xmax = None
for hist in sorted(hists):
print 'Processing: ', hist, dataName, anaDir
ssign, osign = makePlot(hist, weights, wJetScaleSS, wJetScaleOS,
options.box, options.mtregion, options.embed)
ssQCD, osQCD = getQCD(ssign, osign, dataName)
if options.rebin is not None:
rebin = int(options.rebin)
osQCD.Rebin(rebin)
ssQCD.Rebin(rebin)
canvas = TCanvas(hist, hist, 750, 700)
canvasRatio = TCanvas(hist + '_ratio', hist + '_ratio', 750, 700)
canvases.append(canvas)
canvases.append(canvasRatio)
formatPad(canvas)
formatPad(canvasRatio)
SSD[hist] = ssQCD
OSD[hist] = osQCD
histName = os.path.basename(hist)
canvas.cd()
osQCD.DrawStack('HIST', xmin=xmin, xmax=xmax)
savePlot(histName + '_lin.png')
gPad.SetLogy()
savePlot(histName + '_log.png')
gPad.SetLogy(False)
gPad.Update()
canvasRatio.cd()
osQCDRatio = copy.deepcopy(osQCD)
OSDR[hist] = osQCDRatio
osQCDRatio.DrawRatioStack('HIST',
plot.Hist('bgd1').layer = 1
plot.Hist('bgd2').layer = 2
h4 = TH1F('h4','h4', 100,-5,5)
h4.Sumw2()
sData.formatHisto(h4)
plot._BuildStack(plot.histos)
dataModel = plot.stack.totalHist.obj
for i in range(0, int(dataModel.GetEntries())):
rnd = dataModel.GetRandom()
h4.Fill(rnd)
plot.AddHistogram('data', h4)
plot.Hist('data').stack=False
c1 = TCanvas('c1')
formatPad(c1)
plot.DrawStack('HIST')
c2 = TCanvas('c2')
formatPad(c2)
ratioplot = copy.copy(plot)
ratioplot.DrawRatioStack('HIST', ymin=0.6, ymax=1.5)
c3 = TCanvas('c3')
formatPad(c3)
ratio2 = copy.copy(plot)
ratio2.DrawDataOverMCMinus1()
plot.Hist('signal').layer = 4
plot.Hist('bgd1').layer = 1
plot.Hist('bgd2').layer = 2
h4 = TH1F('h4', 'h4', 100, -5, 5)
h4.Sumw2()
sData.formatHisto(h4)
plot._BuildStack(plot.histos)
dataModel = plot.stack.totalHist.obj
for i in range(0, int(dataModel.GetEntries())):
rnd = dataModel.GetRandom()
h4.Fill(rnd)
plot.AddHistogram('data', h4)
plot.Hist('data').stack = False
c1 = TCanvas('c1')
formatPad(c1)
plot.DrawStack('HIST')
c2 = TCanvas('c2')
formatPad(c2)
ratioplot = copy.copy(plot)
ratioplot.DrawRatioStack('HIST', ymin=0.6, ymax=1.5)
c3 = TCanvas('c3')
formatPad(c3)
ratio2 = copy.copy(plot)
ratio2.DrawDataOverMCMinus1()
cfg = imp.load_source( 'cfg', cfgFileName, file)
embed = options.embed
selComps, weights, zComps = prepareComponents(anaDir, cfg.config)
can, pad, padr = buildCanvas()
fwss, fwos, ss, os = plot_W_inclusive( var, anaDir, selComps, weights,
30, 60, 300, options.cut,
weight=weight, embed=options.embed)
iso, antiso = fakePlots( opt, var, anaDir, selComps, weights,
fwss, fwos,
NBINS, XMIN, XMAX, options.cut,
weight=weight, embed=options.embed)
draw(iso)
c2 = TCanvas()
formatPad(c2)
hfake = fakeRate(opt, iso, antiso)
hfake.Draw()
if opt == 'ele':
h_jose_qcdEleIsoRatio.Draw('same')
elif opt == 'tau':
h_jose_qcdTauIsoRatio.Draw('same')
gPad.SaveAs('fake_{opt}.png'.format(opt=opt))
print histToCutstr(var, hfake.weighted)
300,
options.cut,
weight=weight,
embed=options.embed)
iso, antiso = fakePlots(opt,
var,
anaDir,
selComps,
weights,
fwss,
fwos,
NBINS,
XMIN,
XMAX,
options.cut,
weight=weight,
embed=options.embed)
draw(iso)
c2 = TCanvas()
formatPad(c2)
hfake = fakeRate(opt, iso, antiso)
hfake.Draw()
if opt == 'mu':
h_jose_qcdMuIsoRatio.Draw('same')
elif opt == 'tau':
h_jose_qcdTauIsoRatio.Draw('same')
gPad.SaveAs('fake_{opt}.png'.format(opt=opt))
print histToCutstr(var, hfake.weighted)
file = open(cfgFileName, 'r')
cfg = imp.load_source('cfg', cfgFileName, file)
selComps, weights = prepareComponents(anaDir, cfg.config)
print selComps
canvases = []
plots = {}
xmin = None
xmax = None
for hist in sorted(hists):
print 'Processing: ', hist, anaDir
plot = makePlot(hist, weights, options.box, options.mtregion)
if options.rebin is not None:
rebin = int(options.rebin)
plot.Rebin(rebin)
canvas = TCanvas(hist, hist, 750, 700)
canvases.append(canvas)
formatPad(canvas)
plots[hist] = plot
histName = os.path.basename(hist)
canvas.cd()
plot.DrawStack('HIST', xmin=xmin, xmax=xmax)
savePlot(histName + '_lin.png')
gPad.SetLogy()
savePlot(histName + '_log.png')
gPad.SetLogy(False)
gPad.Update()
for hist in sorted(hists):
print 'Processing: ',hist,dataName, anaDir
ssign,osign = makePlot( hist, weights, wJetScaleSS, wJetScaleOS,
options.box, options.mtregion, options.embed)
ssQCD, osQCD = getQCD( ssign, osign, dataName )
if options.rebin is not None:
rebin = int( options.rebin )
osQCD.Rebin( rebin )
ssQCD.Rebin( rebin )
canvas = TCanvas( hist, hist, 750, 700)
canvasRatio = TCanvas( hist + '_ratio', hist + '_ratio', 750, 700)
canvases.append( canvas )
canvases.append( canvasRatio )
formatPad( canvas )
formatPad( canvasRatio )
SSD[hist] = ssQCD
OSD[hist] = osQCD
histName = os.path.basename( hist )
canvas.cd()
osQCD.DrawStack('HIST', xmin=xmin, xmax=xmax )
savePlot( histName + '_lin.png')
gPad.SetLogy()
savePlot( histName + '_log.png')
gPad.SetLogy(False)
gPad.Update()
canvasRatio.cd()
osQCDRatio = copy.deepcopy(osQCD)
OSDR[hist] = osQCDRatio
osQCDRatio.DrawRatioStack('HIST', xmin=xmin, xmax=xmax, ymin=0.001, ymax=2)
canvases = []
plots = {}
xmin = None
xmax = None
for hist in sorted(hists):
print 'Processing: ',hist, anaDir
plot = makePlot( hist, weights, options.box, options.mtregion)
if options.rebin is not None:
rebin = int( options.rebin )
plot.Rebin( rebin )
canvas = TCanvas( hist, hist, 750, 700)
canvases.append( canvas )
formatPad( canvas )
plots[hist] = plot
histName = os.path.basename( hist )
canvas.cd()
plot.DrawStack('HIST', xmin=xmin, xmax=xmax )
savePlot( histName + '_lin.png')
gPad.SetLogy()
savePlot( histName + '_log.png')
gPad.SetLogy(False)
gPad.Update()
