def makePlots(n, r, s, t):
hrList = []
for sys in sysList:
#All the rest will be within the json file
print t
path = ''
if sys == 'nominal':
path = path_in[0]
else:
path = path_in[1]
if not sys == 'nominal':
#file_ = '%s/Efficiency%s_%s_%s/%s_%sid%s_%s/%s'%(path_in[1],n,r,sys,t.upper(),t,r,sys,s)
file_ = '%s/%s/%s_%s_all/%s' % (path, sysDic[sys], t.upper(),
t, s)
else:
#file_ = '%s/Efficiency%s_%s/%s_%sid%s/%s'%(path_in[0],n,r,t.upper(),t,r,s)
file_ = '%s/EfficiencyRun2017B_F/%s_%s_all/%s' % (
path, t.upper(), t, s)
print 'file_ is', file_
#sys_.exit()
hr = HistoReader('RUN%s_%s%s%s' % (r, n, t, sys))
hr.readfile(file_)
#hr.SetNewRange(20, 120)
hr.setInfo(sys)
hr.CleanBigError(0.01)
hr.setType(t)
hrList.append(hr)
hp = HistoPloter('.')
##Uncomment next line to have only min, max variations
hp.MinMax = True
hp.setRatioRange(0.98,
1.02) #Set the ratio range. Default one is 0.85, 1.15
print 'hrList is', hrList
def makePlots(n, r, s, t):
hrList = []
for sys in sysList:
#All the rest will be within the json file
print t
if sys != 'nominal':
file_ = '%s/Efficiency%s_%s_%s/%s_%sid%s_%s/%s' % (
path_in[1], n, r, sys, t.upper(), t, r, sys, s)
else:
file_ = '%s/Efficiency%s_%s/%s_%sid%s/%s' % (
path_in[0], n, r, t.upper(), t, r, s)
print 'file_ is', file_
hr = HistoReader('RUN%s_%s%s%s' % (r, n, t, sys))
hr.readfile(file_)
hr.SetNewRange(20, 120)
hr.setInfo(sys)
hr.CleanBigError(0.01)
hr.setType(t)
hrList.append(hr)
hp = HistoPloter('.')
##Uncomment next line to have only min, max variations
hp.MinMax = True
hp.setRatioRange(0.98,
1.02) #Set the ratio range. Default one is 0.85, 1.15
hp.PlotEff1D(hrList) #making the 1D plot
def makePlots(n, r, s, t):
hrList = []
for sys in sysList:
#All the rest will be within the json file
print t
file_ = '%s/Efficiency%s_%s_%s/%s_%sid%s_%s/%s' % (
path_in, n, r, sys, t.upper(), t, r, sys, s)
print 'file_ is', file_
hr = HistoReader('%s%s%s' % (n, t, sys))
hr.readfile(file_)
hr.SetNewRange(20, 120)
hr.setInfo(sys)
hr.CleanBigError(0.01)
hr.setType(t)
hrList.append(hr)
hp = HistoPloter('.')
hp.setRatioRange(0.98,
1.02) #Set the ratio range. Default one is 0.85, 1.15
hp.PlotEff1D(hrList) #making the 1D plot
SFoutputJSONname ='RunBCDEF_%s_%s_%s'%('SF',n, r)
jSF = JsonMaker(SFoutputJSONname)
rSF = RootFileMaker(SFoutputJSONname)
for t in Type:
#All the rest will be within the json file
outputJSONname ='RunBCDEF_%s_%s_%s_%s'%('Eff',t,n,r)
MapList = []
j = JsonMaker(outputJSONname)
r_ = RootFileMaker(outputJSONname)
for s in NumDic[n]:
file_ = '/eos/cms/store/group/phys_muon/fernanpe/Efficiencies_LegacyReReco2016_final/Efficiency%s_BCDEF_%s/%s_%sid_BCDEF/%s'%(n,r,t.upper(),t,s)
hr = HistoReader('hr')
hr.readfile(file_)
# hr.SetNewRange(20, 120)
hr.setInfo('dummy')
hr.CleanBigError(0.01)
hr.setType(t)
MapList.append(hr.eff2D)
#For SF
if t == 'mc':
MC_MapList.append(hr.eff2D)
elif t == 'data':
DATA_MapList.append(hr.eff2D)
#For DATA, MC
j.makeJSON(MapList)
r_.makeROOT(MapList)
#For SF
for mcm, datam in zip(MC_MapList,DATA_MapList):
DATA_MapList = []
SFoutputJSONname = 'Run%s_%s_%s' % (r, 'SF', n)
jSF = JsonMaker(SFoutputJSONname)
for t in Type:
#All the rest will be within the json file
outputJSONname = 'Run%s_%s_%s' % (r, t, n)
MapList = []
j = JsonMaker(outputJSONname)
for s in NumDic[n]:
file_ = '/afs/cern.ch/user/f/fernanpe/public/for_Gael/Efficiencies_2017/Efficiency%s_%s/%s_%sid%s/%s' % (
n, r, t.upper(), t, r, s)
hr = HistoReader('hr')
hr.readfile(file_)
hr.SetNewRange(20, 120)
hr.setInfo('dummy')
hr.CleanBigError(0.05)
hr.setType(t)
MapList.append(hr.eff2D)
#For SF
if t == 'mc':
MC_MapList.append(hr.eff2D)
elif t == 'data':
DATA_MapList.append(hr.eff2D)
#For DATA, MC
j.makeJSON(MapList)
#For SF
for mcm, datam in zip(MC_MapList, DATA_MapList):
SF_MapList.append(datam.divideMap(mcm))
eff2D = hr_dataBC.eff2D
eff2D.Print()
eff2D.Print('up')
eff2D.Print('down')
print 'After Changing Range'
print '----------------'
hr_dataBC.SetNewRange(20, 90)
eff2D = hr_dataBC.eff2D
eff2D.Print()
eff2D.Print('up')
eff2D.Print('down')
print 'After removing errors below 1%'
print '----------------'
hr_dataBC.CleanBigError(0.01)
eff2D = hr_dataBC.eff2D
eff2D.Print()
eff2D.Print('up')
eff2D.Print('down')
print 'Other run'
print '----------------'
fileDE = '/afs/cern.ch/user/f/fernanpe/public/for_Gael/Efficiencies_2017/EfficiencyID_DE/DATA_dataidDE/' + Id
hr_dataDE = HistoReader('DataDE')
hr_dataDE.readfile(fileDE)
hr_dataDE.SetNewRange(20, 90)
hr_dataDE.CleanBigError(0.01)
hr_dataDE.setLumi(10)
hr_dataDE.setInfo('DE')
hr_dataDE.setType('data')