c.SetBottomMargin(B / H)
c.SetTickx(0)
c.SetTicky(0)
c.Draw()
c.cd()
pad1 = TPad("zxc_p1", "zxc_p1", 0, padRatio - padOverlap, 1, 1)
pad2 = TPad("qwe_p2", "qwe_p2", 0, 0, 1, padRatio + padOverlap)
pad1.SetLeftMargin(L / W)
pad1.SetRightMargin(R / W)
pad1.SetTopMargin(T / H / (1 - padRatio + padOverlap))
pad1.SetBottomMargin(
(padOverlap + padGap) / (1 - padRatio + padOverlap))
pad1.SetFillColor(0)
pad1.SetBorderMode(0)
pad1.SetFrameFillStyle(0)
pad1.SetFrameBorderMode(0)
pad1.SetTickx(0)
pad1.SetTicky(0)
pad2.SetLeftMargin(L / W)
pad2.SetRightMargin(R / W)
pad2.SetTopMargin((padOverlap) / (padRatio + padOverlap))
pad2.SetBottomMargin(B / H / (padRatio + padOverlap))
pad2.SetFillColor(0)
pad2.SetFillStyle(4000)
pad2.SetBorderMode(0)
pad2.SetFrameFillStyle(0)
pad2.SetFrameBorderMode(0)
pad2.SetTickx(0)
pad2.SetTicky(0)
rm = c.GetRightMargin()
to = c.GetTopMargin()
x1 = p.GetXaxis().GetXmin()
yf = p.GetYaxis().GetXmin()
x2 = p.GetXaxis().GetXmax()
y2 = p.GetYaxis().GetXmax()
Xa = (x2-x1)/(1-lm-rm)-(x2-x1)
Ya = (y2-yf)/(1-bm-to)-(y2-yf)
LM = Xa*(lm/(lm+rm))
RM = Xa*(rm/(lm+rm))
BM = Ya*(bm/(bm+to))
TM = Ya*(to/(bm+to))
null2 = TPad("null2","",0,0,1,1)
null2.SetFillStyle(0)
null2.SetFrameFillStyle(0)
null2.Draw()
null2.cd()
null2.Range(x1-LM,yf-BM,x2+RM,y2+TM)
null2.SetRightMargin(0.20)
null2.SetLeftMargin(margine)
null2.SetTopMargin(0.10)
null2.SetBottomMargin(margine)
#exclusion.SetMinimum(the_minimum)
#exclusion.SetMaximum(the_maximum)
exclusion.GetXaxis().SetRangeUser(-0.05,1.05)
exclusion.GetYaxis().SetRangeUser(-0.05,1.05)
exclusion.GetXaxis().SetLabelOffset(100)
exclusion.GetYaxis().SetLabelOffset(100)
#exclusion.Draw('CONT3')
#exclusion2.Draw()
def write_rootdategraph_plusatten(vectorx, vectory, vectory2, graphtitle,
xtitle, ytitle, rootdirectory):
'''plot graph current + source'''
arrayx = array('d')
arrayy = array('d')
arrayy2 = array('d')
for x in vectorx:
arrayx.append(x.Convert())
for y in vectory:
arrayy.append(y)
for y2 in vectory2:
arrayy2.append(y2)
if ytitle[0] == "i":
ytitle = ytitle + " (uA) "
color = 2
offset = 1.
minimum = -1
maximum = int(np.max(vectory) + 1.5)
if maximum > 10:
maximum = int(10)
if ytitle == "v":
ytitle = ytitle + " (V)"
color = 4
offset = 0.9
minimum = 400
maximum = 600
c = TCanvas(graphtitle + "_canvas")
pad1 = TPad("pad1", "", 0, 0, 1, 1)
pad2 = TPad("pad2", "", 0, 0, 1, 1)
pad2.SetFillStyle(4000)
pad2.SetFrameFillStyle(0)
#How many graph points
n = len(vectorx)
MyTGraph = TGraph(n, arrayx, arrayy)
MyTGraph.SetName(graphtitle)
MyTGraph2 = TGraph(n, arrayx, arrayy2)
#Draw + DrawOptions
Style = gStyle
Style.SetPadLeftMargin(2.0)
XAxis = MyTGraph.GetXaxis() #TGraphfasthescin
XAxis.SetTimeDisplay(1)
XAxis.SetTimeFormat("#splitline{%d/%m}{%H:%M}")
XAxis.SetLabelOffset(0.025)
MyTGraph.SetMarkerColor(color)
MyTGraph.SetMarkerStyle(1)
MyTGraph.SetMarkerSize(1)
MyTGraph.SetLineColor(color)
MyTGraph.SetTitle(graphtitle + " V")
#XAxis.SetTitle(xtitle)
YAxis = MyTGraph.GetYaxis()
YAxis.SetTitleOffset(offset)
YAxis.SetTitleOffset(offset)
YAxis.SetTitleColor(2)
YAxis.SetTitle(ytitle)
MyTGraph.GetHistogram().SetMinimum(-1.)
MyTGraph.GetHistogram().SetMaximum(
23.) #modified to have also attenuation 22 displayed
#MyTGraph.Draw("APL")
MyTGraph2.SetMarkerColor(4)
MyTGraph2.SetMarkerStyle(1)
MyTGraph2.SetMarkerSize(1)
MyTGraph2.SetLineColor(4)
MyTGraph2.SetLineStyle(7)
MyTGraph2.GetHistogram().SetMinimum(-1.)
MyTGraph2.GetHistogram().SetMaximum(23.)
MyTGraph2.GetXaxis().SetLabelSize(0)
MyTGraph2.GetXaxis().SetNdivisions(0)
MyTGraph2.GetYaxis().SetTitle("Attenuation factor")
MyTGraph2.GetYaxis().SetTitleOffset(offset)
MyTGraph2.GetYaxis().SetTitleColor(4)
MyTGraph2.SetTitle("")
pad1.Draw()
pad1.cd()
MyTGraph.Draw("APL")
pad2.Draw()
pad2.cd()
#MyTGraph2.SetMarkerColor(4)
MyTGraph2.Draw("APLY+")
#MyTGraph2.Draw("same")
rootdirectory.WriteTObject(c)
#MyTGraph.Write(graphtitle)
#MyTGraph.Draw("APL")
if "D" not in graphtitle:
c.SaveAs("GIF-" + graphtitle[0:9] + ".pdf")
gPad.Close()
def makeTwoScalesGraph(file):
print(file)
ch1 = OPData.fromPath('../data/part3/%s' % file, 1)
ch2 = OPData.fromPath('../data/part3/%s' % file, 2)
print('make canvas + pad')
c = TCanvas('c-%s' % file, '', 1280, 720)
pad = TPad('pad-%s' % file, '', 0, 0, 1, 1)
pad.Draw()
pad.cd()
print('frame')
frame = pad.DrawFrame(0,
min(ch1.getY()) * 1.1, 0.051,
max(ch1.getY()) * 1.1)
frame.SetXTitle('Zeit t / s')
frame.GetXaxis().CenterTitle()
frame.SetYTitle('Spannung Spule 2: U_{2} / V')
frame.GetYaxis().CenterTitle()
frame.GetYaxis().SetLabelColor(4)
frame.GetYaxis().SetTitleColor(4)
print('g1')
g1 = ch1.makeGraph('g1-%s' % file)
prepareGraph(g1)
g1.Draw('PX')
print('overlay')
c.cd()
overlay = TPad('overlay-%s' % file, '', 0, 0, 1, 1)
overlay.SetFillStyle(4000) # transparent
overlay.SetFillColor(0) # white
overlay.SetFrameFillStyle(4000) # transparent
overlay.Draw()
overlay.cd()
print('g2')
g2 = ch2.makeGraph('g2-%s' % file)
prepareGraph(g2, 2)
g2ymin = min(ch2.getY())
xmin = pad.GetUxmin()
xmax = pad.GetUxmax()
ymin = 1.1 * g2ymin
ymax = abs(ymin)
if file == '07.tab': # same scale like 06.tab
ymin, ymax = -0.07128, 0.07128
oframe = overlay.DrawFrame(xmin, ymin, xmax, ymax)
oframe.GetXaxis().SetLabelOffset(99)
oframe.GetYaxis().SetLabelOffset(99)
oframe.GetYaxis().SetTickLength(0)
g2.Draw('PX')
print('axis')
axis = TGaxis(xmax, ymin, xmax, ymax, ymin, ymax, 510, "+L")
axis.SetTitle('Spannung Photodiode: U_{ph} / V')
axis.CenterTitle()
axis.SetTitleOffset(1.2)
axis.Draw()
print('print')
c.Update()
c.Print('../img/part3/%s.pdf' % file[:-4], 'pdf')
def DrawOverlap(fileVec,
histVec,
titleVec,
legendtext,
pngname,
logstatus=[0, 0],
xRange=[-99999, 99999, 1]):
gStyle.SetOptTitle(0)
gStyle.SetOptStat(0)
gStyle.SetTitleOffset(1.1, "Y")
gStyle.SetTitleOffset(0.9, "X")
gStyle.SetLineWidth(3)
gStyle.SetFrameLineWidth(3)
i = 0
histList_ = []
histList = []
histList1 = []
maximum = []
## Legend
leg = TLegend(0.65, 0.650, 0.89, 0.85) #,NULL,"brNDC");
leg.SetBorderSize(0)
# leg.SetNColumns(3)
leg.SetLineColor(1)
leg.SetLineStyle(1)
leg.SetLineWidth(1)
leg.SetFillColor(0)
leg.SetFillStyle(0)
leg.SetTextFont(22)
leg.SetTextSize(0.045)
c = TCanvas("c1", "c1", 0, 0, 500, 500)
#c.SetBottomMargin(0.15)
#c.SetLeftMargin(0.15)
#c.SetLogy(0)
#c.SetLogx(0)
c1_2 = TPad("c1_2", "newpad", 0., 0.30, 1, 0.994)
c1_2.Draw()
c1_1 = TPad("c1_1", "newpad1", 0, 0.02, 1, 0.30)
c1_1.Draw()
print("you have provided " + str(len(fileVec)) + " files and " +
str(len(histVec)) + " histograms to make a overlapping plot")
print "opening rootfiles"
c.cd()
c1_2.SetBottomMargin(0.013)
c1_2.SetLogy(logstatus[1])
c1_2.SetLogx(logstatus[0])
c1_2.cd()
ii = 0
inputfile = {}
print str(fileVec[(len(fileVec) - 1)])
for ifile_ in range(len(fileVec)):
print("opening file " + fileVec[ifile_])
inputfile[ifile_] = TFile(fileVec[ifile_])
print "fetching histograms"
for ihisto_ in range(len(histVec)):
print("printing histo " + str(histVec[ihisto_]))
histo = inputfile[ifile_].Get(histVec[ihisto_])
#status_ = type(histo) is TGraphAsymmErrors
histList.append(histo)
# for ratio plot as they should nt be normalize
histList1.append(histo)
print histList[ii].Integral()
histList[ii].Rebin(xRange[2])
print('after', histList[ii].Integral(0, -1))
histList[ii].Scale(1.0 / histList[ii].Integral(0, -1))
maximum.append(histList[ii].GetMaximum())
maximum.sort()
ii = ii + 1
print histList
for ih in range(len(histList)):
tt = type(histList[ih])
if logstatus[1] is 1:
histList[ih].SetMaximum(maximum[(len(maximum) - 1)] *
25) #1.4 for log
histList[ih].SetMinimum(0.001) #1.4 for log
if logstatus[1] is 0:
histList[ih].SetMaximum(maximum[(len(maximum) - 1)] *
1.2) #1.4 for log
histList[ih].SetMinimum(0) #1.4 for log
# print "graph_status =" ,(tt is TGraphAsymmErrors)
# print "hist status =", (tt is TH1D) or (tt is TH1F)
if ih == 0:
if tt is TGraphAsymmErrors:
histList[ih].Draw("AP")
if (tt is TH1D) or (tt is TH1F) or (tt is TH1) or (tt is TH1I):
histList[ih].Draw("hist")
if ih > 0:
#histList[ih].SetLineWidth(2)
if tt is TGraphAsymmErrors:
histList[ih].Draw("P same")
if (tt is TH1D) or (tt is TH1F) or (tt is TH1) or (tt is TH1I):
histList[ih].Draw("hist same")
if tt is TGraphAsymmErrors:
histList[ih].SetMaximum(1.4)
histList[ih].SetMarkerColor(colors[ih])
histList[ih].SetLineColor(colors[ih])
histList[ih].SetMarkerStyle(markerStyle[ih])
histList[ih].SetMarkerSize(1)
leg.AddEntry(histList[ih], legendtext[ih], "PL")
if (tt is TH1D) or (tt is TH1F) or (tt is TH1) or (tt is TH1I):
histList[ih].SetLineStyle(linestyle[ih])
histList[ih].SetLineColor(colors[ih])
histList[ih].SetLineWidth(3)
leg.AddEntry(histList[ih], legendtext[ih], "L")
histList[ih].GetYaxis().SetTitle(titleVec[1])
histList[ih].GetYaxis().SetTitleSize(0.062)
histList[ih].GetYaxis().SetTitleOffset(0.78)
histList[ih].GetYaxis().SetTitleFont(22)
histList[ih].GetYaxis().SetLabelFont(22)
histList[ih].GetYaxis().SetLabelSize(.062)
histList[ih].GetXaxis().SetRangeUser(xRange[0], xRange[1])
histList[ih].GetXaxis().SetLabelSize(0.0000)
histList[ih].GetXaxis().SetTitle(titleVec[0])
histList[ih].GetXaxis().SetLabelSize(0.052)
histList[ih].GetXaxis().SetTitleSize(0.052)
histList[ih].GetXaxis().SetTitleOffset(1.04)
histList[ih].GetXaxis().SetTitleFont(22)
histList[ih].GetXaxis().SetTickLength(0.07)
histList[ih].GetXaxis().SetLabelFont(22)
histList[ih].GetYaxis().SetLabelFont(22)
# histList[ih].GetXaxis().SetNdivisions(508)
#
i = i + 1
pt = TPaveText(0.0877181, 0.91, 0.9580537, 0.95, "brNDC")
pt.SetBorderSize(0)
pt.SetTextAlign(12)
pt.SetFillStyle(0)
pt.SetTextFont(22)
pt.SetTextSize(0.046)
# text = pt.AddText(0.05,0.5,"ATLAS Internal ")
text = pt.AddText(0.65, 1.0, "#sqrt{s} = 13 TeV (36fb^{-1})")
pt.Draw()
t2a = TPaveText(0.277181, 0.81, 0.6780537, 0.89, "brNDC")
t2a.SetBorderSize(0)
t2a.SetFillStyle(0)
t2a.SetTextSize(0.046)
t2a.SetTextAlign(12)
t2a.SetTextFont(22)
histolabel1 = str(fileVec[(len(fileVec) - 1)])
text1 = t2a.AddText(0.065, 0.5, "ATLAS Internal")
t2a.Draw()
leg.Draw()
#
c.cd()
h_inc = histList1[0].Clone()
h_vbs = histList1[1].Clone()
h_qcd = histList1[2].Clone()
h_int = histList1[3].Clone()
h_inc.Add(h_vbs, -1)
h_inc.Add(h_qcd, -1)
## ratio plot
hdivide_1 = h_int.Clone()
hdivide_1.Divide(h_vbs)
# hdivide_1.GetYaxis().SetTitle(str(legendtext[(len(legendtext)-1)]))
hdivide_1.GetYaxis().SetTitleSize(0.11)
hdivide_1.GetYaxis().SetTitle("ratio")
hdivide_1.GetYaxis().SetTitleOffset(0.43)
hdivide_1.GetYaxis().SetTitleFont(22)
hdivide_1.GetYaxis().SetLabelSize(0.13)
hdivide_1.GetYaxis().CenterTitle()
hdivide_1.GetXaxis().SetTitleSize(0.14)
hdivide_1.GetXaxis().SetTitleOffset(0.89)
hdivide_1.GetXaxis().SetTitleFont(22)
hdivide_1.GetXaxis().SetLabelSize(0.14)
hdivide_1.GetYaxis().SetLabelFont(22)
c.cd()
c1_1.cd()
# c1_1.Range(-7.862408,-629.6193,53.07125,486.5489)
c1_1.SetFillColor(0)
c1_1.SetTicky(1)
c1_1.SetTopMargin(0.0510)
c1_1.SetBottomMargin(0.3006666678814)
c1_1.SetFrameFillStyle(0)
c1_1.SetFrameBorderMode(0)
c1_1.SetFrameFillStyle(0)
c1_1.SetFrameBorderMode(0)
c1_1.SetLogy(0)
hdivide_1.GetXaxis().SetRangeUser(xRange[0], xRange[1])
hdivide_1.GetYaxis().SetNdivisions(505)
c1_1.Draw()
c1_1.SetGridy()
hdivide_1.SetMarkerStyle(20)
hdivide_1.SetMarkerColor(2)
hdivide_1.SetMarkerSize(1)
hdivide_1.Draw("P")
hdivide_2 = h_int.Clone()
hdivide_2.Divide(h_qcd)
hdivide_2.SetMarkerStyle(21)
hdivide_2.SetMarkerColor(4)
hdivide_2.SetMarkerSize(1)
hdivide_2.Draw("Psame")
hdivide_3 = h_int.Clone()
hdivide_3.Divide(h_inc)
hdivide_3.SetMarkerStyle(22)
hdivide_3.SetMarkerColor(1)
hdivide_3.SetMarkerSize(1)
hdivide_3.Draw("Psame")
hdivide_1.SetMinimum(-1.01)
hdivide_1.SetMaximum(3.20)
c.cd()
outputdirname = 'plots/'
histname = outputdirname + pngname
c.SaveAs(histname + '.png')
c.SaveAs(histname + '.pdf')
c.SaveAs(histname + '.root')
c.SaveAs(histname + '.C')
def drawHisto(histlist,histoD,xTitle,yTitle,outName,uncHists=""):
legend = TLegend(0.35, 0.72, 0.85, 0.92,"") #,"brNDC"
legend.SetFillStyle(0)
legend.SetTextSize(0.045)
legend.SetNColumns(2)
myStack = THStack("myStack","")
for hist in histlist:
myStack.Add(hist,"hist")
histoErr = histlist[0].Clone()
for iHist in range(1,len(histlist)):
histoErr.Add(histlist[iHist])
MCCount = myStack.GetStack().Last().Integral()
DataCount = histoD.Integral()
MCNormFactor = DataCount/MCCount
# myStack.Delete()
myStack = THStack("myStack","")
for hist in histlist:
hist.Scale(MCNormFactor)
myStack.Add(hist,"hist")
histoErr.Scale(MCNormFactor)
if uncHists!="":
MCMean = myStack.GetStack().Last().Clone()
MCErr = MCMean.Clone()
MCErr.Reset()
for ibin in range(1,MCMean.GetNbinsX()+1):
thisbinunc = 0
for ihist in uncHists:
thisbinunc += ihist.GetBinContent(ibin)**2 #sum assuming correlated
sfunc = thisbinunc**0.5*MCNormFactor
if args.nostat:
MCMean.SetBinError(ibin, sfunc)
MCErr.SetBinContent(ibin, sfunc)
else:
MCMean.SetBinError(ibin, math.sqrt(sfunc**2 + histoErr.GetBinError(ibin)**2))
MCErr.SetBinContent(ibin, math.sqrt(sfunc**2 + histoErr.GetBinError(ibin)**2))
c = TCanvas("main","main",1200,1200)
c.SetCanvasSize(1200,1200)
upperCanvas = TPad("up","up",0,0.24,1,1)
upperCanvas.SetBottomMargin(0.03)
upperCanvas.SetLeftMargin(0.12)
upperCanvas.SetTopMargin(0.06)
# upperCanvas.SetLogy(isLog)
upperCanvas.Draw()
upperCanvas.cd()
myStack.Draw()
myStack.GetYaxis().SetTitle(yTitle)
myStack.GetHistogram().GetZaxis().SetTitle()
myStack.GetYaxis().SetLabelSize(0.048)
myStack.GetYaxis().SetTitleSize(0.07)
myStack.GetYaxis().SetTitleOffset(0.78)
myStack.GetYaxis().SetTitleFont(42)
legend.Draw("same")
if uncHists!="":
MCMean.Draw("e2 same")
MCMean.SetFillColor(kGreen)
MCMean.SetLineColor(kGreen)
MCMean.SetMarkerSize(0)
MCMean.SetFillStyle(3013)
if not args.nostat:
histoErr.Draw("e2 same")
# histoErr.Sumw2()
histoErr.SetFillColor(kGray+3)
histoErr.SetLineColor(kGray+3)
histoErr.SetMarkerSize(0)
histoErr.SetFillStyle(3013)
histoMC = myStack.GetStack().Last()
histoBkg= myStack.GetStack().Before(histoMC)
print "Total MC:", histoMC.Integral(), ", Data:",histoD.Integral()
histoD.Draw("same p e")
legend.AddEntry(histoD,"Data","PE")
for hist in histlist:
legend.AddEntry(hist,hist.GetName().replace('uds','udsg').replace('b','bottom').replace('c','charm'),'f')
legend.AddEntry(histoErr,"MC Stat. Unc.",'f')
if uncHists!="": legend.AddEntry(MCMean,"SF Unc.",'f')
maxY = histoD.GetMaximum()
#if myStack.GetMinimum() >= 0:
myStack.SetMinimum(1e-3)
myStack.SetMaximum(maxY*1.35)
c.cd()
lowerCanvas = TPad("down","down",0,0,1,0.26)
lowerCanvas.Draw()
lowerCanvas.cd()
lowerCanvas.SetTicky(1)
lowerCanvas.SetLeftMargin(0.1)
lowerCanvas.SetRightMargin(0.1)
lowerCanvas.SetTopMargin(0.0)
lowerCanvas.SetBottomMargin(0.4)
lowerCanvas.SetLeftMargin(0.12)
lowerCanvas.SetFrameFillStyle(0)
lowerCanvas.SetFrameBorderMode(0)
lowerCanvas.SetGridy()
histoRatio = histoD.Clone()
histoRatio.Divide(histoMC)
for ib in range(1,histoRatio.GetNbinsX()+1):
if histoD.GetBinContent(ib) != 0:
histoRatio.SetBinError(ib, histoD.GetBinError(ib)/histoD.GetBinContent(ib)*histoRatio.GetBinContent(ib))
else:
histoRatio.SetBinError(ib,0.)
histoRatio.GetYaxis().SetTitle("Data/MC")
histoRatio.GetYaxis().SetTitleSize(0.15)
histoRatio.GetYaxis().SetTitleOffset(0.38)
histoRatio.GetYaxis().SetTitleFont(42)
histoRatio.GetYaxis().SetLabelSize(0.14)
histoRatio.GetYaxis().CenterTitle()
histoRatio.GetYaxis().SetLabelFont(42)
histoRatio.GetYaxis().SetNdivisions(5)
histoRatio.GetXaxis().SetTitle(xTitle)
histoRatio.GetXaxis().SetLabelSize(0.14)
histoRatio.GetXaxis().SetTitleSize(0.19)
histoRatio.GetXaxis().SetTitleOffset(0.88)
histoRatio.GetXaxis().SetTitleFont(42)
histoRatio.GetXaxis().SetTickLength(0.07)
histoRatio.GetXaxis().SetLabelFont(42)
histoRatio.SetTitle("")
histoRatio.Draw("P e")
histoRatio.SetMaximum(1.49)
histoRatio.SetMinimum(0.51)
if uncHists!="":
RatioErr = MCErr.Clone()
RatioErr.Divide(histoMC)
RatioErrVals = RatioErr.Clone()
for ibin in range(1,RatioErr.GetNbinsX()+1):
RatioErrVals.SetBinContent(ibin,1.)
RatioErrVals.SetBinError(ibin,RatioErr.GetBinContent(ibin))
RatioErrVals.Draw("e2 same")
RatioErrVals.SetFillColor(kGreen)
RatioErrVals.SetLineColor(kGreen)
RatioErrVals.SetMarkerSize(0)
RatioErrVals.SetFillStyle(3013)
if not args.nostat:
RatioStatUnc = histoMC.Clone()
for ibin in range(1,RatioStatUnc.GetNbinsX()+1):
RatioStatUnc.SetBinContent(ibin,1)
if histoMC.GetBinContent(ibin) != 0:
RatioStatUnc.SetBinError(ibin,histoMC.GetBinError(ibin)/histoMC.GetBinContent(ibin))
else:
RatioStatUnc.SetBinError(ibin,0)
RatioStatUnc.Draw("e2 same")
RatioStatUnc.SetFillColor(kGray+3)
RatioStatUnc.SetLineColor(kGray+3)
RatioStatUnc.SetMarkerSize(0)
RatioStatUnc.SetFillStyle(3013)
histoRatio.Draw("P e same") # To bring on top
hLine = TLine(-0.2,1,1,1)
hLine.SetLineColor(kRed)
hLine.Draw()
# if drawDataMCRatioLine:
# MCCount = histoMC.Integral()
# if MCCount > 0.:
# DataCount = histoD.Integral()
# MCNormFactor = DataCount/MCCount
# hLine2 = TLine(start,MCNormFactor,end,MCNormFactor)
# hLine2.SetLineColor(kBlue)
# hLine2.Draw()
# ----------------------------------------------------------
# ======================== LaTeX ==========================
texTL = TLatex()
texTL.SetTextSize(0.07)
texTL.SetTextAlign(13)
texTR = TLatex()
texTR.SetTextSize(0.05)
texTR.SetTextAlign(31)
# if dataset=="" or noRatio:
# texTL.DrawLatexNDC(0.13,0.87, "CMS #it{#bf{Preliminary}}")
# texTR.DrawLatexNDC(0.89,0.91, "#bf{"+str(lumi/1000.)+" fb^{-1} (13 TeV)}")
# else:
upperCanvas.cd()
texTL.DrawLatexNDC(0.16,0.92, "CMS") # #it{#bf{Preliminary}}")
if args.prelim:
texTL2 = TLatex()
texTL2.SetTextSize(0.05)
texTL2.SetTextAlign(13)
suff = "#it{#bf{Preliminary}}"
texTL2.DrawLatexNDC(0.16,0.85, suff)
texTR.DrawLatexNDC(0.89,0.95, "#bf{"+str(lumi/1000.)+" fb^{-1} (13 TeV)}")
# ----------------------------------------------------------
c.SaveAs(outName+".pdf")
c.SaveAs(outName+".png")
