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plotHistosScouting.py
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import ROOT
import os,sys,json
import argparse
from datetime import date
import numpy as np
import copy
import math
sys.path.append('utils')
import plotUtils
ROOT.gROOT.SetBatch(1)
user = os.environ.get("USER")
today= date.today().strftime("%b-%d-%Y")
parser = argparse.ArgumentParser(formatter_class=argparse.RawTextHelpFormatter)
parser.add_argument("--inDir", default=os.environ.get("PWD")+"/outputHistograms_"+today, help="Choose output directory. Default: '"+os.environ.get("PWD")+"/outputHistograms_"+today+"'")
parser.add_argument("--inSamples", default=[], nargs="+", help="Choose sample(s); for all data samples in input directory, choose 'Data'")
parser.add_argument("--inMultiDir", default=[], nargs="+", help="Choose directories for one sample")
parser.add_argument("--inMultiLeg", default=[], nargs="+", help="Choose legends for different flavors of one sample, if --inMultiDir is used")
parser.add_argument("--inMultiWeights", default=[], nargs="+", help="Choose weights for different flavors of one sample, if --inMultiDir is used")
parser.add_argument("--outDir", default=os.environ.get("PWD")+"/plots_"+today, help="Choose output directory. Default: '"+os.environ.get("PWD")+"/plots_"+today+"'")
parser.add_argument("--outSuffix", default="", help="Choose output directory. Default: ''")
parser.add_argument("--data", default=False, action="store_true", help="Plot data")
parser.add_argument("--signal", default=False, action="store_true", help="Plot signal")
parser.add_argument("--generator", default=False, action="store_true", help="Plot GEN-level histograms")
parser.add_argument("--year", default="2022", help="Year to be processes. Default: 2022")
parser.add_argument("--lumi", default=0.0, help="Luminosity in case we want to set one manually")
parser.add_argument("--inYears", default=[], nargs="+", help="Choose years if data/simulation from different years is used (using year if not set)")
parser.add_argument("--partialUnblinding", default=False, action="store_true", help="Have processed x% (default: x=50) of available data")
parser.add_argument("--partialUnblindingFraction", default="0.5", help="Fraction of available data that have been processed")
parser.add_argument("--dimuonMassSel", default=[], nargs="+", help="Selection on dimuon mass: first (or only) value is lower cut, second (optional) value is upper cut")
parser.add_argument("--dimuonPtSel", default=[], nargs="+", help="Selection on dimuon pT: first (or only) value is lower cut, second (optional) value is upper cut")
parser.add_argument("--fourmuonMassSel", default=[], nargs="+", help="Selection on four-muon mass: first (or only) value is lower cut, second (optional) value is upper cut")
parser.add_argument("--fourmuonPtSel", default=[], nargs="+", help="Selection on four-muon pT: first (or only) value is lower cut, second (optional) value is upper cut")
parser.add_argument("--dimuonMassSelForFourMuon", default=[], nargs="+", help="Selection on dimuon mass in four-muon system: first (or only) value is lower cut, second (optional) value is upper cut")
parser.add_argument("--dimuonMassDiffSelForFourMuon", default=["0.05"], nargs="+", help="Selection on dimuon mass difference / mean in four-muon system: first (or only) value is *upper* cut, second (optional) value is *lower* cut")
parser.add_argument("--dimuonPtSelForFourMuon", default=[], nargs="+", help="Selection on dimuon pT in four-muon system: first (or only) value is lower cut, second (optional) value is upper cut")
parser.add_argument("--dimuonMassSelForFourMuonOSV", default=[], nargs="+", help="Selection on dimuon mass in four-muon system from overlapping SV: first (or only) value is lower cut, second (optional) value is upper cut")
parser.add_argument("--dimuonMassDiffSelForFourMuonOSV", default=["0.05"], nargs="+", help="Selection on dimuon mass difference / mean in four-muon system from overlapping SV: first (or only) value is *upper* cut, second (optional) value is *lower* cut")
parser.add_argument("--dimuonPtSelForFourMuonOSV", default=[], nargs="+", help="Selection on dimuon pT in four-muon system from overlapping SV: first (or only) value is lower cut, second (optional) value is upper cut")
parser.add_argument("--lxySel", default=[], nargs="+", help="Selection on lxy: first (or only) value is lower cut, second (optional) value is upper cut")
parser.add_argument("--relaxedSVSel", default=False, action="store_true", help="Extend range for 1D histograms of SV selection variables")
parser.add_argument("--doRatio", default=False, action="store_true", help="Plot ratios for 1D histograms")
parser.add_argument("--shape", default=False, action="store_true", help="Shape normalization")
parser.add_argument("--scaleSignal", default=1.0, help="Signal normalization")
parser.add_argument("--rebinWindow", default=0, help="Rebin mass window, set to 1 for automattic rebinning")
parser.add_argument("--logY", default=False, action="store_true", help="Log-scale for Y axis")
parser.add_argument("--logX", default=False, action="store_true", help="Log-scale for X axis")
parser.add_argument("--zoomMass", default=[], nargs="+", help="Zoom mass [1] < mass < [0] GeV")
parser.add_argument("--zoomLxy", default=[], nargs="+", help="Zoom lxy [1] < lxy < [0] cm")
parser.add_argument("--zoomPixel2D", default=False, action="store_true", help="Zoom -20 <(x,y)< 20 cm")
parser.add_argument("--removeBeampipe2D", default=False, action="store_true", help="Remove points within beampipe")
parser.add_argument("--noPreSel", default=False, action="store_true", help="Do not plot pre-selection/association histograms")
parser.add_argument("--noDiMuon", default=False, action="store_true", help="Do not plot dimuon histograms")
parser.add_argument("--noFourMuon", default=False, action="store_true", help="Do not plot four-muon histograms for four-muon systems")
parser.add_argument("--noFourMuonOSV", default=False, action="store_true", help="Do not plot four-muon histograms for four-muon systems from overlapping SVs")
parser.add_argument("--plotOSV", default=False, action="store_true", help="Plot histograms for (di-/four-) muons from overlapping SVs")
parser.add_argument("--extraLabel", default="", help="Label to put on top of the plot")
parser.add_argument("--extraLabelBold", default="", help="Label to put on top of the plot")
parser.add_argument("--pdf", default=False, action="store_true", help="Output format: .pdf. Default: .png")
args = parser.parse_args()
isData = args.data
isSignal = args.signal
samples = args.inSamples
if len(samples)<1:
print("Please, specify list of samples to be plotted")
exit()
for s in samples:
if "Data" in s:
isData = True
break
skimFraction = float(args.partialUnblindingFraction)
skimEvents = args.partialUnblinding
if not isData:
skimEvents = False
luminosity2022 = 35.144834218
luminosity2022B = 0.085456340
luminosity2022C = 5.070714851
luminosity2022D = 3.006332096
luminosity2022E = 5.866801170
luminosity2022F = 18.006671456
luminosity2022G = 3.108858306
luminosity2023 = 27.208114203999997
luminosity2023B = 0.622430830
luminosity2023C = 5.557004785
luminosity2023C_triggerV10 = 11.503479528
luminosity2023D = 9.525199061
if float(args.lumi) > 0.00001:
luminosity = float(args.lumi)
elif samples[0]=="Data" and args.year=="allYears":
luminosity = luminosity2022 + luminosity2023
elif samples[0]!="Data" and len(samples)==1 and args.year=="2022":
ts = samples[0]
if ts=="DataB":
luminosity = luminosity2022B
elif ts=="DataC":
luminosity = luminosity2022C
elif ts=="DataD":
luminosity = luminosity2022D
elif ts=="DataE":
luminosity = luminosity2022E
elif ts=="DataF":
luminosity = luminosity2022F
elif ts=="DataG":
luminosity = luminosity2022G
else:
luminosity = luminosity2022
elif samples[0]=="Data" and args.year=="2022":
luminosity = luminosity2022
elif samples[0]!="Data" and len(samples)==1 and args.year=="2023":
ts = samples[0]
if ts=="DataB":
luminosity = luminosity2023B
elif ts=="DataC":
luminosity = luminosity2023C
elif ts=="DataC-triggerV10":
luminosity = luminosity2023C_triggerV10
elif ts=="DataD":
luminosity = luminosity2023D
elif samples[0]=="Data" and args.year=="2023":
luminosity = luminosity2023
else:
luminosity = 1.0
if skimEvents and skimFraction>0.0:
luminosity2022 = skimFraction*luminosity2022
luminosity2022B = skimFraction*luminosity2022B
luminosity2022C = skimFraction*luminosity2022C
luminosity2022D = skimFraction*luminosity2022D
luminosity2022E = skimFraction*luminosity2022E
luminosity2022F = skimFraction*luminosity2022F
luminosity2022G = skimFraction*luminosity2022G
luminosity2023 = skimFraction*luminosity2023
luminosity2023B = skimFraction*luminosity2023B
luminosity2023C = skimFraction*luminosity2023C
luminosity2023C_triggerV10 = skimFraction*luminosity2023C_triggerV10
luminosity2023D = skimFraction*luminosity2023D
legnames = dict()
legnames["Data"] = "Data"
legnames["DataB"] = "Run2022B (%.2f/fb)"%luminosity2022B
legnames["DataC"] = "Run2022C (%.2f/fb)"%luminosity2022C
legnames["DataD"] = "Run2022D (%.2f/fb)"%luminosity2022D
legnames["DataE"] = "Run2022E (%.2f/fb)"%luminosity2022E
legnames["DataF"] = "Run2022F (%.2f/fb)"%luminosity2022F
legnames["DataG"] = "Run2022G (%.2f/fb)"%luminosity2022G
legnames["DileptonMinBias"] = "MinBias simulation"
legnames["Signal_HTo2ZdTo2mu2x_MZd10_Epsilon1e-06"] = "HAHM: 10, #epsilon = 1x10^{-6}"
legnames["Signal_HTo2ZdTo2mu2x_MZd10_Epsilon5e-07"] = "HAHM: 10, #epsilon = 5x10^{-7}"
legnames["Signal_HTo2ZdTo2mu2x_MZd10_Epsilon1e-07"] = "HAHM: 10, #epsilon = 1x10^{-7}"
legnames["Signal_HTo2ZdTo2mu2x_MZd10_Epsilon3e-08"] = "HAHM: 10, #epsilon = 3x10^{-8}"
legnames["Signal_ScenB1_30_9p9_4p8_ctau_1mm"] = "#pi_{3}#rightarrowA'A': (m_{#pi_{3}},m_{A'}) = (9.9, 4.8) GeV, c#tau_{#pi_{3}} = 1 mm"
legnames["Signal_ScenB1_30_9p9_4p8_ctau_10mm"] = "#pi_{3}#rightarrowA'A': (m_{#pi_{3}},m_{A'}) = (9.9, 4.8) GeV, c#tau_{#pi_{3}} = 10 mm"
legnames["Signal_ScenB1_30_9p9_4p8_ctau_100mm"] = "#pi_{3}#rightarrowA'A': (m_{#pi_{3}},m_{A'}) = (9.9, 4.8) GeV, c#tau_{#pi_{3}} = 100 mm"
for s in samples:
if "Signal" in s and s not in legnames.keys():
legnames[s] = s.replace("_"," ")
if 'Signal_HTo2ZdTo2mu2x_MZd' in s and 'ctau' in s:
legtxt = "h#rightarrowZ_{{D}}Z_{{D}}: m = {} GeV, c#tau_{{Z_{{D}}}} = {}".format(s.split('MZd-')[1].split('_')[0].replace('p', '.'), s.split( 'ctau-')[1].split('mm')[0])
if "integrated" not in s:
legtxt = legtxt + " mm"
legnames[s] = legtxt
samplecol = []
for s in samples:
if "Signal" in s:
samplecol.append("signal")
elif "Data" in s:
samplecol.append(s)
else:
samplecol.append("mc")
indir = args.inDir
outdir = args.outDir
if args.relaxedSVSel:
outdir = outdir+"_relaxedSVselection"
if args.outSuffix!="":
outdir = outdir+"_"+args.outSuffix
if not os.path.exists(outdir):
os.makedirs(outdir)
os.system('cp '+os.environ.get("PWD")+'/utils/index.php '+outdir)
isMultiDir = (len(samples)==1 and len(args.inMultiDir)>1 or len(samples)==len(args.inMultiDir))
inmultidirs = []
inmultilegs = []
inmultiweights = []
if isMultiDir:
inmultidirs = args.inMultiDir
inmultilegs = args.inMultiLeg
if len(inmultilegs)<len(inmultidirs):
for i in range(len(inmultilegs),len(inmultidirs)):
inmultilegs.append("Unknown")
if len(args.inMultiWeights)>0:
if len(args.inMultiWeights)!=len(args.inMultiDir):
print("Weight structure is wrong! Exiting...")
exit
else:
inmultiweights = [float(x) for x in args.inMultiWeights]
else:
inmultiweights = [1.0 for n in range(0, len(inmultidirs))]
doRatio = args.doRatio
if len(samples)<=1 and not isMultiDir:
doRatio = False
roff = 0.0
if not doRatio:
roff=0.01
infiles = []
inyears = []
if len(args.inYears) > 1:
inyears = args.inYears
else:
if not isMultiDir:
inyears = len(samples)*[args.year]
else:
inyears = len(inmultidirs)*[args.year]
hname = "histograms"
if args.generator:
hname = "histograms_GEN"
if not isMultiDir:
for i,s in enumerate(samples):
if inyears[i]=='allYears':
if not os.path.isfile("%s/%s_%s_%s_all.root"%(indir,hname,s,inyears[i])):
os.system('hadd '+indir+'/'+hname+'_'+s+'_'+inyears[i]+'_all.root $(find '+indir+' -name "'+hname+'_'+s+'*_*_*.root")')
else:
if not os.path.isfile("%s/%s_%s_%s_all.root"%(indir,hname,s,inyears[i])):
os.system('hadd '+indir+'/'+hname+'_'+s+'_'+inyears[i]+'_all.root $(find '+indir+' -name "'+hname+'_'+s+'*_'+inyears[i]+'*.root")')
infiles.append(indir+'/'+hname+'_'+s+'_'+inyears[i]+'_all.root')
else:
for i,d in enumerate(inmultidirs):
if len(samples) == len(inmultidirs):
if not os.path.isfile("%s/%s_%s_%s_all.root"%(d,hname,samples[i],inyears[i])):
os.system('hadd '+d+'/'+hname+'_'+samples[i]+'_'+inyears[i]+'_all.root $(find '+d+' -name "'+hname+'_'+samples[i]+'*_'+inyears[i]+'_*.root")')
infiles.append(d+'/'+hname+'_'+samples[i]+'_'+inyears[i]+'_all.root')
else:
if not os.path.isfile("%s/%s_%s_%s_all.root"%(d,hname,samples[0],inyears[i])):
if inyears[i]=='allYears':
os.system('hadd '+d+'/'+hname+'_'+samples[0]+'_'+inyears[i]+'_all.root $(find '+d+' -name "'+hname+'_'+samples[0]+'*_*_*.root")')
else:
os.system('hadd '+d+'/'+hname+'_'+samples[0]+'_'+inyears[i]+'_all.root $(find '+d+' -name "'+hname+'_'+samples[0]+'*_'+inyears[i]+'_*.root")')
infiles.append(d+'/'+hname+'_'+samples[0]+'_'+inyears[i]+'_all.root')
if len(infiles)<1:
print("No matching input file was found in %s."%indir)
exit()
colors = dict()
colors["Data"] = [ROOT.kBlack, ROOT.kBlue]
colors["DataB"] = ROOT.kYellow+1
colors["DataC"] = ROOT.kOrange+1
colors["DataD"] = ROOT.kRed+1
colors["DataE"] = ROOT.kPink+1
colors["DataF"] = ROOT.kMagenta+1
colors["DataG"] = ROOT.kViolet+1
colors["signal"] = [ROOT.TColor.GetColor('#3f90da'), ROOT.TColor.GetColor('#ffa90e'), ROOT.TColor.GetColor('#bd1f01'), ROOT.TColor.GetColor('#94a4a2'), ROOT.TColor.GetColor('#832db6'), ROOT.TColor.GetColor('#a96b59'), ROOT.TColor.GetColor('#e76300'), ROOT.TColor.GetColor('#b9ac70'), ROOT.TColor.GetColor('#717581'), ROOT.TColor.GetColor('#92dadd')]
colors["mc"] = [ROOT.kRed-3]
if isMultiDir > 0:
if len(inmultidirs) < 7:
colorsMultiDir = [ROOT.kBlack,
ROOT.TColor.GetColor('#448aff'),
ROOT.TColor.GetColor('#8bc34a'),
ROOT.TColor.GetColor('#ffc107'),
ROOT.TColor.GetColor('#f44336'),
ROOT.TColor.GetColor('#f15bb5')]
elif len(inmultidirs) < 9:
colorsMultiDir = [ROOT.kBlack,
ROOT.TColor.GetColor('#448aff'),
ROOT.TColor.GetColor('#1565c0'),
ROOT.TColor.GetColor('#009688'),
ROOT.TColor.GetColor('#8bc34a'),
ROOT.TColor.GetColor('#ffc107'),
ROOT.TColor.GetColor('#f44336'),
ROOT.TColor.GetColor('#f15bb5')]
else:
colorsMultiDir = [ROOT.kBlack,
ROOT.TColor.GetColor('#448aff'),
ROOT.TColor.GetColor('#1565c0'),
ROOT.TColor.GetColor('#009688'),
ROOT.TColor.GetColor('#8bc34a'),
ROOT.TColor.GetColor('#ffc107'),
ROOT.TColor.GetColor('#ff9800'),
ROOT.TColor.GetColor('#f44336'),
ROOT.TColor.GetColor('#ad1457'),
ROOT.TColor.GetColor('#9d4edd')]
fin = ROOT.TFile.Open(infiles[0],"r")
listkeys = fin.GetListOfKeys()
size = listkeys.GetSize()
h1dn = []
h2dn = []
for i in range(0,size):
if "TH1" in listkeys.At(i).GetClassName():
h1dn.append(listkeys.At(i).GetName())
elif "TH2" in listkeys.At(i).GetClassName():
h2dn.append(listkeys.At(i).GetName())
h1d = []
h2d = []
inf = []
# Legend
ncl = 1
xol = 0.30
#if len(samples)>5:
# ncl=2
# xol=0.5
if len(inmultidirs)>5:
longLabel = False
for label in inmultilegs:
if len(label) > 30:
longLabel = True
break
if not longLabel:
ncl=2
xol=0.5
else:
xol=0.35
leg = ROOT.TLegend(0.62-xol, 0.89-0.045*max(len(samples),len(inmultidirs)+1)/ncl, 0.89, 0.89)
leg.SetNColumns(ncl)
leg.SetFillColor(0)
leg.SetFillStyle(0)
leg.SetLineWidth(0)
leg.SetTextSize(0.033)
leg.SetMargin(0.1)
nDataSamples = 0
nSigSamples = 0
nMCSamples = 0
for fn,f in enumerate(infiles):
print(fn, f)
inf.append(ROOT.TFile(f))
if len(h1dn)>0:
h1d.append([])
if len(h2dn)>0:
h2d.append([])
for hn in h1dn:
if not args.plotOSV:
if "osv" in hn:
continue
if args.noPreSel:
if "hsvsel_" in hn:
continue
if "h_nsvsel" in hn and "ass" not in hn:
continue
if "hmuon" in hn or "h_nmuons" in hn:
continue
if args.noDiMuon:
if "dimuon" in hn:
continue
if "ass" in hn and "fourmu" not in hn:
continue
if "selmuon" in hn and "fourmu" not in hn:
continue
if args.noFourMuon:
if "fourmu" in hn and "osv" not in hn:
continue
if args.noFourMuonOSV:
if "fourmu" in hn and "osv" in hn:
continue
ht = inf[fn].Get(hn).Clone("%s_%d"%(hn,fn))
#ht.SetDirectory(0)
h1d[fn].append(copy.deepcopy(ht))
if not isMultiDir:
if ("signal" not in samplecol[fn]) and ("mc" not in samplecol[fn]):
h1d[fn][len(h1d[fn])-1].SetLineColor (colors[samplecol[fn]][nDataSamples])
h1d[fn][len(h1d[fn])-1].SetMarkerColor(colors[samplecol[fn]][nDataSamples])
h1d[fn][len(h1d[fn])-1].SetMarkerStyle(20)
h1d[fn][len(h1d[fn])-1].SetMarkerSize(0.5)
elif "mc" not in samplecol[fn]:
h1d[fn][len(h1d[fn])-1].SetLineColor (colors[samplecol[fn]][nSigSamples])
h1d[fn][len(h1d[fn])-1].SetMarkerColor(colors[samplecol[fn]][nSigSamples])
else:
h1d[fn][len(h1d[fn])-1].SetLineColor (colors[samplecol[fn]][nMCSamples])
h1d[fn][len(h1d[fn])-1].SetMarkerColor(colors[samplecol[fn]][nMCSamples])
h1d[fn][len(h1d[fn])-1].SetFillColorAlpha(colors[samplecol[fn]][nMCSamples], 0.5)
else:
h1d[fn][len(h1d[fn])-1].SetLineColor (colorsMultiDir[fn])
h1d[fn][len(h1d[fn])-1].SetMarkerColor(colorsMultiDir[fn])
if not isMultiDir:
if "Data" in samplecol[fn]:
nDataSamples = nDataSamples+1
if "signal" in samplecol[fn]:
nSigSamples = nSigSamples+1
if "mc" in samplecol[fn]:
nMCSamples = nMCSamples+1
for hn in h2dn:
if not args.plotOSV:
if "osv" in hn:
continue
if args.noPreSel:
if "hsvsel_" in hn:
continue
if args.noDiMuon:
if "dimuon" in hn:
continue
if "hsvselass_" in hn:
continue
if args.noFourMuon:
if ("fourmu" in hn and "osv" not in hn):
continue
if args.noFourMuonOSV:
if ("fourmu" in h and "osv" in h):
continue
ht = inf[fn].Get(hn).Clone("%s_%d"%(hn,fn))
#ht.SetDirectory(0)
h2d[fn].append(copy.deepcopy(ht))
if len(h1d[fn])>0:
if not isMultiDir:
if "Data" in samples[fn] and '2022' in inyears and '2023' in inyears:
leg.AddEntry(h1d[fn][0], legnames[samples[fn]] + " ({})".format(inyears[fn]), "PEL")
elif "mc" in samplecol[fn]:
leg.AddEntry(h1d[fn][0], legnames[samples[fn]], "F")
else:
leg.AddEntry(h1d[fn][0], legnames[samples[fn]], "L")
else:
#leg.SetHeader(legnames[samples[0].split(" ")[0]])
if "Data" in samples[0] and '2022' in inyears and '2023' in inyears:
leg.AddEntry(h1d[fn][0], inmultilegs[fn] + " ({})".format(inyears[fn]), "PEL")
else:
leg.AddEntry(h1d[fn][0], inmultilegs[fn], "L")
# Draw histograms
unityArea = args.shape
scaleSignal = (not args.shape) and (not args.scaleSignal==1.0)
doLogy = args.logY
doLogx = args.logX
rebinWindow = int(args.rebinWindow)
# Weights (deactivated as signal should be weighted in filler for better handling of different eras conditions)
# Default xsec of 1 pb for every signal
#nevents = {}
#with open("data/Info_SignalMC.txt", "r") as file_:
# info = file_.readlines()
# for s in info:
# if s[0]=="#": continue
# s.replace('\n','')
# nevents[s.split(',')[0]] = float(s.split(',')[1])
#weights = []
#for s_,s in enumerate(samples):
# if "Signal" in s:
# sampleTag = s.replace('Signal_', '').split('_202')[0]
# if s not in nevents.keys():
# print("ATTENTION: Not weighting due to lack of information in Info_SignalMC.txt")
# weights.append(1.0) # Default for data (MC not considered)
# elif "2022" in inyears[s_]:
# weights.append(1000.0*luminosity2022/nevents[s]*100)
# elif "2023" in inyears[s_]:
# weights.append(1000.0*luminosity2023/nevents[s])
# else:
# weights.append(1.0) # Default for data (MC not considered)
weights = []
for s_,s in enumerate(samples):
if "Signal" in s:
weights.append(float(args.scaleSignal))
else:
weights.append(1.0)
# Labels
if args.year!='allYears':
yearenergy = "%.2f fb^{-1} (%s, 13.6 TeV)"%(luminosity,args.year)
else:
yearenergy = "%.2f fb^{-1} (2022+2023, 13.6 TeV)"%(luminosity)
cmsExtra = "Preliminary"
if not isData:
yearenergy = "(13.6 TeV)"
cmsExtra = "Simulation"
drawCMSOnTop = True
#
latex = ROOT.TLatex()
latex.SetTextFont(42)
latex.SetTextAlign(31)
latex.SetTextSize(0.04)
latex.SetNDC(True)
#
latexCMS = ROOT.TLatex()
latexCMS.SetTextFont(61)
latexCMS.SetTextSize(0.055)
latexCMS.SetNDC(True)
#
latexCMSExtra = ROOT.TLatex()
latexCMSExtra.SetTextFont(52)
latexCMSExtra.SetTextSize(0.04)
latexCMSExtra.SetNDC(True)
#
latexExtra = ROOT.TLatex()
latexExtra.SetTextFont(42)
latexExtra.SetTextSize(0.034)
latexExtra.SetNDC(True)
#
latexExtraBold = ROOT.TLatex()
latexExtraBold.SetTextFont(62)
latexExtraBold.SetTextSize(0.034)
latexExtraBold.SetNDC(True)
h1dr = []
h1dr_den = []
h_axis = []
h_axis_ratio = []
minX = []
maxX = []
minY = []
maxY = []
line = []
for fn in range(len(infiles)):
h1dr.append([])
if not args.plotOSV:
h1dn = [h for h in h1dn if not ("osv" in h)]
h2dn = [h for h in h2dn if not ("osv" in h)]
if args.noPreSel:
h1dn = [h for h in h1dn if not ("hsvsel_" in h)]
h1dn = [h for h in h1dn if not ("h_nsvsel" in h and "ass" not in h)]
h1dn = [h for h in h1dn if not ("hmuon" in h)]
h1dn = [h for h in h1dn if not ("h_nmuons" in h)]
h2dn = [h for h in h2dn if not ("hsvsel_" in h)]
if args.noDiMuon:
h1dn = [h for h in h1dn if not ("dimuon" in h)]
h1dn = [h for h in h1dn if not ("ass" in h and "fourmu" not in h)]
h1dn = [h for h in h1dn if not ("semuon" in h and "fourmu" not in h)]
h2dn = [h for h in h2dn if not ("hsvselass_" in h)]
if args.noFourMuon:
h1dn = [h for h in h1dn if not ("fourmu" in h and "osv" not in h)]
if args.noFourMuonOSV:
h1dn = [h for h in h1dn if not ("fourmu" in h and "osv" in h)]
for hn,hnn in enumerate(h1dn):
isZoom = False
tminY = 1e100
tmaxY = 0.0
for fn in range(len(infiles)):
sfSVrange = 1.0
if args.relaxedSVSel:
sfSVrange = 5.0
if "_type" not in hnn:
xmin=None
xmax=None
if "reldmass" in hnn:
xmax=2.0
if "lxy" in hnn:
if len(args.zoomLxy)>0:
xmax=float(args.zoomLxy[0])
isZoom = True
if len(args.zoomLxy)>1:
xmin=float(args.zoomLxy[1])
if ("selass" in hnn or "dimuon" in hnn) and "sig" not in hnn:
if len(args.lxySel)>0:
xmin=float(args.lxySel[0])
isZoom = True
if len(args.lxySel)>1:
xmax=float(args.lxySel[1])
if "mass" in hnn and "reld" not in hnn:
if len(args.zoomMass)>0:
xmax=float(args.zoomMass[0])
isZoom = True
if len(args.zoomMass)>1:
xmin=float(args.zoomMass[1])
if "dimuon" in hnn or "Dimuon" in hnn:
if len(args.dimuonMassSel)>0:
xmin=float(args.dimuonMassSel[0])
isZoom = True
if len(args.dimuonMassSel)>1:
xmax=float(args.dimuonMassSel[1])
if "fourmuon_mass" in hnn or "FourMu" in hnn:
if len(args.fourmuonMassSel)>0:
xmin=float(args.fourmuonMassSel[0])
isZoom = True
if len(args.fourmuonMassSel)>1:
xmax=float(args.fourmuonMassSel[1])
if "sv" in hnn and ("xerr" in hnn or "yerr" in hnn):
xmax=0.05*sfSVrange
if "sv" in hnn and "zerr" in hnn:
xmax=0.10*sfSVrange
if "sv" in hnn and "chi2ndof" in hnn and not "muon" in hnn:
xmax=5.0*sfSVrange
if "sv" in hnn and "d3derr" in hnn:
xmax=0.15
if not isZoom:
plotUtils.PutUnderflowInFirstBin(h1d[fn][hn],xmin)
plotUtils.PutOverflowInLastBin(h1d[fn][hn],xmax)
if "mass" in hnn and "reld" not in hnn and rebinWindow > 0:
h1d[fn][hn].Rebin(rebinWindow)
elif "mass" in hnn and "reld" not in hnn and rebinWindow < 1:
h1d[fn][hn].Rebin(10)
ytitle = h1d[fn][hn].GetYaxis().GetTitle()
ytitle = ytitle.replace("0.01","0.1")
h1d[fn][hn].GetYaxis().SetTitle(ytitle)
if "sv" in hnn and "sig" in hnn:
h1d[fn][hn].Rebin(5)
ytitle = h1d[fn][hn].GetYaxis().GetTitle()
ytitle = ytitle.replace("0.1","0.5")
h1d[fn][hn].GetYaxis().SetTitle(ytitle)
if "dphisv" in hnn or "3danglesv" in hnn:
h1d[fn][hn].Rebin(10)
ytitle = h1d[fn][hn].GetYaxis().GetTitle()
ytitle = ytitle.replace("0.01","0.1")
h1d[fn][hn].GetYaxis().SetTitle(ytitle)
else:
if "mass" in hnn and "reld" not in hnn and rebinWindow > 0:
if rebinWindow == 1:
width = xmax - xmin
nbins = int(width/0.01)
for n in range(30, 51):
if nbins%n==0:
h1d[fn][hn].Rebin(int(nbins/n))
break
ytitle = h1d[fn][hn].GetYaxis().GetTitle()
ytitle = ytitle.replace("0.01","{:.2f}".format(int(nbins/n)*0.01))
h1d[fn][hn].GetYaxis().SetTitle(ytitle)
else:
h1d[fn][hn].Rebin(rebinWindow)
ytitle = h1d[fn][hn].GetYaxis().GetTitle()
ytitle = ytitle.replace("0.01","{:.2f}".format(rebinWindow*0.01))
h1d[fn][hn].GetYaxis().SetTitle(ytitle)
if "reld" in hnn:
h1d[fn][hn].Rebin(5)
if "dxyscaled" in hnn:
h1d[fn][hn].Rebin(5)
if scaleSignal:
h1d[fn][hn].Scale(weights[fn])
if isMultiDir:
h1d[fn][hn].Scale(inmultiweights[fn])
h1dr[fn].append(h1d[fn][hn].Clone("%s_ratio"%hnn))
tbm = 1
tbM = h1d[fn][hn].GetNbinsX()
if fn==0:
h1dr_den.append(h1d[fn][hn].Clone("%s_denominator"%hnn))
if not isMultiDir and samples[fn]=="Data":
for b in range(1,h1dr[fn][hn].GetNbinsX()+1):
h1dr_den[hn].SetBinError(b,0.0)
if isMultiDir and "lxy" not in inmultidirs[fn]:
for b in range(1,h1dr[fn][hn].GetNbinsX()+1):
h1dr_den[hn].SetBinError(b,0.0)
if xmin!=None:
tbm = h1d[fn][hn].GetXaxis().FindBin(xmin)
h1d [fn][hn].GetXaxis().SetRangeUser(h1d[fn][hn].GetXaxis().GetBinLowEdge(tbm),h1d[fn][hn].GetXaxis().GetBinUpEdge(h1d[fn][hn].GetNbinsX()))
h1dr[fn][hn].GetXaxis().SetRangeUser(h1d[fn][hn].GetXaxis().GetBinLowEdge(tbm),h1d[fn][hn].GetXaxis().GetBinUpEdge(h1d[fn][hn].GetNbinsX()))
if xmax!=None:
tbM = h1d[fn][hn].GetXaxis().FindBin(xmax)
if (h1d[fn][hn].Integral(tbM, -1)<=0.0 and h1d[fn][hn].Integral(1, tbM-1)>0) or (isZoom and not xmax>h1d[fn][hn].GetXaxis().GetBinLowEdge(tbM)):
tbM = tbM-1
h1d [fn][hn].GetXaxis().SetRangeUser(h1d[fn][hn].GetXaxis().GetBinLowEdge(1),h1d[fn][hn].GetXaxis().GetBinUpEdge(tbM))
h1dr[fn][hn].GetXaxis().SetRangeUser(h1d[fn][hn].GetXaxis().GetBinLowEdge(1),h1d[fn][hn].GetXaxis().GetBinUpEdge(tbM))
if xmin!=None and xmax!=None:
tbm = h1d[fn][hn].GetXaxis().FindBin(xmin)
tbM = h1d[fn][hn].GetXaxis().FindBin(xmax)
if (h1d[fn][hn].Integral(tbM, -1)<=0.0 and h1d[fn][hn].Integral(tbm, tbM-1)>0) or (isZoom and not xmax>h1d[fn][hn].GetXaxis().GetBinLowEdge(tbM)):
tbM = tbM-1
h1d [fn][hn].GetXaxis().SetRangeUser(h1d[fn][hn].GetXaxis().GetBinLowEdge(tbm),h1d[fn][hn].GetXaxis().GetBinUpEdge(tbM))
h1dr[fn][hn].GetXaxis().SetRangeUser(h1d[fn][hn].GetXaxis().GetBinLowEdge(tbm),h1d[fn][hn].GetXaxis().GetBinUpEdge(tbM))
if not isMultiDir and "Data" in samples[fn]:
h1d [fn][hn].SetBinErrorOption(ROOT.TH1.kPoisson)
h1dr[fn][hn].SetBinErrorOption(ROOT.TH1.kPoisson)
if isMultiDir and "Data" in samples[0]:
h1d [fn][hn].SetBinErrorOption(ROOT.TH1.kPoisson)
h1dr[fn][hn].SetBinErrorOption(ROOT.TH1.kPoisson)
h1d[fn][hn].GetYaxis().SetLabelSize(0.025)
h1d[fn][hn].GetYaxis().SetMaxDigits(3)
h1d[fn][hn].SetLineWidth(2)
ytitle = h1d[fn][hn].GetYaxis().GetTitle()
"""
if not unityArea:
tmaxY = max(tmaxY, 1.4*h1d[fn][hn].GetMaximum())
tminY = 0.0
if doLogy:
tmaxY = 100*tmaxY
tminY = 0.1
if weightSignal:
tminY = 0.001
"""
h1d[fn][hn].SetLineWidth(2)
if unityArea:
ytitle = ytitle.replace("Events", "Fraction of events")
integral = h1d[fn][hn].Integral(0,-1)
if integral>0.0:
h1d[fn][hn].Scale(1.0/integral)
h1dr[fn][hn].Scale(1.0/integral)
if fn==0:
h1dr_den[hn].Scale(1.0/integral)
tmaxY = max(tmaxY, h1d[fn][hn].GetMaximum())
if doLogy:
minb = 1e100
for b in range(1,h1d[fn][hn].GetNbinsX()+1):
if b > tbM or b < tbm:
continue
if h1d[fn][hn].GetBinContent(b)<minb and h1d[fn][hn].GetBinContent(b)>0.0:
minb = h1d[fn][hn].GetBinContent(b)
tminY = min(0.1*minb,0.1)
if h1d[fn][hn].GetMaximum() > 0.0:
tmaxY = 10**((math.log10(h1d[fn][hn].GetMaximum()) - math.log10(tminY)))
#print(h1d[fn][hn].GetName(), tmaxY, h1d[fn][hn].GetMaximum(), tminY)
else:
tmaxY = 1.0
else:
tminY = 0.0
tmaxY = 1.5*h1d[fn][hn].GetMaximum()
else:
tminY = 0.0
if doLogy:
tmaxY = max(tmaxY, 1000*h1d[fn][hn].GetMaximum())
tminY = 0.1 # change to 0.01
else:
tmaxY = max(tmaxY, 1.4*h1d[fn][hn].GetMaximum())
h1dr[fn][hn].Divide(h1dr_den[hn])
if "hsv" in hnn and not "mind" in hnn and not "maxd" in hnn:
ytitle = ytitle.replace("Events", "Number of SVs")
ytitle = ytitle.replace("events", "SVs")
if "hmuon" in hnn and hnn!="hmuon_mindr" and hnn!="hmuon_maxdr":
ytitle = ytitle.replace("Events", "Number of muons")
ytitle = ytitle.replace("events", "muons")
h1d[fn][hn].GetYaxis().SetTitle(ytitle)
if fn==0:
h_axis.append(h1d[fn][hn].Clone("axis_%s"%hnn))
h_axis[hn].Reset("ICE")
h_axis[hn].SetTitle("")
h_axis[hn].GetYaxis().SetTitleSize(0.04)
h_axis[hn].GetYaxis().SetTitleOffset(1.35)
h_axis[hn].GetXaxis().SetTitleSize(0.04)
h_axis[hn].GetXaxis().SetTitleOffset(1.25-roff*10.0)
h_axis[hn].GetXaxis().SetLabelSize(0.035)
h_axis[hn].GetYaxis().SetLabelSize(0.035)
h_axis_ratio.append(h_axis[hn].Clone("axis_ratio_%s"%hnn))
if xmax==None:
maxX.append(h_axis[hn].GetXaxis().GetBinUpEdge(plotUtils.GetLastBin(h_axis[hn])))
else:
maxX.append(min(h_axis[hn].GetXaxis().GetBinUpEdge(tbM),
h_axis[hn].GetXaxis().GetBinUpEdge(plotUtils.GetLastBin(h_axis[hn]))))
if xmin==None:
minX.append(h_axis[hn].GetXaxis().GetBinLowEdge(plotUtils.GetFirstBin(h_axis[hn])))
else:
minX.append(max(h_axis[hn].GetXaxis().GetBinLowEdge(tbm),
h_axis[hn].GetXaxis().GetBinLowEdge(plotUtils.GetFirstBin(h_axis[hn
]))))
line.append(ROOT.TLine(minX[hn], 1.0, maxX[hn], 1.0))
minY.append(tminY)
maxY.append(tmaxY)
else:
if tminY<minY[hn]:
minY[hn]=tminY
if tmaxY>maxY[hn]:
maxY[hn]=tmaxY
ROOT.gStyle.SetOptStat(0)
ROOT.gStyle.SetFrameLineWidth(2);
if doRatio:
can = ROOT.TCanvas("can","",600, 600)
else:
can = ROOT.TCanvas("can","",700, 600)
minR = []
maxR = []
for hn,hnn in enumerate(h1dn):
pads = []
if doRatio:
pads.append(ROOT.TPad("1","1",0.0,0.3,1.0,1.0))
pads.append(ROOT.TPad("2","2",0.0,0.01,1.0,0.3))
pads[0].SetTopMargin(0.08)
pads[0].SetBottomMargin(0.015)
pads[0].SetLeftMargin(0.10)
pads[0].SetRightMargin(0.05)
pads[1].SetTopMargin(0.05)
pads[1].SetLeftMargin(0.10)
pads[1].SetRightMargin(0.05)
pads[1].SetBottomMargin(0.4)
else:
pads.append(ROOT.TPad("1","1",0,0,1,1))
pads[0].SetTopMargin(0.08)
pads[0].SetLeftMargin(0.10)
pads[0].SetRightMargin(0.05)
if doRatio:
h_axis[hn].GetXaxis().SetTitleSize(0.0)
h_axis[hn].GetXaxis().SetLabelSize(0.0)
h_axis[hn].GetYaxis().SetTitleSize(0.05)
h_axis[hn].GetYaxis().SetLabelSize(0.045)
h_axis[hn].GetYaxis().SetTitleOffset(1.05)
minR.append(0.0)
maxR.append(2.0)
ty = np.array([])
tmax=maxR[hn]
for fn in range(len(infiles)):
tg = ROOT.TGraph(h1dr[fn][hn])
ty = tg.GetY()
if len(ty)>0:
tmax = np.amax(ty)
if tmax>maxR[hn]:
maxR[hn]=tmax*1.05
if maxR[hn]>5.0:
minR[hn]=0.1
h_axis_ratio[hn].GetYaxis().SetRangeUser(minR[hn],maxR[hn])
h_axis_ratio[hn].SetMinimum(minR[hn])
h_axis_ratio[hn].SetMaximum(maxR[hn])
h_axis_ratio[hn].SetTitle(";;Ratio")
h_axis_ratio[hn].GetYaxis().SetTitleSize(0.12)
h_axis_ratio[hn].GetYaxis().SetTitleOffset(0.25)
if doLogy:
h_axis_ratio[hn].GetYaxis().SetTitleOffset(0.4)
h_axis_ratio[hn].GetYaxis().SetNdivisions(505)
h_axis_ratio[hn].GetYaxis().SetLabelSize(0.12)
h_axis_ratio[hn].GetYaxis().CenterTitle()
h_axis_ratio[hn].GetYaxis().SetTickLength(0.02)
h_axis_ratio[hn].GetXaxis().SetLabelSize(0.12)
h_axis_ratio[hn].GetXaxis().SetTitleSize(0.12)
h_axis_ratio[hn].GetXaxis().SetTitle(h1d[0][hn].GetXaxis().GetTitle())
h_axis_ratio[hn].GetXaxis().SetTickSize(0.06)
pads[0].Draw()
pads[1].Draw()
pads[1].cd()
if maxR[hn]>5.0:
pads[1].SetLogy()
pads[1].SetTickx()
pads[1].SetTicky()
h_axis_ratio[hn].Draw("AXIS")
for fn in range(1,len(infiles)):
h1dr[fn][hn].Draw("SAME,P,E")
line[hn].SetLineStyle(2)
if not isMultiDir:
line[hn].SetLineColor(h1dr[0][hn].GetLineColor())
else:
line[hn].SetLineColor(colorsMultiDir[0])
line[hn].SetLineWidth(1)
line[hn].Draw("SAME")
pads[1].Modified()
pads[1].Update()
else:
h_axis[hn].GetXaxis().SetTitleSize(0.04)
h_axis[hn].GetXaxis().SetLabelSize(0.04)
h_axis[hn].GetYaxis().SetTitleSize(0.04)
h_axis[hn].GetYaxis().SetLabelSize(0.04)
#h_axis[hn].GetYaxis().SetTitleOffset(1.05)
pads[0].Draw()
pads[0].cd()
#pads[0].SetTickx()
#pads[0].SetTicky()
if doLogy:
pads[0].SetLogy()
if doLogx:
pads[0].SetLogx()
if doRatio:
pads[1].SetLogx()
#h_axis[hn].GetYaxis().SetMoreLogLabels()
if doLogy:
maxY[hn] = maxY[hn]
else:
maxY[hn] = maxY[hn]
h_axis[hn].GetYaxis().SetRangeUser(minY[hn], maxY[hn])
h_axis[hn].SetMinimum(minY[hn])
h_axis[hn].SetMaximum(maxY[hn])
h_axis[hn].Draw("")
fnd = []
for fn in range(len(infiles)):
if (isMultiDir and "Data" in samples[0]):
#h1d[fn][hn].Draw("SAME,P,E")
h1d[fn][hn].Draw("SAME,HIST")
elif (not isMultiDir and "Data" in samples[fn]):
fnd.append(fn)
else:
h1d[fn][hn].Draw("SAME,HIST")
if (len(fnd) > 0):
for fn_ in fnd:
h1d[fnd[fn_]][hn].Draw("SAME,P,E")
leg.Draw("same")
pads[0].RedrawAxis()
pads[0].Update()
can.cd()
latex.DrawLatex(0.95, 0.945-roff, yearenergy);
if drawCMSOnTop:
latexCMS.DrawLatex(0.11,0.945-roff,"CMS");
if doRatio:
latexCMSExtra.DrawLatex(0.23,0.945-roff, cmsExtra);
else:
latexCMSExtra.DrawLatex(0.21,0.945-roff, cmsExtra);
else:
latexCMS.DrawLatex(0.14,0.875,"CMS");
latexCMSExtra.DrawLatex(0.14,0.825, cmsExtra);
latexExtra.DrawLatex(0.14,0.8,args.extraLabel);
latexExtraBold.DrawLatex(0.14,0.85,args.extraLabelBold);
outname = "%s"%hnn
if "d_Dimuon" in outname:
if "excluded" in outname:
latexExtra.DrawLatex(0.14,0.86,"Dimuon")
latexExtra.DrawLatex(0.14,0.76,"Excluded")
elif 'inclusive' in outname:
latexExtra.DrawLatex(0.14,0.86,"Dimuon")
latexExtra.DrawLatex(0.14,0.76,"Inclusive")
elif "non-pointing" not in outname:
latexExtra.DrawLatex(0.14,0.86,"Dimuon")
catnames = outname.split("_")
lxybin = catnames[2]
lxybin = (lxybin[3:]).split("to")
latexExtra.DrawLatex(0.14,0.81,"l_{{xy}} #in [{},{}]".format(lxybin[0].replace("p", "."), lxybin[1].replace("p", ".")))
isobin = "Isolated" if catnames[3]=="iso1" else "Non isolated"
latexExtra.DrawLatex(0.14,0.76,isobin)
ptbin = "High p_{T}^{#mu#mu}" if catnames[4]=="pthigh" else "Low p_{T}^{#mu#mu}"
latexExtra.DrawLatex(0.14,0.71,ptbin)
else:
latexExtra.DrawLatex(0.14,0.86,"Dimuon")
catnames = outname.split("_")
lxybin = catnames[2]
lxybin = (lxybin[3:]).split("to")
latexExtra.DrawLatex(0.14,0.81,"l_{{xy}} #in [{},{}]".format(lxybin[0].replace("p", "."), lxybin[1].replace("p", ".")))
latexExtra.DrawLatex(0.14,0.76,"Non-pointing")
elif "d_FourMu" in outname:
latexExtraBold.DrawLatex(0.14,0.86,"Four muon")
fourmucat = "Resolved" if "sep" in outname else "Overlapping"
latexExtra.DrawLatex(0.14,0.81,fourmucat)
if "h_" in outname and not "d_" in outname:
outname = outname.replace("h_","")
elif "hsv" in outname or "hmuon" in outname or "hsel" in outname:
outname = outname.replace("hsv","sv")
outname = outname.replace("hmuon","muon")
outname = outname.replace("hsel","sel")
elif "hdi" in outname or "hfour" in outname:
outname = outname.replace("hdi","di")
outname = outname.replace("hfour","four")
if unityArea:
outname = outname+"_unitArea"
if doLogy:
outname = outname+"_logY"
can.SaveAs("%s/%s.png"%(outdir,outname))
if args.pdf:
can.SaveAs("%s/%s.pdf"%(outdir,outname))
can.Clear()
del pads
for hn,hnn in enumerate(h2dn):
for fn in range(len(infiles)):
h = h2d[fn][hn].Clone()
if "lxycomp" in hnn:
if len(args.lxySel)>0:
xmin=float(args.lxySel[0])
ymin=float(args.lxySel[0])
isZoom = True
if len(args.lxySel)>1:
xmax=float(args.lxySel[1])
ymax=float(args.lxySel[1])
h.GetXaxis().SetRangeUser(xmin, xmax)
h.GetYaxis().SetRangeUser(ymin, ymax)
if "yvsx" in hnn:
maxc = 100.0
maxcPixel = 17.5
zoomPixel2D = args.zoomPixel2D
if len(args.lxySel)>1 and float(args.lxySel[1])<maxcPixel and "selass" in hnn:
zoomPixel2D = True
if len(args.zoomLxy)>0 and float(args.zoomLxy[0])<maxcPixel and "selass" in hnn:
zoomPixel2D = True
if zoomPixel2D:
maxc = maxcPixel
minc = -1.0*maxc
h.GetXaxis().SetRangeUser(minc, maxc)
h.GetYaxis().SetRangeUser(minc, maxc)
if args.removeBeampipe2D:
maxbp = 1.0
for b in range(1,h.GetNbinsX()+1):
if h.GetXaxis().GetBinLowEdge(b)<=0.0 and h.GetXaxis().GetBinLowEdge(b)>-1.0*maxbp:
for bb in range(1,h.GetNbinsY()+1):
if h.GetYaxis().GetBinLowEdge(bb)<=0.0 and h.GetYaxis().GetBinLowEdge(bb)>-1.0*maxbp:
h.SetBinContent(b,bb,0.0)
h.SetBinError (b,bb,0.0)
elif h.GetYaxis().GetBinUpEdge(bb)>0.0 and h.GetYaxis().GetBinUpEdge(bb)<maxbp:
h.SetBinContent(b,bb,0.0)
h.SetBinError (b,bb,0.0)
elif h.GetXaxis().GetBinLowEdge(b)>=0.0 and h.GetXaxis().GetBinUpEdge(b)<maxbp:
for bb in range(1,h.GetNbinsY()+1):
if h.GetYaxis().GetBinLowEdge(bb)<=0.0 and h.GetYaxis().GetBinLowEdge(bb)>-1.0*maxbp:
h.SetBinContent(b,bb,0.0)
h.SetBinError (b,bb,0.0)
elif h.GetYaxis().GetBinUpEdge(bb)>0.0 and h.GetYaxis().GetBinUpEdge(bb)<maxbp:
h.SetBinContent(b,bb,0.0)
h.SetBinError (b,bb,0.0)
can.cd()
ROOT.gPad.SetLogy(0)
if doLogy:
ROOT.gPad.SetLogz()
h.GetXaxis().SetLabelSize(0.025)
h.GetYaxis().SetLabelSize(0.025)
ztitle = h.GetZaxis().GetTitle()
integral = h.Integral(0,-1,0,-1)
if unityArea:
ztitle = ztitle.replace("Events", "Fraction of events")
ztitle = ztitle.replace("Number", "Fraction")
if integral>0:
h.Scale(1.0/integral)
if not doLogy:
h.GetZaxis().SetRangeUser(0.0,1.1*h.GetMaximum())
else: