def hists_to_graph_asymm_err(hlow, hcent, hhigh):
'convert three histograms into one TGraphAsymmError'
if hlow.GetNbinsX() == hcent.GetNbinsX() == hhigh.GetNbinsX():
binsx = []
binsy = []
errx = []
erryl = []
erryh = []
for binl, binm, binh in zipBins(hlow, hcent, hhigh):
binsx.append( binm.center )
binsy.append( binm.content)
errx.append( binm.width/2. )
erryl.append( binm.content - binl.content)
erryh.append( binh.content - binm.content)
return ROOT.TGraphAsymmErrors(len(binsx),
array('f',binsx),
array('f',binsy),
array('f',errx),
array('f',errx),
array('f',erryl),
array('f',erryh)
)
else:
raise BinError("The tree input histograms don't have the same binning")
def Get(self, path):
fakes = self.fakes.Get(path)
wz = self.wz.Get(path)
zz = self.zz.Get(path)
bkg_error = wz.Clone()
bkg_error.SetTitle("Bkg. Unc.")
bkg_error.Reset()
for bin_err, bin_wz, bin_zz, bin_fake in zipBins(bkg_error, wz, zz, fakes): #range(1, bkg_error.GetNbinsX() + 1):
bin_err.error = quad(
bin_fake.error,
bin_fake.content*self.fake_error,
bin_wz.content*self.wz_error,
bin_zz.content*self.zz_error
)
bin_err.content = (
bin_fake.content(bin) +
bin_wz.content(bin) +
bin_zz.content(bin)
)
bkg_error.SetMarkerSize(0)
bkg_error.SetFillColor(1)
bkg_error.SetFillStyle(3013)
bkg_error.legendstyle = 'f'
return bkg_error
def apply_error_from_sysHist(self, hlow, hcent, hhigh):
if hlow.GetNbinsX() == hcent.GetNbinsX() == hhigh.GetNbinsX():
for binl, binm, binh in zipBins(hlow, hcent, hhigh):
binm.error = max(abs(binm.content - binl.content),
abs(binm.content - binh.content))
else:
raise BinError(
"The tree input histograms don't have the same binning")
def make_closure_plots(self, var, testDir, refDir, rebin=1, xaxis=''):
'''helper function to make comparison between data and data (closure test for fakerates etc.)'''
self.canvas.cd()
data_view = self.rebin_view(self.data, rebin)
test_view = views.StyleView( views.TitleView( views.SubdirectoryView( data_view, testDir), 'Weighted data' ), fillcolor=ROOT.EColor.kRed, drawstyle='hist' )#.Get(var)
refData = views.SubdirectoryView( data_view, refDir).Get(var)
testSampleName = '_'.join(testDir.split('/')[1:]).replace('IsoFailed','fail').replace('_weight','w')
refSampleName = refDir.split('/')[1].replace('IsoFailed','fail').replace('_weight','w')
#testData.SetTitle(testSampleName)
refData.SetTitle(refSampleName)
diboson_views = [ InflateErrorView( views.SubdirectoryView(self.rebin_view(self.get_view(pattern), rebin), refDir), 0.16 ) for pattern in ['VH*'] ] #, 'ZZ*', 'WW*'] ]
to_stack_views = diboson_views + [test_view] #+
stack_hist = views.StackView( *to_stack_views ).Get(var)
refData.drawstyle = "ep"
stack_hist.drawstyle = "HIST same" # same" #"HISTe same "
hmax = max( [max([(b.content+b.error) for b in zipBins(refData)]),stack_hist.GetMaximum()] )
refData.GetYaxis().SetRangeUser(0,hmax*1.3)
refData.GetXaxis().SetTitle(xaxis)
tgTest = HistStackToTGRaphErrors( stack_hist )
tgTest.SetFillStyle(3013)
tgTest.GetXaxis().SetTitle(xaxis)
tgTest.GetYaxis().SetRangeUser(0,hmax*1.3)
self.keep.append(tgTest)
refData.SetMarkerStyle(20)
refData.SetMarkerSize(1)
self.keep.append(refData)
self.keep.append(stack_hist)
refData.Draw()
stack_hist.Draw('same')
stack_hist.GetXaxis().SetTitle(xaxis)
stack_hist.GetYaxis().SetRangeUser(0,hmax*1.3)
refData.Draw('same')
tgTest.Draw('2 same')
#stack_hist.Draw()
#self.canvas.SetLogy()
legend = self.add_legend([refData], leftside=False, entries=len(to_stack_views) +1)
legend.AddEntry(stack_hist,'f')
legend.Draw()
self.add_cms_blurb(self.sqrts)
def hists_to_graph_asymm_err(hlow, hcent, hhigh):
'convert three histograms into one TGraphAsymmError'
if hlow.GetNbinsX() == hcent.GetNbinsX() == hhigh.GetNbinsX():
binsx = []
binsy = []
errx = []
erryl = []
erryh = []
for binl, binm, binh in zipBins(hlow, hcent, hhigh):
binsx.append(binm.center)
binsy.append(binm.content)
errx.append(binm.width / 2.)
erryl.append(binm.content - binl.content)
erryh.append(binh.content - binm.content)
return ROOT.TGraphAsymmErrors(len(binsx), array('f', binsx),
array('f', binsy), array('f', errx),
array('f', errx), array('f', erryl),
array('f', erryh))
else:
raise BinError(
"The tree input histograms don't have the same binning")
def apply_error_from_sysHist(self, hlow, hcent, hhigh):
if hlow.GetNbinsX() == hcent.GetNbinsX() == hhigh.GetNbinsX():
for binl, binm, binh in zipBins(hlow, hcent, hhigh):
binm.error = max( abs(binm.content-binl.content), abs(binm.content-binh.content) )
else:
raise BinError("The tree input histograms don't have the same binning")