| 1 |
#!/usr/bin/env python
|
| 2 |
from samplesclass import sample
|
| 3 |
from printcolor import printc
|
| 4 |
import pickle
|
| 5 |
import ROOT
|
| 6 |
from ROOT import TFile, TTree
|
| 7 |
import ROOT
|
| 8 |
from array import array
|
| 9 |
from BetterConfigParser import BetterConfigParser
|
| 10 |
import sys, os
|
| 11 |
from mvainfos import mvainfo
|
| 12 |
#from gethistofromtree import getHistoFromTree, orderandadd
|
| 13 |
from Ratio import getRatio
|
| 14 |
from optparse import OptionParser
|
| 15 |
from HistoMaker import HistoMaker, orderandadd
|
| 16 |
import TdrStyles
|
| 17 |
from copy import deepcopy
|
| 18 |
|
| 19 |
#CONFIGURE
|
| 20 |
argv = sys.argv
|
| 21 |
parser = OptionParser()
|
| 22 |
parser.add_option("-P", "--path", dest="path", default="",
|
| 23 |
help="path to samples")
|
| 24 |
parser.add_option("-R", "--reg", dest="region", default="",
|
| 25 |
help="region to plot")
|
| 26 |
parser.add_option("-C", "--config", dest="config", default=[], action="append",
|
| 27 |
help="configuration file")
|
| 28 |
(opts, args) = parser.parse_args(argv)
|
| 29 |
if opts.config =="":
|
| 30 |
opts.config = "config"
|
| 31 |
print opts.config
|
| 32 |
config = BetterConfigParser()
|
| 33 |
config.read(opts.config)
|
| 34 |
anaTag = config.get("Analysis","tag")
|
| 35 |
|
| 36 |
|
| 37 |
path = opts.path
|
| 38 |
region = opts.region
|
| 39 |
|
| 40 |
plotConfig = BetterConfigParser()
|
| 41 |
plotConfig.read('vhbbPlotDef.ini')
|
| 42 |
|
| 43 |
#get locations:
|
| 44 |
Wdir=config.get('Directories','Wdir')
|
| 45 |
|
| 46 |
section='Plot:%s'%region
|
| 47 |
|
| 48 |
Normalize = eval(config.get(section,'Normalize'))
|
| 49 |
log = eval(config.get(section,'log'))
|
| 50 |
blind = eval(config.get(section,'blind'))
|
| 51 |
|
| 52 |
infofile = open(path+'/samples.info','r')
|
| 53 |
info = pickle.load(infofile)
|
| 54 |
infofile.close()
|
| 55 |
|
| 56 |
#options = plot.split(',')
|
| 57 |
|
| 58 |
mass = config.get(section,'Signal')
|
| 59 |
|
| 60 |
vars = (config.get(section, 'vars')).split(',')
|
| 61 |
|
| 62 |
names = [plotConfig.get('plotDef:%s'%x,'relPath') for x in vars]
|
| 63 |
nBins = [eval(plotConfig.get('plotDef:%s'%x,'nBins')) for x in vars]
|
| 64 |
xMin = [eval(plotConfig.get('plotDef:%s'%x,'min')) for x in vars]
|
| 65 |
xMax = [eval(plotConfig.get('plotDef:%s'%x,'max')) for x in vars]
|
| 66 |
xAxis = [plotConfig.get('plotDef:%s'%x,'xAxis') for x in vars]
|
| 67 |
|
| 68 |
for p in range(0,len(names)):
|
| 69 |
if '<mass>' in names[p]:
|
| 70 |
newp= names[p].replace('<mass>',mass)
|
| 71 |
names[p]=newp
|
| 72 |
print names[p]
|
| 73 |
|
| 74 |
if 'ZLight' in region or 'TTbar' in region or 'Zbb' in region: SignalRegion = False
|
| 75 |
else:
|
| 76 |
SignalRegion = True
|
| 77 |
print 'You are in the Signal Region!'
|
| 78 |
|
| 79 |
data = config.get(section,'Datas')
|
| 80 |
if config.has_option(section, 'Datacut'):
|
| 81 |
datacut=config.get(section, 'Datacut')
|
| 82 |
else:
|
| 83 |
datacut = region
|
| 84 |
|
| 85 |
options=[]
|
| 86 |
|
| 87 |
if blind: blindopt='blind'
|
| 88 |
else: blindopt = 'noblind'
|
| 89 |
|
| 90 |
for i in range(0,len(vars)):
|
| 91 |
options.append([names[i],'',xAxis[i],nBins[i],xMin[i],xMax[i],'%s_%s.pdf'%(region,vars[i]),region,datacut,mass,data,blindopt])
|
| 92 |
|
| 93 |
|
| 94 |
setup=config.get('Plot_general','setup')
|
| 95 |
if log:
|
| 96 |
setup=config.get('Plot_general','setupLog')
|
| 97 |
setup=setup.split(',')
|
| 98 |
|
| 99 |
samples=config.get('Plot_general','samples')
|
| 100 |
samples=samples.split(',')
|
| 101 |
|
| 102 |
colorDict=eval(config.get('Plot_general','colorDict'))
|
| 103 |
typLegendDict=eval(config.get('Plot_general','typLegendDict'))
|
| 104 |
#color=color.split(',')
|
| 105 |
|
| 106 |
|
| 107 |
weightF=config.get('Weights','weightF')
|
| 108 |
Group = eval(config.get('Plot_general','Group'))
|
| 109 |
|
| 110 |
|
| 111 |
#GETALL AT ONCE
|
| 112 |
|
| 113 |
Plotter=HistoMaker(path,config,region,options)
|
| 114 |
|
| 115 |
#print '\nProducing Plot of %s\n'%vars[v]
|
| 116 |
Lhistos = [[] for _ in range(0,len(vars))]
|
| 117 |
Ltyps = [[] for _ in range(0,len(vars))]
|
| 118 |
Ldatas = [[] for _ in range(0,len(vars))]
|
| 119 |
Ldatatyps = [[] for _ in range(0,len(vars))]
|
| 120 |
Ldatanames = [[] for _ in range(0,len(vars))]
|
| 121 |
|
| 122 |
def myText(txt="CMS Preliminary",ndcX=0,ndcY=0,size=0.8):
|
| 123 |
ROOT.gPad.Update()
|
| 124 |
text = ROOT.TLatex()
|
| 125 |
text.SetNDC()
|
| 126 |
text.SetTextColor(ROOT.kBlack)
|
| 127 |
text.SetTextSize(text.GetTextSize()*size)
|
| 128 |
text.DrawLatex(ndcX,ndcY,txt)
|
| 129 |
return text
|
| 130 |
|
| 131 |
|
| 132 |
#Find out Lumi:
|
| 133 |
lumicounter=0.
|
| 134 |
lumi=0.
|
| 135 |
for job in info:
|
| 136 |
if job.name in data:
|
| 137 |
lumi+=float(job.lumi)
|
| 138 |
lumicounter+=1.
|
| 139 |
|
| 140 |
if lumicounter > 0:
|
| 141 |
lumi=lumi/lumicounter
|
| 142 |
|
| 143 |
Plotter.lumi=lumi
|
| 144 |
|
| 145 |
for job in info:
|
| 146 |
if eval(job.active):
|
| 147 |
if job.subsamples:
|
| 148 |
for subsample in range(0,len(job.subnames)):
|
| 149 |
|
| 150 |
if job.subnames[subsample] in samples:
|
| 151 |
hTempList, typList = Plotter.getHistoFromTree(job,subsample)
|
| 152 |
for v in range(0,len(vars)):
|
| 153 |
Lhistos[v].append(hTempList[v])
|
| 154 |
Ltyps[v].append(Group[job.subnames[subsample]])
|
| 155 |
print job.subnames[subsample]
|
| 156 |
|
| 157 |
else:
|
| 158 |
if job.name in samples:
|
| 159 |
if job.name == mass:
|
| 160 |
print job.name
|
| 161 |
hTempList, typList = Plotter.getHistoFromTree(job)
|
| 162 |
for v in range(0,len(vars)):
|
| 163 |
if SignalRegion:
|
| 164 |
Lhistos[v].append(hTempList[v])
|
| 165 |
Ltyps[v].append(Group[job.name])
|
| 166 |
Overlaylist= deepcopy(hTempList)
|
| 167 |
|
| 168 |
else:
|
| 169 |
print job.name
|
| 170 |
hTempList, typList = Plotter.getHistoFromTree(job)
|
| 171 |
for v in range(0,len(vars)):
|
| 172 |
Lhistos[v].append(hTempList[v])
|
| 173 |
Ltyps[v].append(Group[job.name])
|
| 174 |
|
| 175 |
elif job.name in data:
|
| 176 |
#print 'DATA'
|
| 177 |
hTemp, typ = Plotter.getHistoFromTree(job)
|
| 178 |
for v in range(0,len(vars)):
|
| 179 |
Ldatas[v].append(hTemp[v])
|
| 180 |
Ldatatyps[v].append(typ[v])
|
| 181 |
Ldatanames[v].append(job.name)
|
| 182 |
|
| 183 |
if not SignalRegion: setup.remove('ZH')
|
| 184 |
|
| 185 |
print setup
|
| 186 |
|
| 187 |
for v in range(0,len(vars)):
|
| 188 |
|
| 189 |
histos = Lhistos[v]
|
| 190 |
typs = Ltyps[v]
|
| 191 |
datas = Ldatas[v]
|
| 192 |
datatyps = Ldatatyps[v]
|
| 193 |
datanames= Ldatanames[v]
|
| 194 |
|
| 195 |
Overlay = Overlaylist[v]
|
| 196 |
|
| 197 |
TdrStyles.tdrStyle()
|
| 198 |
|
| 199 |
c = ROOT.TCanvas(vars[v],'', 600, 600)
|
| 200 |
c.SetFillStyle(4000)
|
| 201 |
c.SetFrameFillStyle(1000)
|
| 202 |
c.SetFrameFillColor(0)
|
| 203 |
|
| 204 |
oben = ROOT.TPad('oben','oben',0,0.3 ,1.0,1.0)
|
| 205 |
oben.SetBottomMargin(0)
|
| 206 |
oben.SetFillStyle(4000)
|
| 207 |
oben.SetFrameFillStyle(1000)
|
| 208 |
oben.SetFrameFillColor(0)
|
| 209 |
unten = ROOT.TPad('unten','unten',0,0.0,1.0,0.3)
|
| 210 |
unten.SetTopMargin(0.)
|
| 211 |
unten.SetBottomMargin(0.35)
|
| 212 |
unten.SetFillStyle(4000)
|
| 213 |
unten.SetFrameFillStyle(1000)
|
| 214 |
unten.SetFrameFillColor(0)
|
| 215 |
|
| 216 |
oben.Draw()
|
| 217 |
unten.Draw()
|
| 218 |
|
| 219 |
oben.cd()
|
| 220 |
|
| 221 |
|
| 222 |
|
| 223 |
allStack = ROOT.THStack(vars[v],'')
|
| 224 |
l = ROOT.TLegend(0.63, 0.60,0.92,0.92)
|
| 225 |
l.SetLineWidth(2)
|
| 226 |
l.SetBorderSize(0)
|
| 227 |
l.SetFillColor(0)
|
| 228 |
l.SetFillStyle(4000)
|
| 229 |
l.SetTextFont(62)
|
| 230 |
l.SetTextSize(0.035)
|
| 231 |
MC_integral=0
|
| 232 |
MC_entries=0
|
| 233 |
|
| 234 |
for histo in histos:
|
| 235 |
MC_integral+=histo.Integral()
|
| 236 |
#MC_entries+=histo.GetEntries()
|
| 237 |
print "\033[1;32m\n\tMC integral = %s\033[1;m"%MC_integral
|
| 238 |
|
| 239 |
#ORDER AND ADD TOGETHER
|
| 240 |
#print typs
|
| 241 |
#print setup
|
| 242 |
histos, typs = orderandadd(histos,typs,setup)
|
| 243 |
|
| 244 |
|
| 245 |
k=len(histos)
|
| 246 |
|
| 247 |
for j in range(0,k):
|
| 248 |
#print histos[j].GetBinContent(1)
|
| 249 |
i=k-j-1
|
| 250 |
histos[i].SetFillColor(int(colorDict[setup[i]]))
|
| 251 |
histos[i].SetLineColor(1)
|
| 252 |
allStack.Add(histos[i])
|
| 253 |
|
| 254 |
d1 = ROOT.TH1F('noData','noData',nBins[v],xMin[v],xMax[v])
|
| 255 |
datatitle='Data'
|
| 256 |
addFlag = ''
|
| 257 |
if 'Zee' in datanames and 'Zmm' in datanames:
|
| 258 |
addFlag = 'Z(l^{-}l^{+})H(b#bar{b})'
|
| 259 |
elif 'Zee' in datanames:
|
| 260 |
addFlag = 'Z(e^{-}e^{+})H(b#bar{b})'
|
| 261 |
elif 'Zmm' in datanames:
|
| 262 |
addFlag = 'Z(#mu^{-}#mu^{+})H(b#bar{b})'
|
| 263 |
for i in range(0,len(datas)):
|
| 264 |
d1.Add(datas[i],1)
|
| 265 |
print "\033[1;32m\n\tDATA integral = %s\033[1;m"%d1.Integral()
|
| 266 |
flow = d1.GetEntries()-d1.Integral()
|
| 267 |
if flow > 0:
|
| 268 |
print "\033[1;31m\tU/O flow: %s\033[1;m"%flow
|
| 269 |
|
| 270 |
Overlay.SetLineColor(2)
|
| 271 |
Overlay.SetLineWidth(2)
|
| 272 |
Overlay.SetFillColor(0)
|
| 273 |
Overlay.SetFillStyle(4000)
|
| 274 |
Overlay.SetNameTitle('Overlay','Overlay')
|
| 275 |
|
| 276 |
l.AddEntry(d1,datatitle,'P')
|
| 277 |
for j in range(0,k):
|
| 278 |
l.AddEntry(histos[j],typLegendDict[typs[j]],'F')
|
| 279 |
l.AddEntry(Overlay,typLegendDict['Overlay'],'L')
|
| 280 |
|
| 281 |
if Normalize:
|
| 282 |
if MC_integral != 0: stackscale=d1.Integral()/MC_integral
|
| 283 |
Overlay.Scale(stackscale)
|
| 284 |
stackhists=allStack.GetHists()
|
| 285 |
for blabla in stackhists:
|
| 286 |
if MC_integral != 0: blabla.Scale(stackscale)
|
| 287 |
|
| 288 |
allMC=allStack.GetStack().Last().Clone()
|
| 289 |
|
| 290 |
allStack.SetTitle()
|
| 291 |
allStack.Draw("hist")
|
| 292 |
allStack.GetXaxis().SetTitle('')
|
| 293 |
yTitle = 'Entries'
|
| 294 |
if not '/' in yTitle:
|
| 295 |
yAppend = '%s' %(allStack.GetXaxis().GetBinWidth(1))
|
| 296 |
yTitle = '%s / %s' %(yTitle, yAppend)
|
| 297 |
allStack.GetYaxis().SetTitle(yTitle)
|
| 298 |
allStack.GetXaxis().SetRangeUser(xMin[v],xMax[v])
|
| 299 |
allStack.GetYaxis().SetRangeUser(0,20000)
|
| 300 |
theErrorGraph = ROOT.TGraphErrors(allMC)
|
| 301 |
theErrorGraph.SetFillColor(ROOT.kGray+3)
|
| 302 |
theErrorGraph.SetFillStyle(3013)
|
| 303 |
theErrorGraph.Draw('SAME2')
|
| 304 |
l.AddEntry(theErrorGraph,"MC uncert. (stat.)","fl")
|
| 305 |
Ymax = max(allStack.GetMaximum(),d1.GetMaximum())*1.7
|
| 306 |
if log:
|
| 307 |
allStack.SetMinimum(0.05)
|
| 308 |
Ymax = Ymax*ROOT.TMath.Power(10,1.6*(ROOT.TMath.Log(1.6*(Ymax/0.1))/ROOT.TMath.Log(10)))*(0.6*0.1)
|
| 309 |
ROOT.gPad.SetLogy()
|
| 310 |
allStack.SetMaximum(Ymax)
|
| 311 |
c.Update()
|
| 312 |
ROOT.gPad.SetTicks(1,1)
|
| 313 |
#allStack.Draw("hist")
|
| 314 |
d1.Draw("E,same")
|
| 315 |
l.SetFillColor(0)
|
| 316 |
l.SetBorderSize(0)
|
| 317 |
l.Draw()
|
| 318 |
|
| 319 |
Overlay.Draw('hist,same')
|
| 320 |
|
| 321 |
tPrel = myText("CMS Preliminary",0.17,0.88,1.04)
|
| 322 |
tLumi = myText("#sqrt{s} = %s, L = %s fb^{-1}"%(anaTag,(float(lumi)/1000.)),0.17,0.83)
|
| 323 |
tAddFlag = myText(addFlag,0.17,0.78)
|
| 324 |
|
| 325 |
unten.cd()
|
| 326 |
ROOT.gPad.SetTicks(1,1)
|
| 327 |
|
| 328 |
ratio, error = getRatio(d1,allMC,xMin[v],xMax[v])
|
| 329 |
ksScore = d1.KolmogorovTest( allMC )
|
| 330 |
chiScore = d1.Chi2Test( allMC , "UWCHI2/NDF")
|
| 331 |
print ksScore
|
| 332 |
print chiScore
|
| 333 |
ratio.SetStats(0)
|
| 334 |
ratio.GetXaxis().SetTitle(xAxis[v])
|
| 335 |
ratioError = ROOT.TGraphErrors(error)
|
| 336 |
ratioError.SetFillColor(ROOT.kGray+3)
|
| 337 |
ratioError.SetFillStyle(3013)
|
| 338 |
ratio.Draw("E1")
|
| 339 |
ratioError.Draw('SAME2')
|
| 340 |
ratio.Draw("E1SAME")
|
| 341 |
ratio.SetTitle("")
|
| 342 |
m_one_line = ROOT.TLine(xMin[v],1,xMax[v],1)
|
| 343 |
m_one_line.SetLineStyle(ROOT.kDashed)
|
| 344 |
m_one_line.Draw("Same")
|
| 345 |
|
| 346 |
if not blind:
|
| 347 |
tKsChi = myText("#chi_{#nu}^{2} = %.3f K_{s} = %.3f"%(chiScore,ksScore),0.17,0.9,1.5)
|
| 348 |
t0 = ROOT.TText()
|
| 349 |
t0.SetTextSize(ROOT.gStyle.GetLabelSize()*2.4)
|
| 350 |
t0.SetTextFont(ROOT.gStyle.GetLabelFont())
|
| 351 |
if not log:
|
| 352 |
t0.DrawTextNDC(0.1059,0.96, "0")
|
| 353 |
|
| 354 |
name = '%s/%s' %(config.get('Directories','plotpath'),options[v][6])
|
| 355 |
c.Print(name)
|
| 356 |
|
| 357 |
print 'i am done!\n'
|
| 358 |
|
| 359 |
sys.exit(0)
|
