def reportCache(self) :
r.gStyle.SetOptStat(0)
fileName = '/'.join(self.outputFileName.split('/')[:-1]+[self.name])
vars = dict([(sample,hists[self.var]) for sample,hists in self.fromCache(self.allSamples, [self.var]).items()])
symmantis = dict([(s,(var,)+self.prep(var,self.funcEven,self.funcOdd)) for s,var in vars.items() if var])
canvas = r.TCanvas()
textlines = []
for j,label in enumerate(['','Symmetric','Antisymmetric']) :
leg = r.TLegend(0.85,0.85,0.98,0.98)
limit_up = max([val[j].GetMaximum() for val in symmantis.values()] )
limit_dn = min([val[j].GetMinimum() for val in symmantis.values()] + [0] )
funcs = []
for i,(sample,val) in enumerate(sorted(symmantis.items())) :
val[j].SetMaximum(limit_up * 1.1)
val[j].SetMinimum(limit_dn * 1.1)
val[j].SetLineColor(i+1)
val[j].SetMarkerColor(i+1)
val[j].SetTitle("%s;%s;p.d.f"%(label,self.var))
leg.AddEntry(val[j],sample,'l')
val[j].Draw('hist' if not i else 'hist same')
if not j : continue
f = next(iter(val[j].GetListOfFunctions()))
f.SetLineColor(i+1)
f.SetLineStyle(2)
f.SetLineWidth(1)
f.Draw("same")
textlines+=["%s : %s"%(sample,label)] + (['%+.4f\t%s'%(f.GetParameter(m),part) for m,part in enumerate(f.GetName().split('++'))] if '++' in f.GetName() else
['[%d]\t%+.8f'%(m,f.GetParameter(m)) for m in range(f.GetNpar())]) + ['']
leg.Draw()
utils.tCanvasPrintPdf(canvas,fileName, verbose = j==2, option = ['(','',')'][j])
with open(fileName+'.txt','w') as txtfile : print >> txtfile, '\n'.join(textlines)
def reportCache(self) :
fileName = '/'.join(self.outputFileName.split('/')[:-1]+[self.name])
self.setup()
if not self.p : return
c = r.TCanvas()
self.p.SetLineWidth(2)
self.p.SetMaximum(1)
self.p.SetMinimum(0)
self.p.Draw('hist')
self.q.SetLineWidth(2)
self.q.SetLineColor(r.kRed)
self.q.Draw('hist same')
mean = self.q.Clone('mean'); mean.Reset();
for i in range(mean.GetNbinsX()) : mean.SetBinContent(i+1,self.mean)
mean.SetTitle("%.2f"%self.mean)
mean.SetLineColor(r.kBlue)
mean.Draw('hist same')
utils.tCanvasPrintPdf(c,fileName)
del mean
del c
def reportCache(self):
fileName = '/'.join(self.outputFileName.split('/')[:-1]+[self.name])
c = r.TCanvas()
utils.tCanvasPrintPdf(c, fileName, False, '[')
cache = self.fromCache(['merged'],self.parBins.keys(), self.tag)['merged']
for par,hist in cache.items():
pivot = self.parBins[par][3]
lo = hist.ProjectionY(hist.GetName()+'_lo', 0, hist.GetXaxis().FindFixBin(pivot)-1)
hi = hist.ProjectionY(hist.GetName()+'_hi', hist.GetXaxis().FindFixBin(pivot), -1)
tot = hist.ProjectionY()
lo.Divide(tot)
hi.Divide(tot)
tot.Scale(1./tot.Integral())
lo.SetLineColor(r.kBlue)
hi.SetLineColor(r.kRed)
lo.SetMinimum(0)
lo.SetMaximum(1)
tot.SetFillColor(17)
tot.SetFillStyle(1001)
l = r.TLine(pivot,0,pivot,1)
l.SetLineColor(r.kGreen)
lo.Draw('hist')
hi.Draw('hist same')
tot.Draw('hist same')
l.Draw()
utils.tCanvasPrintPdf(c, fileName, False)
utils.tCanvasPrintPdf(c, fileName, True, ']')
def reportCache(self):
fileName = '/'.join(self.outputFileName.split('/')[:-1] + [self.name])
c = r.TCanvas()
utils.tCanvasPrintPdf(c, fileName, False, '[')
cache = self.fromCache(['merged'], self.parBins.keys(),
self.tag)['merged']
for par, hist in cache.items():
pivot = self.parBins[par][3]
lo = hist.ProjectionY(hist.GetName() + '_lo', 0,
hist.GetXaxis().FindFixBin(pivot) - 1)
hi = hist.ProjectionY(hist.GetName() + '_hi',
hist.GetXaxis().FindFixBin(pivot), -1)
tot = hist.ProjectionY()
lo.Divide(tot)
hi.Divide(tot)
tot.Scale(1. / tot.Integral())
lo.SetLineColor(r.kBlue)
hi.SetLineColor(r.kRed)
lo.SetMinimum(0)
lo.SetMaximum(1)
tot.SetFillColor(17)
tot.SetFillStyle(1001)
l = r.TLine(pivot, 0, pivot, 1)
l.SetLineColor(r.kGreen)
lo.Draw('hist')
hi.Draw('hist same')
tot.Draw('hist same')
l.Draw()
utils.tCanvasPrintPdf(c, fileName, False)
utils.tCanvasPrintPdf(c, fileName, True, ']')
def reportCache(self):
fileName = '/'.join(self.outputFileName.split('/')[:-1] + [self.name])
self.setup()
if not self.p: return
c = r.TCanvas()
self.p.SetLineWidth(2)
self.p.SetMaximum(1)
self.p.SetMinimum(0)
self.p.Draw('hist')
self.q.SetLineWidth(2)
self.q.SetLineColor(r.kRed)
self.q.Draw('hist same')
mean = self.q.Clone('mean')
mean.Reset()
for i in range(mean.GetNbinsX()):
mean.SetBinContent(i + 1, self.mean)
mean.SetTitle("%.2f" % self.mean)
mean.SetLineColor(r.kBlue)
mean.Draw('hist same')
utils.tCanvasPrintPdf(c, fileName)
del mean
del c
def reportCache(self) :
likes = self.likelihoods()
fileName = '/'.join(self.outputFileName.split('/')[:-1]+[self.name])
optstat = r.gStyle.GetOptStat()
r.gStyle.SetOptStat(0)
c = r.TCanvas()
utils.tCanvasPrintPdf(c, fileName, False, '[')
with open(fileName+'.txt', "w") as file :
print >> file, '\n'.join(str(d) for d in self.populations)
print >> file
for key in sorted((set(likes[0]) & set(likes[1]) & set(likes[2])), key = lambda k: -1 if self.name==k else k) :
if not all(item[key] for item in likes) : continue
dilutions = [utils.dilution(bins1,bins2) for bins1,bins2 in itertools.combinations([utils.binValues(item[key]) for item in likes],2)]
print >> file, "\t".join([key.ljust(25)]+["%.4f"%d for d in dilutions])
h = 1.1*max(item[key].GetMaximum() for item in likes)
l = r.TLegend(0.75,0.85,0.98,0.98)
l.SetHeader("Dilutions : %.3f %.3f %.3f"%tuple(dilutions))
for i,(item,color,pop) in enumerate(zip(likes,[r.kBlack,r.kRed,r.kBlue],self.populations)) :
item[key].SetLineColor(color)
item[key].SetMaximum(h)
item[key].SetMinimum(0)
item[key].GetYaxis().SetTitle("pdf")
item[key].Draw("hist" + ('same' if i else ''))
l.AddEntry(item[key], pop['pre'],'l')
l.Draw()
utils.tCanvasPrintPdf(c, fileName, False)
c.Clear()
c.Divide(3,2)
covs = [self.fromCache([item['pre']], ["_cov_%s_%s"%pair for pair in itertools.combinations(self.dists.keys(),2)], tag = item['tag'])[item['pre']] for item in self.populations]
for key in (set(covs[0]) & set(covs[1]) & set(covs[2])) :
if not all(item[key] for item in covs) : continue
hists = [item[key] for item in covs]
deps = [utils.dependence(h,limit=1,inSigma=False) for h in hists]
for i,(h,d,pop) in enumerate(zip(hists,deps,self.populations)) :
d.SetTitle(pop['pre'])
c.cd(i+1); h.Draw('colz')
c.cd(i+4); d.Draw('colz')
utils.tCanvasPrintPdf(c, fileName, False)
c.Clear()
for key in sorted((set(likes[0]) & set(likes[1]) & set(likes[2])), key = lambda k: -1 if self.name==k else k) :
if not all(item[key] for item in likes) : continue
for i,j in itertools.combinations(range(3),2) :
k = next(k for k in range(3) if k not in [i,j])
templates = [ utils.binValues(likes[ii][key]) for ii in [i,j] ]
observed = utils.binValues(likes[k][key])
try: cs = utils.fractions.componentSolver(observed,templates)
except: cs = None
if not cs : continue
notK = likes[k][key].Clone('bf_not_'+likes[k][key].GetName())
notK.Reset()
notK.Add(likes[i][key],likes[j][key],cs.fractions[0],cs.fractions[1])
dil = utils.dilution(utils.binValues(likes[k][key]),utils.binValues(notK))
l = r.TLegend(0.75,0.85,0.98,0.98)
l.SetHeader("Dilution : %.3f"%dil)
l.AddEntry(likes[k][key], self.populations[k]['pre'], 'l')
l.AddEntry(notK, 'not '+self.populations[k]['pre'], 'l')
notK.SetLineStyle(2)
likes[k][key].Draw('hist')
notK.Draw('hist same')
l.Draw()
utils.tCanvasPrintPdf(c, fileName, False)
utils.tCanvasPrintPdf(c, fileName, True, ']')
r.gStyle.SetOptStat(optstat)
