def MergeSamples(hists,options,requireFullyMerged=False) :
#
# Yeah so this adds the samples together that you specify, in a resonable
# order close to the one you specify in the command line "bkgs"
# If you require that the samples are fully merged, this means that N
# inputs is merged into one output (a check we require for data).
#
import math
import ROOT
import PyHelpers
import re
if not options.mergesamples :
return hists
hists_new = []
keys_new = []
hists_index = dict()
for i in hists :
added = False
for j in options.mergesamples.keys() :
# Compare to regexp
if type(options.mergesamples[j]) == type('') :
if not re.match(options.mergesamples[j].replace('%','.*'),i.GetTitle()) :
continue
# Compare to list of samples
if type(options.mergesamples[j]) == type([]) :
match = False
for mergesample in options.mergesamples[j] :
if re.match(mergesample.replace('%','.*'),i.GetTitle()) :
match = True
if not match :
continue
if j in hists_index.keys() :
#print 'adding to existing histo'
hists_new[hists_index[j]].Add(i)
added = True
else :
#print 'starting a new histo'
hists_index[j] = len(hists_new)
hists_new.append(i)
keys_new.append(j)
hists_new[-1].SetTitle(j)
hists_new[-1].SetName(CleanUpName(j))
added = True
if not added :
hists_new.append(i)
keys_new.append(i.GetTitle())
for i in hists_index.keys() :
PyHelpers.PrintNumberOfEvents(hists_new[hists_index[i]])
if requireFullyMerged and len(hists_new) > 1 :
print 'Error! Failed to merge histograms into one histogram! (Usually required for data.) Check your sample merging.'
SafeExit(options.xAODInit)
return hists_new
def main(options, args):
plotfunc.SetupStyle()
files_b, trees_b, keys_b = anaplot.GetTreesFromFiles(
options.bkgs, treename=options.treename)
files_s, trees_s, keys_s = anaplot.GetTreesFromFiles(
options.signal, treename=options.treename)
file_d, tree_d, key_d = anaplot.GetChainFromFiles(
options.data, treename=options.treename)
scales_b = anaplot.GetScales(files_b, trees_b, keys_b, options)
scales_s = anaplot.GetScales(files_s, trees_s, keys_s, options)
dweight = '' # weight value (and cuts) applied to data
weight = options.weight
if ''.join(options.cuts):
weight = (weight + '*(%s)' %
(' && '.join(options.cuts + options.truthcuts))).lstrip('*')
dweight = '(' + ' && '.join(options.cuts + options.blindcut) + ')'
cans = []
v1 = 'HGamEventInfoAuxDyn.m_yy/1000'
v2 = 'HGamEventInfoAuxDyn.catCoup_Moriond2017BDT'
bkg_hists = []
sig_hists = []
data_hist = None
if options.data:
data_hist = anaplot.Get2dVariableHistsFromTrees(
tree_d, key_d, v1, v2, dweight, options)[0]
data_hist.SetLineWidth(2)
data_hist.SetLineColor(1)
data_hist.SetMarkerColor(1)
if options.bkgs:
bkg_hists = anaplot.Get2dVariableHistsFromTrees(trees_b,
keys_b,
v1,
v2,
weight,
options,
scales=scales_b)
bkg_hists, keys_b = anaplot.MergeSamples(bkg_hists, options)
anaplot.PrepareBkgHistosForStack(bkg_hists, options)
if options.signal:
sig_hists = anaplot.Get2dVariableHistsFromTrees(trees_s,
keys_s,
v1,
v2,
weight,
options,
scales=scales_s)
sig_hists, keys_s = anaplot.MergeSamples(sig_hists, options)
sig_hists[-1].SetLineColor(2)
sig_hists[-1].SetMarkerColor(2)
# get the histograms from the files
for c in range(len(CouplingsHelpers.categories)):
#if not categories[c] : continue
lo_bin = c + 1
hi_bin = c + 1
if c == 0: # inclusive case.
lo_bin = 0
hi_bin = 10000 # just to be safe, 10k categories
# MERGE VH DILEP CATEGORIES (23 and 24 --> 23):
if CouplingsHelpers.categories[c] == 'M17_VHdilep_LOW':
hi_bin = hi_bin + 1
# MERGE VH MET HIGH and BSM CATEGORIES (19 and 20 --> 19):
if CouplingsHelpers.categories[c] == 'M17_VHMET_HIGH':
hi_bin = hi_bin + 1
name = 'c%d_%s' % (c, CouplingsHelpers.categories[c])
bkg_projs = []
sig_projs = []
data_proj = None
if options.data:
data_proj = data_hist.ProjectionX('%s_data' % (name), lo_bin,
hi_bin)
PyHelpers.PrintNumberOfEvents(data_proj)
if options.bkgs:
for i, b in enumerate(bkg_hists):
bkg_projs.append(
b.ProjectionX('%s_%s' % (name, keys_b[i]), lo_bin, hi_bin))
PyHelpers.PrintNumberOfEvents(bkg_projs[-1])
if options.signal:
for i, s in enumerate(sig_hists):
sig_projs.append(
s.ProjectionX('%s_%s' % (name, keys_s[i]), lo_bin, hi_bin))
PyHelpers.PrintNumberOfEvents(sig_projs[-1])
cans.append(
anaplot.DrawHistos(v1,
options,
bkg_projs,
sig_projs,
data_proj,
name=name))
cans[-1].SetName(anaplot.CleanUpName(name))
anaplot.UpdateCanvases(options, cans)
if not options.batch:
raw_input('Press enter to exit')
anaplot.doSaving(options, cans)
# Do this afterwards, to make sure the outdir exists.
f = ROOT.TFile('%s/couplings.root' % (options.outdir), 'RECREATE')
for can in cans:
for i in can.GetListOfPrimitives():
if i.GetName()[-6:] == '_error':
continue
if 'stack' in i.GetName():
if not issubclass(type(i), ROOT.THStack):
continue
for j in range(i.GetNhists()):
print 'writing from stack:', i.GetHists()[j].GetName()
i.GetHists()[j].Write()
if issubclass(type(i), ROOT.TH1):
print 'writing:', i.GetName()
i.Write()
f.Close()
print 'done.'
return
def Get2dVariableHistsFromTrees(trees,keys,variable1,variable2,weight,options,scales=0,inputname='',files=None) :
import ROOT
from array import array
import PlotFunctions as plotfunc
import math
import PyHelpers
if not options.macro :
if not options.limits.get(variable1,None) or not options.limits.get(variable2,None) :
print 'Error - you need to specify limits for both %s and %s.'%(variable1,variable2)
print '(Note you probably have to add these variables to the list of variables as well.)'
SafeExit(options.xAODInit)
n1,low1,high1 = options.limits.get(variable1)
n2,low2,high2 = options.limits.get(variable2)
if not inputname :
inputname = '%s_%s'%(variable1,variable2)
hists = []
for k in keys :
k_clean = CleanUpName(k,originalIsDirectoryName=True)
name = CleanUpName('%s_%s'%(inputname,k_clean))
if issubclass(type(ROOT.gDirectory.Get(name)),ROOT.TH1) :
print 'Using existing histogram, %s'%(name)
# will load the histogram later...
elif options.macro :
RunMacro(options.macro,files[k],CleanUpName(k))
# if Draw did not work, then exit.
if not issubclass(type(ROOT.gDirectory.Get(name)),ROOT.TH1) :
print 'ERROR Macro failed trying to create %s Exiting.'%(name)
SafeExit(options.xAODInit)
else :
arg1 = '%s:%s>>%s(%s,%s,%s,%s,%s,%s)'%(variable2,variable1,name,
n1,low1,high1,n2,low2,high2)
arg2 = weight
arg3 = 'egoff'
print 'tree.Draw(\'%s\',\'%s\',\'%s\')'%(arg1,arg2,arg3)
tmp = ROOT.gErrorIgnoreLevel
ROOT.gErrorIgnoreLevel = ROOT.kFatal
trees[k].Draw(arg1,arg2,arg3)
ROOT.gErrorIgnoreLevel = tmp
# if Draw did not work, then exit.
if not issubclass(type(ROOT.gDirectory.Get(name)),ROOT.TH1) :
print 'ERROR TTree::Draw failed trying to draw %s Exiting.'%(name)
SafeExit(options.xAODInit)
hists.append(ROOT.gDirectory.Get(name))
hists[-1].SetDirectory(0)
hists[-1].SetTitle(k)
if scales and (scales[k] != 1) :
hists[-1].Scale(scales[k])
# print the yield and error after cuts (includes overflow)
PyHelpers.PrintNumberOfEvents(hists[-1])
if options.normalize :
try :
hists[-1].Scale(1/float(hists[-1].Integral()))
except ZeroDivisionError :
pass
return hists
def GetVariableHistsFromTrees(trees,keys,variable,weight,options=None,scales=0,inputname='',files=None) :
import ROOT
from array import array
import PlotFunctions as plotfunc
import TAxisFunctions as taxisfunc
import math
import PyHelpers
# Parse options
n,low,high = -1,-1,-1
if hasattr(options,'limits') :
n,low,high = options.limits.get(variable,[-1,-1,-1])
rebin = options.rebin.get(variable,[]) if hasattr(options,'rebin') else []
showflows = hasattr(options,'showflows') and options.showflows
if not inputname :
inputname = variable
hists = []
for k in keys :
k_clean = CleanUpName(k,originalIsDirectoryName=True)
name = CleanUpName('%s_%s'%(inputname,k_clean))
if issubclass(type(ROOT.gDirectory.Get(name)),ROOT.TH1) :
print 'Using existing histogram, %s'%(name)
# will load the histogram later...
elif options.macro :
RunMacro(options.macro,files[k],CleanUpName(k))
# if Draw did not work, then exit.
if not issubclass(type(ROOT.gDirectory.Get(name)),ROOT.TH1) :
print 'ERROR Macro failed trying to create %s Exiting.'%(name)
SafeExit(options.xAODInit)
else :
if rebin and type(rebin) == type([]) :
name = name+'_unrebinned'
bins = '(%s,%s,%s)'%(n,low,high)
if (n <= 0) :
bins = ''
arg1,arg2,arg3 = '%s>>%s%s'%(variable,name,bins),weight,'egoff'
# Reset the default binning to 100, if "n" is not specified.
ROOT.gEnv.SetValue('Hist.Binning.1D.x','100')
print 'tree.Draw(\'%s\',\'%s\',\'%s\')'%(arg1,arg2,arg3)
tmp = ROOT.gErrorIgnoreLevel
ROOT.gErrorIgnoreLevel = ROOT.kFatal
trees[k].Draw(arg1,arg2,arg3)
ROOT.gErrorIgnoreLevel = tmp
# if Draw did not work, then exit.
if not issubclass(type(ROOT.gDirectory.Get(name)),ROOT.TH1) :
print 'ERROR TTree::Draw failed trying to draw %s Exiting.'%(name)
SafeExit(options.xAODInit)
if rebin and type(rebin) == type([]) :
tmp = ROOT.gDirectory.Get(name)
name = name.replace('_unrebinned','')
tmp.Rebin(len(rebin)-1,name,array('d',rebin))
hists.append(ROOT.gDirectory.Get(name))
hists[-1].SetDirectory(0)
if rebin and type(rebin) == type(1) :
hists[-1].Rebin(rebin)
if (n <= 0) :
print 'Changing limits to match those from the first plot.'
n = hists[-1].GetNbinsX()
low = hists[-1].GetBinLowEdge(1)
high = hists[-1].GetBinLowEdge(n+1)
if hasattr(options,'limits') :
options.limits[variable] = [n,low,high]
if showflows :
taxisfunc.PutOverflowIntoLastBin(hists[-1])
taxisfunc.PutUnderflowIntoFirstBin(hists[-1])
#RebinSmoothlyFallingFunction(hists[-1])
hists[-1].SetTitle(k)
if scales and (scales[k] != 1) :
hists[-1].Scale(scales[k])
# print the yield and error after cuts (includes overflow)
PyHelpers.PrintNumberOfEvents(hists[-1])
return hists
