def print_categories(var, categories = [], select=''):
for cat in categories:
heppi.variables.update(
{
"_entries_":{
"hist" : "(3,0,3)",
"cut" : "",
"blind": "",
"log" : True,
"norm" : False,
"title": "entries"
}
}
)
cutflow = heppi.variable_cutflow('_entries_','')
if len(cutflow)!=0:
cutflow = heppi.variable_cutflow('_entries_',select)
# === define the stack
hbkg_sel = ROOT.TH1F('hbkg_sel','',3,0,3)
hsig_sel = ROOT.TH1F('hsig_sel','',3,0,3)
hspc_sel = ROOT.TH1F('hspc_sel','',3,0,3)
hbkg_all = ROOT.TH1F('hbkg_all','',3,0,3)
hsig_all = ROOT.TH1F('hsig_all','',3,0,3)
hspc_all = ROOT.TH1F('hspc_all','',3,0,3)
# === cutflow
logger.info('\hline')
logger.info('category( %i ) &%12.3f &&\\' % (categories.index(cat),cat))
logger.info('\hline')
logger.info('%12s &%12s &%12s &%12s \\' % ('process', 'total event', 'selection', 'efficiency'))
ordsam = OrderedDict(sorted(heppi.samples.items(), key=lambda x: x[1]['order']))
for proc in ordsam:
tree = heppi.samples[proc].get('_root_tree_')
cutflow_sel = ''
cutflow_all = ''
if len(cutflow)!=0 :
cutflow_sel = 'weight*(' + cutflow + ('&& %s > %f' % (var, cat)) +')'
cutflow_all = 'weight*(' + cutflow + ')'
else:
cutflow_sel = 'weight*(' + ('%s > %f' % (var, cat)) +')'
cutflow_all = 'weight'
if 'Data' != proc:
cutflow_all = cutflow_all.replace('weight','weight*%f' % (heppi.treeinfo.get('kfactor',1.0)))
cutflow_sel = cutflow_sel.replace('weight','weight*%f' % (heppi.treeinfo.get('kfactor',1.0)))
else:
cutflow_all = cutflow_all.replace('weight*','')
cutflow_sel = cutflow_sel.replace('weight*','')
tree.Project(
'h_sel_entries_' + proc + heppi.variables['_entries_']['hist'],
'1',
cutflow_sel
)
tree.Project(
'h_all_entries_' + proc + heppi.variables['_entries_']['hist'],
'1',
cutflow_all
)
h_sel = ROOT.gDirectory.Get('h_sel_entries_'+proc)
h_all = ROOT.gDirectory.Get('h_all_entries_'+proc)
logger.info('%12s &%12.3f &%12.3f &%12.3f \\' % (proc,h_all.Integral(),
h_sel.Integral(),
100*float(h_sel.Integral())/float(h_all.Integral())))
if heppi.samples[proc]['label']== 'background':
hbkg_sel.Add(h_sel)
hbkg_all.Add(h_all)
if heppi.samples[proc]['label']== 'signal':
hsig_sel.Add(h_sel)
hsig_all.Add(h_all)
if heppi.samples[proc]['label']== 'spectator':
hspc_sel.Add(h_sel)
hspc_all.Add(h_all)
# -------------------------------------------------------------------
logger.info('\hline')
logger.info('%12s &%12.3f &%12.3f &%12.3f \\' % ('BKG ',
hbkg_all.Integral(),
hbkg_sel.Integral(),
100*float(hbkg_sel.Integral())/float(hbkg_all.Integral())))
logger.info('%12s &%12.3f &%12.3f &%12.3f \\' % ('SIG',
hsig_all.Integral(),
hsig_sel.Integral(),
100*float(hsig_sel.Integral())/float(hsig_all.Integral())))
logger.info('\hline')
logger.info('S/\sqrt(S+B) = %12.3f' % (
float(hsig_sel.Integral())/math.sqrt(hsig_sel.Integral()+hbkg_sel.Integral()) ))
logger.info('\hline')
def draw_ROC(var ='dipho_dijet_MVA',
label='VBF', title = 'variable', axistitle='',
bkg = [], select='', categories=[]):
#c = ROOT.TCanvas("c_ROC","ROC's BDT",600,600)
#c.cd()
histos = []
histfilename = ('plots/histogram_stack_' +
var + '_' + label + '_'
+ heppi.selection['name'])
cutflow = heppi.variable_cutflow(var,'')
if len(cutflow)!=0:
cutflow = heppi.variable_cutflow(var,select)
# === define the stack
hbkg = ROOT.TH1F('hbkg','',400,-1,1)
hsig = ROOT.TH1F('hsig','',400,-1,1)
hbkg.SetTitle(";" + heppi.variables[var]['title']+";entries")
hsig.SetTitle(";" + heppi.variables[var]['title']+";entries")
# === cutflow
if len(cutflow)!=0 :
cutflow = 'weight*(' + cutflow + ')'
else:
cutflow = 'weight'
# === loop over the samples
ordsam = OrderedDict(sorted(heppi.samples.items(), key=lambda x: x[1]['order']))
for proc in ordsam:
tree = heppi.samples[proc].get('_root_tree_')#roof.Get(treename.replace('*',proc))
histstr = '(%i,%f,%f)' %(int(400),-1, 1)
if proc == 'Data':
cutflow = cutflow.replace('weight*','').replace('weight','')
tree.Project(
'h_'+var + histstr,
var,
cutflow
)
if heppi.samples[proc]['label']!= 'Signal' and proc in bkg:
print '--> have ', proc
hbkg.Add(ROOT.gDirectory.Get('h_'+var))
if heppi.samples[proc]['label']== 'signal':
hsig.Add(ROOT.gDirectory.Get('h_'+var))
hbkg.SetFillColorAlpha(122,0.6)
hbkg.SetLineColor(1)
hsig.SetLineColor(132)
hsig.SetLineWidth(3)
hbkg.GetYaxis().SetRangeUser(0,hbkg.GetMaximum() + hbkg.GetMaximum() * 0.5)
roc = ROOT.TGraph()
roc.SetName ('fom_cat_'+label)
roc.SetTitle( axistitle )
catcut = []
point = []
cutpt = []
roc.SetPoint (0,1,1)
for ibin in range(0, hsig.GetNbinsX()+1):
#print hbkg.Integral()
beff = hbkg.Integral(ibin,hsig.GetNbinsX())/hbkg.Integral()
seff = hsig.Integral(ibin,hsig.GetNbinsX())/hsig.Integral()
#print beff, ' ', seff
for cat in categories:
if abs(hsig.GetBinCenter(int(ibin))-cat) < 0.005 :
print 'diff :: val(', hsig.GetBinCenter(ibin),') ',abs(hsig.GetBinCenter(int(ibin))-cat)
p = ROOT.TEllipse(beff,seff,0.013,0.013)
p.SetFillColor(2)
p.SetLineWidth(0)
p.SetLineColor(2)
point.append(p)
roc.SetPoint (ibin+1,beff,seff)
roc.SetPoint (hsig.GetNbinsX()+2,0,0)
#roc.GetYaxis().SetLabelSize(25)
roc.GetYaxis().SetTitleSize(25)
roc.GetXaxis().SetTitleSize(25)
roc.GetYaxis().SetTitleOffset (1)
roc.GetXaxis().SetTitleOffset (1)
roc.SetLineColor(129)
roc.SetLineWidth(3)
#roc.Draw('AL')
roc.GetYaxis().SetRangeUser(0,1)
roc.GetXaxis().SetRangeUser(0,1)
#roc.Draw('AL')
#c.Update()
#
#draw_labels("Integral = %1.3f" % (roc.Integral()+0.5),"bl",0.035)
#for p in point[:-1]:
# p.Draw()
##raw_input()
#c.SaveAs('plots/rocky_' + label + '.pdf')
#c.SaveAs('plots/rocky_' + label + '.png')
return roc
