plotter.add_datasets(samples)
plotter._overlayList.extend(['DATA_MUON'])
#plotter._overlayList.extend(['FCNH'])
#plotter.get_scale_factors(['FCNH'])
plotter.get_scale_factors()
### VARIABLES ###
### First specify the directories in which your
### histograms are stored. If directories are
### not used enter '' as the only entry. Then
### list all of the variable names you wish to
### plot while giving a key value which is the
### directory that they are located in as a key.
plotter._directoryList1D = ['Misc', 'Lepton', 'Dilepton', 'DileptonOS', 'MET', 'Jet', 'GEN']
plotter._directoryList2D = ['2D']
plotter._variableDict['Misc'] = ['PvMult', 'YieldByCut', 'EventWeight', 'TriggerStatus']
plotter._variableDict['Lepton'] = ['LeptonCharge', 'LeptonFlavor',
'Lepton1Pt', 'Lepton2Pt','Lepton3Pt',
'Lepton1Eta', 'Lepton2Eta', 'Lepton3Eta',
'Lepton1 dxy', 'Lepton1 dz',
'Lepton2 dxy', 'Lepton2 dz',
'Lepton3 dxy', 'Lepton3 dz',
'TrileptonMass', 'LeptonMult', '4lMass']
#'Lepton1Phi', 'Lepton2Phi', 'Lepton3Phi']
plotter._variableDict['Dilepton'] = ['DileptonMass21', 'DileptonTransMass21', 'DileptonQt21',
'DileptonDeltaPhi21', 'DileptonDeltaEta21', 'DileptonDeltaR21', 'DileptonDeltaPt21',
r.gROOT.SetBatch()
### Initialize plot producer ###
plotter = PlotProducer(inputFile = 'fakeEstimator/histos/{0}.root'.format(batch), savePath = '', scale = LUMIDATA, isAFS = False)
plotter.set_period(period)
plotter.set_output_type(plotType)
plotter.set_save_path('plots/{0}/{1}_{2}_{3}/log'.format(currentDate, selection, batch, suffix))
### DATASETS ###
plotter.add_datasets(samples['inclusive'])
plotter._overlayList.extend(['DATA'])
plotter.get_scale_factors(corrected = False)
plotter._directoryList1D = ['Muon', 'Electron']
plotter._variableDict['Muon'] = ['MuPassLepPt', 'MuPassLepEta', 'MuPassTransverseMass',
'MuProbeLepPt', 'MuProbeLepEta', 'MuProbeTransverseMass',
'MuNumerPt', 'MuNumerEta', 'MuNumerMet', 'MuNumerIsoRel',
'MuDenomPt', 'MuDenomEta', 'MuDenomMet', 'MuDenomIsoRel',
'MuNumerPtLowJet', 'MuNumerPtHighJet',
'MuDenomPtLowJet', 'MuDenomPtHighJet',
'MuDenomIsoRelBin1', 'MuDenomIsoRelBin2',
'MuFailLepPt', 'MuFailLepEta', 'MuFailTransverseMass',
'MuTagLepPt', 'MuTagLepEta', 'MuTagIsoRel', 'MuTagDz', 'MuTagDxy',
'TagMuPassMass', 'TagMuPassDeltaR',
'TagMuProbeMass', 'TagMuProbeDeltaR',
'TagMuProbeDeltaPhi', 'TagMuProbePtBalance',
'TagMuFailMass', 'TagMuFailDeltaR',
'MuJetMult_tight', 'MuJetMult_inclusive', 'MuJetMult_fail']
plotter._overlayList.extend(['DATA'])
plotter._overlayList.extend(['FCNH', 'FCNHUp'])
#plotter.get_scale_factors()
plotter.get_scale_factors(['FCNH', 'FCNHUp'])
### VARIABLES ###
### First specify the directories in which your
### histograms are stored. If directories are
### not used enter '' as the only entry. Then
### list all of the variable names you wish to
### plot while giving a key value which is the
### directory that they are located in as a key.
#plotter._directoryList1D = ['Electron']
plotter._directoryList1D = ['Misc', 'Electron', 'Lepton', 'Lep+Jet', 'Dilepton', 'DileptonOS', 'Trilepton', 'MET', 'Jet', 'GEN', '4l']
#plotter._directoryList1D = ['Lepton', 'Lep+Jet', 'Dilepton', 'DileptonOS', 'Trilepton', 'MET', 'Jet', 'GEN', '4l']
plotter._directoryList2D = ['2D']
plotter._variableDict['Misc'] = ['PvMult', 'YieldByCut', 'YieldByCutRaw', 'EventWeight', 'TriggerStatus', 'BDT']
plotter._variableDict['Electron'] = [
'ElectronPt', 'ElectronEta',
'LeadElectronEta', 'TrailingElectronEta',
'ElectronDxy', 'ElectronDz',
'ElectronIsoRel', 'ElectronIso',
'LeadElectronPtBB', 'LeadElectronPtBE', 'LeadElectronPtBT',
'LeadElectronPtTB', 'LeadElectronPtTE', 'LeadElectronPtTT',
'LeadElectronPtEB', 'LeadElectronPtEE', 'LeadElectronPtET',
'TrailingElectronPtBB', 'TrailingElectronPtBE', 'TrailingElectronPtBT',
'TrailingElectronPtTB', 'TrailingElectronPtTE', 'TrailingElectronPtTT',
### DATASETS ###
### Specify the datasets you wish to stack
### and overlay accordingly.
plotter.add_datasets(samples['all'])
plotter.get_scale_factors()
### VARIABLES ###
### First specify the directories in which your
### histograms are stored. If directories are
### not used enter '' as the only entry. Then
### list all of the variable names you wish to
### plot while giving a key value which is the
### directory that they are located in as a key.
plotter._directoryList1D = ['Misc', 'Lepton', 'Lep+Jet', 'Dilepton', 'DileptonOS', 'Trilepton', 'MET', 'Jet', 'Fakes']
plotter._variableDict['Misc'] = ['PvMult', 'YieldByCut', 'YieldByCutRaw', 'EventWeight', 'TriggerStatus',
'FakeWeightUncertainty', 'BDT', 'FakeCategory']
plotter._variableDict['Lepton'] = ['LeptonCharge', 'LeptonFlavor',
'Lepton1Pt', 'Lepton2Pt','Lepton3Pt',
'Lepton1Eta', 'Lepton2Eta', 'Lepton3Eta',
'ElectronPt', 'ElectronEta',
'MuonPt', 'MuonEta',
'Lepton1dxy', 'Lepton1dz',
'Lepton2dxy', 'Lepton2dz',
'Lepton3dxy', 'Lepton3dz',
'LeptonMult', 'fakeableOverlapMult'
'OverlapEleMu', 'MuEleDeltaR']
#'Lepton1Phi', 'Lepton2Phi', 'Lepton3Phi']
### and overlay accordingly.
plotter.add_datasets(samples)
plotter._overlayList.extend(['DATA_MUON'])
plotter.get_scale_factors()
### VARIABLES ###
### First specify the directories in which your
### histograms are stored. If directories are
### not used enter '' as the only entry. Then
### list all of the variable names you wish to
### plot while giving a key value which is the
### directory that they are located in as a key.
plotter._directoryList1D = ['fakes']
#plotter._directoryList2D = ['2D_Dilepton']
#plotter._variableDict['fakes'] = ['leptonMult', 'jetMult', 'bJetMult']
plotter._variableDict['fakes'] = ['DileptonMass']
###################
### MAKE PLOTS! ###
###################
r.gROOT.SetStyle('Plain')
r.gStyle.SetOptStat(0)
plotter.set_input_file('histos/fakeHistograms.root')
plotter.set_save_path('../plots/fakes/' + currentDate)
