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#!/usr/bin/env python
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from samplesclass import sample
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from printcolor import printc
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import pickle
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import ROOT
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from ROOT import TFile, TTree
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import ROOT
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from array import array
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from BetterConfigParser import BetterConfigParser
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import sys, os
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from mvainfos import mvainfo
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#from gethistofromtree import getHistoFromTree, orderandadd
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from Ratio import getRatio
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from optparse import OptionParser
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from HistoMaker import HistoMaker, orderandadd
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import TdrStyles
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#CONFIGURE
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argv = sys.argv
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parser = OptionParser()
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parser.add_option("-P", "--path", dest="path", default="",
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help="path to samples")
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parser.add_option("-R", "--reg", dest="region", default="",
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help="region to plot")
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parser.add_option("-C", "--config", dest="config", default=[], action="append",
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help="configuration file")
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(opts, args) = parser.parse_args(argv)
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if opts.config =="":
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opts.config = "config"
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print opts.config
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config = BetterConfigParser()
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config.read(opts.config)
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anaTag = config.get("Analysis","tag")
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path = opts.path
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region = opts.region
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plotConfig = BetterConfigParser()
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plotConfig.read('vhbbPlotDef.ini')
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#get locations:
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Wdir=config.get('Directories','Wdir')
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section='Plot:%s'%region
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Normalize = eval(config.get(section,'Normalize'))
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log = eval(config.get(section,'log'))
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blind = eval(config.get(section,'blind'))
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infofile = open(path+'/samples.info','r')
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info = pickle.load(infofile)
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infofile.close()
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#options = plot.split(',')
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mass = config.get(section,'Signal')
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vars = (config.get(section, 'vars')).split(',')
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names = [plotConfig.get('plotDef:%s'%x,'relPath') for x in vars]
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nBins = [eval(plotConfig.get('plotDef:%s'%x,'nBins')) for x in vars]
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xMin = [eval(plotConfig.get('plotDef:%s'%x,'min')) for x in vars]
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xMax = [eval(plotConfig.get('plotDef:%s'%x,'max')) for x in vars]
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xAxis = [plotConfig.get('plotDef:%s'%x,'xAxis') for x in vars]
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for p in range(0,len(names)):
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if '<mass>' in names[p]:
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newp= names[p].replace('<mass>',mass)
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names[p]=newp
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print names[p]
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data = config.get(section,'Datas')
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if config.has_option(section, 'Datacut'):
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datacut=config.get(section, 'Datacut')
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else:
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datacut = region
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options=[]
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if blind: blindopt='blind'
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else: blindopt = 'noblind'
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for i in range(0,len(vars)):
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options.append([names[i],'',xAxis[i],nBins[i],xMin[i],xMax[i],'%s_%s.pdf'%(region,vars[i]),region,datacut,mass,data,blindopt])
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setup=config.get('Plot_general','setup')
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setup=setup.split(',')
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samples=config.get('Plot_general','samples')
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samples=samples.split(',')
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colorDict=eval(config.get('Plot_general','colorDict'))
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#color=color.split(',')
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weightF=config.get('Weights','weightF')
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Group = eval(config.get('Plot_general','Group'))
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#GETALL AT ONCE
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Plotter=HistoMaker(path,config,region,options)
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#print '\nProducing Plot of %s\n'%vars[v]
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Lhistos = [[] for _ in range(0,len(vars))]
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Ltyps = [[] for _ in range(0,len(vars))]
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Ldatas = [[] for _ in range(0,len(vars))]
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Ldatatyps = [[] for _ in range(0,len(vars))]
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Ldatanames = [[] for _ in range(0,len(vars))]
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#Find out Lumi:
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for job in info:
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if job.name in data: lumi_data=float(job.lumi)
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Plotter.lumi=lumi_data
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for job in info:
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if eval(job.active):
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if job.subsamples:
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for subsample in range(0,len(job.subnames)):
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if job.subnames[subsample] in samples:
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hTempList, typList = Plotter.getHistoFromTree(job,subsample)
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for v in range(0,len(vars)):
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Lhistos[v].append(hTempList[v])
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Ltyps[v].append(Group[job.subnames[subsample]])
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else:
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if job.name in samples:
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#print job.getpath()
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hTempList, typList = Plotter.getHistoFromTree(job)
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for v in range(0,len(vars)):
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Lhistos[v].append(hTempList[v])
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Ltyps[v].append(Group[job.name])
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elif job.name in data:
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#print 'DATA'
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hTemp, typ = Plotter.getHistoFromTree(job)
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for v in range(0,len(vars)):
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Ldatas[v].append(hTemp[v])
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Ldatatyps[v].append(typ[v])
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Ldatanames[v].append(job.name)
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for v in range(0,len(vars)):
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histos = Lhistos[v]
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typs = Ltyps[v]
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datas = Ldatas[v]
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datatyps = Ldatatyps[v]
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datanames= Ldatanames[v]
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TdrStyles.tdrStyle()
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c = ROOT.TCanvas(vars[v],'', 600, 600)
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c.SetFillStyle(4000)
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c.SetFrameFillStyle(1000)
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c.SetFrameFillColor(0)
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oben = ROOT.TPad('oben','oben',0,0.3 ,1.0,1.0)
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oben.SetBottomMargin(0)
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oben.SetFillStyle(4000)
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oben.SetFrameFillStyle(1000)
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oben.SetFrameFillColor(0)
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unten = ROOT.TPad('unten','unten',0,0.0,1.0,0.3)
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unten.SetTopMargin(0.)
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unten.SetBottomMargin(0.35)
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unten.SetFillStyle(4000)
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unten.SetFrameFillStyle(1000)
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unten.SetFrameFillColor(0)
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oben.Draw()
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unten.Draw()
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oben.cd()
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allStack = ROOT.THStack(vars[v],'')
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l = ROOT.TLegend(0.75, 0.63, 0.88, 0.88)
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MC_integral=0
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MC_entries=0
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for histo in histos:
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MC_integral+=histo.Integral()
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#MC_entries+=histo.GetEntries()
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print "\033[1;32m\n\tMC integral = %s\033[1;m"%MC_integral
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#ORDER AND ADD TOGETHER
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#print typs
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#print setup
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histos, typs = orderandadd(histos,typs,setup)
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k=len(histos)
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for j in range(0,k):
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#print histos[j].GetBinContent(1)
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i=k-j-1
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histos[i].SetFillColor(int(colorDict[setup[i]]))
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histos[i].SetLineColor(1)
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allStack.Add(histos[i])
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l.AddEntry(histos[j],typs[j],'F')
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d1 = ROOT.TH1F('noData','noData',nBins[v],xMin[v],xMax[v])
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datatitle=''
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for i in range(0,len(datas)):
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d1.Add(datas[i],1)
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if i ==0:
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datatitle=datanames[i]
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else:
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datatitle=datatitle+ ' + '+datanames[i]
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print "\033[1;32m\n\tDATA integral = %s\033[1;m"%d1.Integral()
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flow = d1.GetEntries()-d1.Integral()
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if flow > 0:
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print "\033[1;31m\tU/O flow: %s\033[1;m"%flow
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l.AddEntry(d1,datatitle,'PL')
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if Normalize:
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if MC_integral != 0: stackscale=d1.Integral()/MC_integral
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stackhists=allStack.GetHists()
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for blabla in stackhists:
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if MC_integral != 0: blabla.Scale(stackscale)
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allMC=ROOT.TH1F('allMC','allMC',nBins[v],xMin[v],xMax[v])
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allMC.Sumw2()
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for bin in range(0,nBins[v]):
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allMC.SetBinContent(bin,allStack.GetStack().Last().GetBinContent(bin))
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allMC.SetBinError(bin,allStack.GetStack().Last().GetBinError(bin))
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allStack.SetTitle()
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allStack.Draw("hist")
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allStack.GetXaxis().SetTitle('')
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yTitle = 'Entries'
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if not '/' in yTitle:
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yAppend = '%s' %(allStack.GetXaxis().GetBinWidth(1))
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yTitle = '%s / %s' %(yTitle, yAppend)
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allStack.GetYaxis().SetTitle(yTitle)
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allStack.GetXaxis().SetRangeUser(xMin[v],xMax[v])
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allStack.GetYaxis().SetRangeUser(0,20000)
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theErrorGraph = ROOT.TGraphErrors(allMC)
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theErrorGraph.SetFillColor(ROOT.kGray+3)
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theErrorGraph.SetFillStyle(3013)
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theErrorGraph.Draw('SAME2')
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Ymax = max(allStack.GetMaximum(),d1.GetMaximum())*1.3
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allStack.SetMaximum(Ymax)
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allStack.SetMinimum(0.1)
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c.Update()
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if log:
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ROOT.gPad.SetLogy()
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ROOT.gPad.SetTicks(1,1)
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#allStack.Draw("hist")
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d1.Draw("E0same")
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l.SetFillColor(0)
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l.SetBorderSize(0)
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l.Draw()
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t = ROOT.TLatex()
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t.SetNDC()
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t.SetTextAlign(12)
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t.SetTextSize(0.04)
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t.DrawLatex(0.13,0.85,"CMS Preliminary")
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t.SetTextSize(0.03)
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t.DrawLatex(0.13,0.79,"#sqrt{s} = %s, L = %s fb^{-1}"%(anaTag,(float(lumi_data)/1000.)))
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unten.cd()
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ROOT.gPad.SetTicks(1,1)
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ratio, error, ksScore, chiScore = getRatio(d1,allMC,xMin[v],xMax[v])
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ksScore = allMC.KolmogorovTest( d1 )
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chiScore = allMC.Chi2Test( d1 , "UWCHI2/NDF")
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print ksScore
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print chiScore
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ratio.SetStats(0)
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ratio.GetYaxis().SetRangeUser(0,2)
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ratio.GetYaxis().SetNdivisions(502,0)
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ratio.GetXaxis().SetTitle(xAxis[v])
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ratio.Draw("E1")
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ratio.SetTitle("")
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m_one_line = ROOT.TLine(xMin[v],1,xMax[v],1)
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m_one_line.SetLineStyle(7)
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m_one_line.SetLineColor(4)
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m_one_line.Draw("Same")
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t = ROOT.TLatex()
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t.SetNDC()
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t.SetTextAlign(12)
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t.SetTextSize(0.07)
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t.DrawLatex(0.12,0.9,"K_{s}: %.2f"%(ksScore))
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t.DrawLatex(0.12,0.4,"#chi_{#nu}^{2}: %.2f"%(chiScore))
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name = '%s/%s' %(config.get('Directories','plotpath'),options[v][6])
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c.Print(name)
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os.system('rm %s/tmp_plotCache_%s*'%(config.get('Directories','plotpath'),region))
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print 'i am done!\n'
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sys.exit(0)
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