in the main plot
        self._axes_object = None

        # Create a structure to track any histograms we generate internally
        # which need to be added to any legends created
        self._legend_extras = []

        # Create lists of the cloned drawables, just to be certain
        self._drawables = []
        self._ratio_drawables = []

    def save(self, path, extensions=['pdf']):
        """Saves this plot to file.

        Args:
            path: The path where the plot should be saved.
        """
        # Force an update of the canvas
        self._canvas.Update()

        # Save to file
        for e in extensions:
            self._canvas.SaveAs(path + '.' + e)

    def _get_maximum_value(self):
        """Returns the currently set maximum value (possibly None).
        """
        if hasattr(self, '_maximum_value'):
            return self._maximum_value
        return None

    def _set_maximum_value(self, value):
        """Sets the current maximum value, possibly including room for a plot
        header.

        Args:
            value: The value to set
        """
        # Check if the current value is not None, and if so, throw an error
        # because this property should not be set twice
        if self._get_maximum_value() is not None:
            raise RuntimeError('maximum value should not be set twice')

        # If the value is None, ignore it
        if value is None:
            return

        # If the user wants a plot header, then add space for one
        if self._plot_header:
            # Grab the plot pad height (in pixels)
            plot_height = (self.PLOT_HEIGHT *
                           (self._plot.GetY2() - self._plot.GetY1()))

            # Adjust the height
            value *= (plot_height + self.PLOT_HEADER_HEIGHT) / plot_height

        # Set the value
        self._maximum_value = value

    def draw(self, *drawables_styles_options):
        """Plots a collection of plottables to the main plot pad.  All TH1
        objects are drawn with error bars.  THStack elements are only drawn
        with an error band if one is provided.

        This method may only be called once

        Args:
            drawables_styles_options: Each argument of this function must be
                of the form (object, style, options), where object is one of
                the following:

                - A TH1 object
                - A TH2 object
                - A THStack object
                - A tuple of the form (THStack, TGraph) where the latter
                  represents error bars
                - A TGraph object
                - A TLine object

                style is a tuple of the form (line_color, fill_color,
                marker_style), and options is a string which will be used for
                the options argument of the object's Draw method.  Plottables
                will be rendered in the order provided.  Axes drawing options
                (e.g.  'a' or 'same' should not be provided and will be set
                automatically).  A TLine may not be the first drawable
                element.
        """
        # Make sure there are drawables
        if len(drawables_styles_options) == 0:
            raise ValueError('must provide at least one plottable')

        # Check if we've already drawn
        if self._drawn:
            raise RuntimeError('cannot draw twice to a plot')
        self._drawn = True

        # Remove None-valued drawables
        drawables_styles_options = tuple(
            ((d, s, o) for d, s, o in drawables_styles_options
             if valid_drawable(d)))

        # Extract drawables
        drawables, _, _ = zip(*drawables_styles_options)

        # Check if there is a maximum value set, and if not, set it
        if self._get_maximum_value() is None:
            self._set_maximum_value(maximum_value(drawables))

        # Move to the context of the plot pad
        self._plot.cd()

        # Iterate through and draw drawables based on type
        first = True
        for drawable, style, option in drawables_styles_options:
            # Check if this a tuple of histogram, error_band
            if isinstance(drawable, tuple):
                drawable, error_band = drawable
            else:
                error_band = None

            # Make a clone of the drawable so we don't modify it
            o = clone(drawable)
            SetOwnership(o, False)

            # Add it to the list of drawables
            self._drawables.append(o)

            # Set the title appropriately
            if not is_line(o):
                o.SetTitle(drawable.GetTitle())

            # Style the drawable before it is drawn
            if style is not None:
                if is_line(drawable) or is_function(drawable):
                    if isinstance(style, dict):
                        style_line(o, **style)
                    else:
                        style_line(o, *style)
                else:
                    if isinstance(style, dict):
                        style_histogram(o, **style)
                    else:
                        style_histogram(o, *style)

            # Set the maximum value of the drawable if supported
            # HACK: I wish this could go into _handle_axes, but apparently it
            # can't because ROOT sucks and this has to be set on EVERY
            # drawable, not just the one with the axes.
            if is_scatter(o):
                o.SetMinimum(1 if self._y_log_scale else 0)
            if is_histo(o) or is_graph(o) or is_stack(o) or is_function(o):
                o.SetMaximum(self._get_maximum_value())
                # With TGraph, this is sometimes necessary. Perhaps with TH1
                # too. I'm not sure what happens if we set log scale, but
                # we'll cross that bridge then.
                o.SetMinimum(1 if self._y_log_scale else 0)

            # Include axes if we need to. Store the x-axis range.
            if first:
                if is_line(o):
                    raise ValueError('TLine may not be first drawable')
                if is_graph(o):
                    option += 'a'
            else:
                option += 'same'
            first = False

            # Draw the drawable
            o.Draw(option)

            # TODO: This method of plotting the stats box is a huge hack. We
            # should plot fit functions separately, and move the stats box
            # plotting to its own function. Home grow everything, the only
            # way you can make ROOT work.
            if is_graph(o) or is_histo(o):
                if len(o.GetListOfFunctions()) > 0:
                    # HACK: Need to call Update() to paint the fit stats
                    self._plot.Update()
                    stats = o.FindObject("stats")
                    if stats:
                        stats.SetTextFont(Plot.PLOT_STAT_TEXT_FONT)
                        stats.SetTextSize(
                            (Plot.PLOT_STAT_TEXT_SIZE_WITH_RATIO if
                             self._ratio_plot else Plot.PLOT_STAT_TEXT_SIZE))
                        stats.SetX1NDC(
                            (Plot.PLOT_STAT_LEFT_WITH_RATIO
                             if self._ratio_plot else Plot.PLOT_STAT_LEFT))
                        stats.SetY1NDC(
                            (Plot.PLOT_STAT_BOTTOM_WITH_RATIO
                             if self._ratio_plot else Plot.PLOT_STAT_BOTTOM))
                        stats.SetX2NDC(
                            (Plot.PLOT_STAT_RIGHT_WITH_RATIO
                             if self._ratio_plot else Plot.PLOT_STAT_RIGHT))
                        stats.SetY2NDC(
                            (Plot.PLOT_STAT_TOP_WITH_RATIO
                             if self._ratio_plot else Plot.PLOT_STAT_TOP))

            # Handle axes
            if not is_line(o):
                self._handle_axes(o, option)

            # If there is an error band, draw it
            if error_band is not None:
                self._draw_error_band(error_band)

        if self._y_log_scale:
            self._plot.SetLogy(1)

        # TODO: Verify this. It breaks 2D plotting.
        # HACK: Need to force a redraw of plot axes due to issue with ROOT:
        # http://root.cern.ch/phpBB3/viewtopic.php?f=3&t=14034
        #self._plot.RedrawAxis()

    def _handle_axes(self, drawable, option):
        """If there is no object currently registered as the owner of the axes
        drawn on the main plot, then this will set it.

        Args:
            drawable: The graph, histogram or stack whose axes were ALREADY
                drawn
            option: The option with which to draw the axes
        """
        # If we already have an axes object, ignore this one
        if self._axes_object is not None:
            return

        # Grab the histogram used for axes style/range manipulation
        if is_stack(drawable) or is_graph(drawable):
            axes_histogram = drawable.GetHistogram()
        else:
            axes_histogram = drawable
        self._axes_object = axes_histogram

        # Grab the histogram used for title manipulation
        if is_stack(drawable):
            title_histogram = drawable.GetHists()[0]
        else:
            title_histogram = drawable

        # Grab axes
        x_axis, y_axis = axes_histogram.GetXaxis(), axes_histogram.GetYaxis()

        # Grab titles from first histogram if not set explicitly
        if self._x_title is None:
            self._x_title = title_histogram.GetXaxis().GetTitle()
        if self._y_title is None:
            self._y_title = title_histogram.GetYaxis().GetTitle()

        if self._x_range is not None:
            #x_axis.SetRangeUser(*self._x_range)
            x_axis.SetLimits(*self._x_range)

        # Style x-axis, or hide it if this plot has a ratio plot
        if self._ratio_plot:
            x_axis.SetLabelOffset(999)
            x_axis.SetTitleOffset(999)
        else:
            x_axis.SetTitle(self._x_title)
            x_axis.SetTitleSize(self.PLOT_X_AXIS_TITLE_SIZE)
            x_axis.SetTitleOffset(self.PLOT_X_AXIS_TITLE_OFFSET)

        # Style y-axis
        if self._ratio_plot:
            y_axis.SetLabelSize(self.PLOT_Y_AXIS_LABEL_SIZE_WITH_RATIO)
        y_axis.SetLabelOffset(self.PLOT_Y_AXIS_LABEL_OFFSET)
        y_axis.SetTitle(self._y_title)
        y_axis.SetTitleSize(
            (self.PLOT_Y_AXIS_TITLE_SIZE_WITH_RATIO
             if self._ratio_plot else self.PLOT_Y_AXIS_TITLE_SIZE))
        y_axis.SetTitleOffset(
            (self.PLOT_Y_AXIS_TITLE_OFFSET_WITH_RATIO
             if self._ratio_plot else self.PLOT_Y_AXIS_TITLE_OFFSET))

        # Redraw the drawable with the new style
        drawable.Draw(option)

    def _draw_error_band(self, error_band):
        """Draws an error band on top of histogram objects.

        Args:
            error_band: The error band to draw (a TGraphAsymmErrors)
        """
        # Style it
        # HACK: Setting the marker style to 0 specifies this should be filled
        # in the legend
        error_band.SetMarkerStyle(0)
        error_band.SetMarkerSize(0)
        error_band.SetFillStyle(self.PLOT_ERROR_BAND_FILL_STYLE)
        error_band.SetFillColor(self.PLOT_ERROR_BAND_FILL_COLOR)
        error_band.SetLineWidth(self.PLOT_ERROR_BAND_LINE_WIDTH)
        error_band.SetLineColor(self.PLOT_ERROR_BAND_LINE_COLOR)

        # Draw it
        error_band.Draw('e2same')

        # Add it to the list of things we need to add to the legend
        self._legend_extras.append(error_band)

    def draw_ratio_histogram(self,
                             histogram,
                             draw_unity=True,
                             error_band=None):
        """Draws a ratio histogram to the ratio pad.

        Args:
            histogram: The ratio histogram to draw (use ratio_histogram)
            draw_unity: Whether or not to draw a line at 1
            error_band: An error band to draw under the ratio histogram
                (see owls_hep.uncertainty.ratio_uncertainty_band)

        The histogram X axis title is set by draw_histogram if not set
        explicitly. draw_ratio_histogram should therefore be called after
        draw_histogram.
        """
        # Check if we've already drawn
        if self._ratio_drawn:
            raise RuntimeError('cannot draw twice to a plot')
        self._ratio_drawn = True

        # Switch to the context of the ratio pad
        self._ratio_plot.cd()

        # Clone the histogram
        histogram = histogram.Clone(_rand_uuid())
        SetOwnership(histogram, False)

        # Style it
        x_axis, y_axis = histogram.GetXaxis(), histogram.GetYaxis()
        x_axis.SetTitleSize(self.PLOT_X_AXIS_TITLE_SIZE_WITH_RATIO)
        x_axis.SetTitleOffset(self.PLOT_X_AXIS_TITLE_OFFSET_WITH_RATIO)
        x_axis.SetLabelSize(self.PLOT_X_AXIS_LABEL_SIZE_WITH_RATIO)
        x_axis.SetTitle(self._x_title)
        if self._x_range:
            x_axis.SetLimits(*self._x_range)
            #x_axis.SetRangeUser(*self._x_range)
        else:
            x_axis.SetLimits(self._axes_object.GetXaxis().GetXmin(),
                             self._axes_object.GetXaxis().GetXmax())
            #x_axis.SetRangeUser(self._axes_object.GetXaxis().GetXmin(),
            #self._axes_object.GetXaxis().GetXmax())
        y_axis.SetTitleSize(self.PLOT_RATIO_Y_AXIS_TITLE_SIZE)
        y_axis.SetTitleOffset(self.PLOT_RATIO_Y_AXIS_TITLE_OFFSET)
        y_axis.SetLabelSize(self.PLOT_RATIO_Y_AXIS_LABEL_SIZE)
        y_axis.SetLabelOffset(self.PLOT_RATIO_Y_AXIS_LABEL_OFFSET)
        y_axis.SetRangeUser(self.PLOT_RATIO_Y_AXIS_MINIMUM,
                            self.PLOT_RATIO_Y_AXIS_MAXIMUM)
        y_axis.SetNdivisions(self.PLOT_RATIO_Y_AXIS_NDIVISIONS, False)

        # Draw it
        # NOTE: Have to specify E0 or points out of the vertical range won't
        # have their error bars drawn:
        #   https://root.cern.ch/phpBB3/viewtopic.php?f=3&t=13329
        # histogram.Draw('e0p')
        # NOTE: Or live with it and get rid of points from zero value bins
        histogram.Draw('ep')

        # Draw a line at unity if requested
        if draw_unity:
            # Calculate the line coordinates
            line_min = histogram.GetBinLowEdge(1)
            max_bin = histogram.GetNbinsX()
            line_max = (histogram.GetBinLowEdge(max_bin) +
                        histogram.GetBinWidth(max_bin))

            # Create and draw the line
            unit_line = TLine(line_min, 1.0, line_max, 1.0)
            SetOwnership(unit_line, False)
            unit_line.SetLineColor(2)  # Red
            unit_line.SetLineWidth(2)
            unit_line.Draw('same')

        # If an error band was provided, draw it and add it to our legend
        # elements
        if error_band:
            # Keep ownership of the error band
            SetOwnership(error_band, False)

            # Style it
            error_band.SetMarkerSize(0)
            error_band.SetFillStyle(self.PLOT_RATIO_ERROR_BAND_FILL_STYLE)
            error_band.SetFillColor(self.PLOT_RATIO_ERROR_BAND_FILL_COLOR)
            error_band.SetLineWidth(self.PLOT_RATIO_ERROR_BAND_LINE_WIDTH)
            error_band.SetLineColor(self.PLOT_RATIO_ERROR_BAND_LINE_COLOR)

            # Draw it
            error_band.Draw('e2same')

        # Now, if we've drawn unity or an error band, redraw our ratio
        # histogram so that its point lie on top of the unity line or error
        # band, but use 'same' so that the axes/ticks don't cover the red line
        if draw_unity or error_band:
            # histogram.Draw('e0psame')
            histogram.Draw('epsame')

    def draw_ratios(self,
                    drawables_styles_options,
                    draw_unity=True,
                    y_range=None,
                    y_title=None):
        """Draws a drawable to the ratio pad.

        Args:
            drawable: The drawable to draw
            draw_unity: Whether or not to draw a line at 1
        """
        # Check if we've already drawn
        if self._ratio_drawn:
            raise RuntimeError('cannot draw twice to a plot')
        self._ratio_drawn = True

        # Switch to the context of the ratio pad
        self._ratio_plot.cd()

        # Iterate through and draw drawables based on type
        first = True
        for drawable, style, option in drawables_styles_options:
            # Make a clone of the drawable so we don't modify it
            o = clone(drawable)
            SetOwnership(o, False)

            # Add it to the list of drawables
            self._ratio_drawables.append(o)

            # Set the title appropriately
            if not is_line(o):
                o.SetTitle(drawable.GetTitle())

            # Style the drawable before it is drawn
            if style is not None:
                if is_line(drawable) or is_function(drawable):
                    style_line(o, *style)
                else:
                    style_histogram(o, *style)

            if not is_line(o):
                if y_range is not None:
                    o.SetMinimum(y_range[0])
                    o.SetMaximum(y_range[1])

            # Include axes if we need
            if first:
                if is_line(o):
                    raise ValueError('TLine may not be first drawable')
                x_axis, y_axis = o.GetXaxis(), o.GetYaxis()
                if is_graph(o):
                    option += 'a'
            else:
                option += 'same'
            first = False

            # Draw the drawable
            o.Draw(option)

        x_axis.SetTitleSize(self.PLOT_X_AXIS_TITLE_SIZE_WITH_RATIO)
        x_axis.SetTitleOffset(self.PLOT_X_AXIS_TITLE_OFFSET_WITH_RATIO)
        x_axis.SetLabelSize(self.PLOT_X_AXIS_LABEL_SIZE_WITH_RATIO)
        x_axis.SetTitle(self._x_title)
        if self._x_range:
            x_axis.SetLimits(*self._x_range)
            #x_axis.SetRangeUser(*self._x_range)
        else:
            x_axis.SetLimits(self._axes_object.GetXaxis().GetXmin(),
                             self._axes_object.GetXaxis().GetXmax())
            #x_axis.SetRangeUser(self._axes_object.GetXaxis().GetXmin(),
            #self._axes_object.GetXaxis().GetXmax())
        y_axis.SetTitleSize(self.PLOT_RATIO_Y_AXIS_TITLE_SIZE)
        y_axis.SetTitleOffset(self.PLOT_RATIO_Y_AXIS_TITLE_OFFSET)
        y_axis.SetLabelSize(self.PLOT_RATIO_Y_AXIS_LABEL_SIZE)
        y_axis.SetLabelOffset(self.PLOT_RATIO_Y_AXIS_LABEL_OFFSET)
        y_axis.SetNdivisions(self.PLOT_RATIO_Y_AXIS_NDIVISIONS, False)
        if y_title is not None:
            y_axis.SetTitle(y_title)

        self._ratio_plot.Update()

    def _draw_title(self):
        """Draws a title on the plot.
        """
        title = TLatex()
        title.SetTextColor(self.PLOT_TITLE_TEXT_COLOR)
        title.SetTextFont(self.PLOT_TITLE_TEXT_FONT)
        title.SetNDC()
        title.SetTextSize(self.PLOT_TITLE_TEXT_SIZE)
        title.SetTextAlign(22)
        title.DrawLatex(self.PLOT_TITLE_X, self.PLOT_TITLE_Y, self._title)

    def draw_atlas_label(self,
                         luminosity=None,
                         sqrt_s=None,
                         custom_label=None,
                         atlas_label=None):
        """Draws an ATLAS stamp on the plot, with an optional categorization
        label.

        It is recommended that you construct the Plot with plot_header = True
        in order to make space for the label.

        Args:
            luminosity: The integrated luminosity, in pb^-1
            sqrt_s: The center of mass energy, in MeV
            label: The label to put after 'ATLAS', None to exclude the 'ATLAS'
                categorization entirely
        """
        # Change context to the plot pad
        self._plot.cd()

        # Create the latex object
        # TODO: Consider using TPaveText to overwrite drawn graphs and
        # histograms. At least for scatter plots.
        # TODO: Increase readability: Create two sets of constants -
        # one for plots with ratio and one for plots without. Select the
        # correct one in draw_ratio_histogram.
        stamp = TLatex()

        # Style it
        stamp.SetTextColor(self.PLOT_ATLAS_STAMP_TEXT_COLOR)
        stamp.SetTextSize(
            (self.PLOT_ATLAS_STAMP_TEXT_SIZE_WITH_RATIO
             if self._ratio_plot else self.PLOT_ATLAS_STAMP_TEXT_SIZE))
        stamp.SetTextFont(self.PLOT_ATLAS_STAMP_TEXT_FONT)
        stamp.SetNDC()

        top = (self.PLOT_ATLAS_STAMP_TOP_WITH_RATIO
               if self._ratio_plot else self.PLOT_ATLAS_STAMP_TOP)

        # Print an ATLAS label on top
        if atlas_label is not None:
            # Draw the label
            stamp.SetTextFont(self.PLOT_ATLAS_STAMP_ATLAS_TEXT_FONT)
            stamp.DrawLatex(self.PLOT_ATLAS_STAMP_LEFT, top, 'ATLAS')
            stamp.SetTextFont(self.PLOT_ATLAS_STAMP_TEXT_FONT)
            stamp.DrawLatex(self.PLOT_ATLAS_STAMP_ATLAS_LABEL_LEFT, top,
                            atlas_label)
            top -= (self.PLOT_ATLAS_STAMP_TEXT_SIZE_WITH_RATIO if self.
                    _ratio_plot else self.PLOT_ATLAS_STAMP_TEXT_SIZE) * 1.3

        # Draw the luminosity and sqrt(s)
        if luminosity is not None or sqrt_s is not None:
            text = ''
            if sqrt_s is not None:
                text += '#sqrt{{s}} = {0:.0f} TeV'.format(sqrt_s / 1.0e6)
                if luminosity is not None:
                    text += ', '
            if luminosity is not None:
                if luminosity >= 1000.0:
                    text += '{0:.1f} fb^{{-1}}'.format(luminosity / 1000.0)
                elif luminosity > 100.0:
                    text += '{0:.2f} fb^{{-1}}'.format(luminosity / 1000.0)
                else:
                    text += '{0:.1f} pb^{{-1}}'.format(luminosity)

            stamp.DrawLatex(self.PLOT_ATLAS_STAMP_LEFT, top, text)
            top -= (self.PLOT_ATLAS_STAMP_TEXT_SIZE_WITH_RATIO if self.
                    _ratio_plot else self.PLOT_ATLAS_STAMP_TEXT_SIZE) * 1.3

        # If requested, draw the custom label or the 'ATLAS' label,
        # preferring the former
        if custom_label is not None:
            # Draw each line of text, decreasing top for each step
            for text in [t for t in custom_label if t is not None]:
                stamp.DrawLatex(self.PLOT_ATLAS_STAMP_LEFT, top, text)
                top -= (self.PLOT_ATLAS_STAMP_TEXT_SIZE_WITH_RATIO if self.
                        _ratio_plot else self.PLOT_ATLAS_STAMP_TEXT_SIZE) * 1.3

    def draw_pave(self, texts, position):
        """Draw a text box at the position and fill it with text.

        Args:
            texts: String or N-tuple of strings.
            positon: Absolute position of the form (x1, x2, y1, y2) as an
                     N-tuple of floats, or a string with one of the values
                     "{top,bottom}{left,right}"
        """
        if isinstance(position, basestring):
            if position == 'topleft':
                position = (0.15, 0.35, 0.85, 0.75)
            elif position == 'topright':
                position = (0.95, 0.75, 0.95, 0.85)
            elif position == 'bottomleft':
                position = (0.05, 0.25, 0.05, 0.15)
            elif position == 'topright':
                position = (0.95, 0.75, 0.05, 0.15)

        # Switch to the context of the main plot
        self._plot.cd()

        # Create the pave
        self._pave = TPaveText(position[0], position[2], position[1],
                               position[3], 'NDC')
        SetOwnership(self._pave, False)

        # Add the text
        if isinstance(texts, basestring):
            self._pave.AddText(texts)
        else:
            for t in texts:
                self._pave.AddText(t)

        # Draw the pave
        self._pave.Draw()

    def draw_legend(self, use_functions=False, legend_entries=None):
        """Draws a legend onto the plot with the specified histograms.

        It is recommended that you construct the Plot with plot_header = True
        in order to make space for the legend.

        Args:
            drawables: The elements to include in the legend (via AddEntry)
            use_functions: Add associated functions to the legend
        """
        # Check if we already have a legend
        if hasattr(self, '_legend'):
            raise RuntimeError('legend already exists on this plot')

        # Check if the plot has been drawn
        if not self._drawn:
            raise RuntimeError('plot must be drawn before the legend')

        # Remove None-valued drawables
        drawables = tuple((d for d in self._drawables if d is not None))

        # Remove TLine objects
        drawables = tuple((d for d in drawables if not is_line(d)))

        # If we shouldn't add functions to the legend, remove them
        if not use_functions:
            drawables = tuple((d for d in drawables if not isinstance(d, TF1)))

        # Use only certain entries
        if legend_entries is not None:

            def get_drawable_by_title(title):
                for d in drawables:
                    if d.GetTitle() == title:
                        return d
                return None

            drawables = tuple((get_drawable_by_title(e.GetTitle())
                               for e in legend_entries if e is not None))
            drawables = tuple((d for d in drawables if d is not None))

        # Switch to the context of the main plot
        self._plot.cd()

        # Create the legend
        self._legend = TLegend(self.PLOT_LEGEND_LEFT,
                               (self.PLOT_LEGEND_BOTTOM_WITH_RATIO if
                                self._ratio_plot else self.PLOT_LEGEND_BOTTOM),
                               self.PLOT_LEGEND_RIGHT,
                               (self.PLOT_LEGEND_TOP_WITH_RATIO
                                if self._ratio_plot else self.PLOT_LEGEND_TOP))
        SetOwnership(self._legend, False)

        # Style it
        self._legend.SetTextSize(
            (self.PLOT_LEGEND_TEXT_SIZE_WITH_RATIO
             if self._ratio_plot else self.PLOT_LEGEND_TEXT_SIZE))
        self._legend.SetBorderSize(0)
        self._legend.SetFillStyle(0)  # transparent
        self._legend.SetNColumns(self.PLOT_LEGEND_N_COLUMNS)

        # Create a chained list of all drawables.  We decompose THStack
        # objects in reverse order, i.e. top-to-bottom.
        drawables = \
            list(chain(*(drawable_iterable(h, True, True)
                         for h
                         in drawables)))

        # Add anything to this list that we created internally
        drawables.extend(self._legend_extras)

        # Because ROOT draws legend entries from left-to-right across rows and
        # not top-to-bottom along columns, we need to do a bit of a pivot on
        # the list so that the histograms appear in the vertical order of the
        # stack
        if self.PLOT_LEGEND_PIVOT_COLUMNS:
            n_entries = len(drawables)
            n_col = self.PLOT_LEGEND_N_COLUMNS
            n_row = int(ceil(float(n_entries) / n_col))
            self._legend.SetY1(self._legend.GetY2() - n_row *
                               (self.PLOT_LEGEND_ROW_SIZE_WITH_RATIO if self.
                                _ratio_plot else self.PLOT_LEGEND_ROW_SIZE))
            legend_order = []
            for r in xrange(0, n_row):
                for c in xrange(0, n_col):
                    if (r * n_col + c) == n_entries:
                        # Don't need an outer break, this would only happen on the
                        # last row if n_row * n_col != n_entries
                        break
                    legend_order.append(drawables[r + c * n_row])
        else:
            legend_order = drawables

        # Add the drawables
        for drawable in legend_order:
            SetOwnership(drawable, False)
            title = drawable.GetTitle()
            # HACK: Convention: legend for drawables with a non-default
            # marker style (data) to be drawn as line with point, and with
            # empty fill (signal) to be drawn as line
            if drawable.GetMarkerStyle() != 0:
                self._legend.AddEntry(drawable, title, 'ep')
            elif drawable.GetFillColor() == 0:
                self._legend.AddEntry(drawable, title, 'l')
            else:
                self._legend.AddEntry(drawable, title, 'f')

        # Draw the legend
        self._legend.Draw()