def _plot(self, varexp, cut, options='', *args, **kwargs):
'''
Primitive method to produce histograms and projections
'''
if kwargs: print 'kwargs', kwargs
dirsentry = utils.TH1AddDirSentry()
sumsentry = utils.TH1Sumw2Sentry()
options = 'goff ' + options
self._log.debug('varexp: \'%s\'', varexp)
self._log.debug('cut: \'%s\'', cut)
self._log.debug('options: \'%s\'', options)
n = self._chain.Draw(varexp, cut, options, *args, **kwargs)
h = self._chain.GetHistogram()
if h.__nonzero__():
# print h.GetDirectory()
self._log.debug('entries %d integral %f', h.GetEntries(),
h.Integral())
h.Scale(self._scale)
self._log.debug('scale: %f integral %f', self._scale,
h.Integral())
return h
else:
self._log.debug('entries %d', n)
return None
def set(self, h0, *hs ):
if not hs and self._style.plotratio:
raise RuntimeError('cannot compare only 1 histogram')
n = h0.GetDimension()
if True in [ h.GetDimension() != n for h in hs ]:
raise ValueError('Cannot compare histograms with different dimensions')
sentry = utils.TH1AddDirSentry()
self._h0 = h0.Clone()
self._hists = [ h.Clone() for h in hs ]
def yields(self, cut='', options='', *args, **kwargs):
cut = self._cutexpr(cut)
# DO add the histogram, and set sumw2 (why not using TH1::Sumw2()?
dirsentry = utils.TH1AddDirSentry(True)
sumsentry = utils.TH1Sumw2Sentry()
# new name per call or? what about using always the same histogram?
tname = 'counter' #'counter_%s' % uuid.uuid1()
# it might look like an overkill, but the double here helps
counter = ROOT.TH1D(tname, tname, 1, 0., 1.)
h = self._plot('0. >> ' + tname, cut, options, *args, **kwargs)
xax = h.GetXaxis()
err = ctypes.c_double(0.)
int = h.IntegralAndError(xax.GetFirst(), xax.GetLast(), err)
return Yield(int, err.value)
def _projexpr(name, bins=None):
'''
Prepares the target for plotting if the binning is standard (n,min,max)
then return a string else, it's variable binning, make the htemp and
return it
'''
if not bins:
return 0, name, None
elif not isinstance(bins, tuple):
raise TypeError('bin must be an ntuple or an array')
l = len(bins)
# if the tuple is made of lists
# if l in [1,2] and all(map(lambda o: isinstance(o,list),bins)):
if (l in [1, 2] and all(map(lambda o: isinstance(o, list),
bins))) or (l in [3, 6]):
dirsentry = utils.TH1AddDirSentry()
sumsentry = utils.TH1Sumw2Sentry()
# get the hshape
hdim, hclass, hargs = _bins2hclass(bins)
# make the histogram
htemp = hclass(name, name, *hargs)
return hdim, name, htemp
else:
# standard approach, the string goes into the expression
# WARNING: this way the constuction of the histogram is delegated to TTree::Draw, which produces a TH1F
# IT would be better to retain the control over the histogram type selection (i.e. being able to make TH1D always)
# In order to do so, we need to mimik the with which TTree Draw creates its histograms:
# - x-check the dimention in varexp and projexp
# - initial xmin,xmax (and likewise for y)
# - default number of bins
if l in [1]:
# nx (free xmin, xmax)
ndim = 1
elif l in [4]:
# nx,xmin,xmax,ny (free ymin,ymax)
ndim = 2
else:
# only 1d or 2 d hist
raise RuntimeError('What a mess!!! bin malformed!')
hdef = '(' + ','.join([str(x) for x in bins]) + ')' if bins else ''
return ndim, name + hdef, None
def _fillvecs(self, collection):
# init the vectors
vecs = {
'color': ROOT.vector('int')(),
# 'syst' : ROOT.vector('double')(),
'scale': ROOT.vector('double')(),
'label': ROOT.vector('std::string')(),
'norm': ROOT.vector('double')(),
'th1': ROOT.vector('TH1*')(),
}
# order takes precedence
if self._order:
iproc = self._order
elif self._autosort:
iproc = self._properties.iterkeys()
else:
iproc = collection.iterkeys()
# and fill them
for name in iproc:
try:
(h, props) = collection[name]
except KeyError:
# some of the processes might not be there
continue
#
dummy = self._properties[name].copy()
dummy.update(props)
sentry = utils.TH1AddDirSentry()
vecs['th1'].push_back(h.Clone())
vecs['label'].push_back(dummy.get('label', h.GetTitle()))
vecs['color'].push_back(dummy.get('color', h.GetFillColor()))
vecs['scale'].push_back(dummy.get('scale', 1.))
# negative normalisation is not applied
vecs['norm'].push_back(dummy.get('norm', -1.))
return vecs
def getHistograms(self, samples, name, prefix):
## plot = self.plots[name]
## if ( plot is None ):
## raise NameValue('Plot '+name+' not found');
sentry = utils.TH1AddDirSentry()
histograms = []
for s in samples:
h = s.file.Get(name)
if not h.__nonzero__():
raise NameError('histogram ' + name + ' not found in ' +
s.path)
hClone = h.Clone(prefix + '_' + name)
hClone.UseCurrentStyle()
hClone.SetFillColor(s.fillColor)
hClone.SetLineColor(s.lineColor)
hClone.SetLineWidth(s.lineWidth)
histograms.append((hClone, s))
return histograms
def sum(self, histograms): #, samples):
sentry = utils.TH1AddDirSentry()
summed = []
sumList = {}
# make a map and remove the histograms not to sum
for (h, s) in histograms:
if s.sum == 'no':
summed.append((h, s))
continue
if not s.sum in sumList:
sumList[s.sum] = [h]
else:
sumList[s.sum].append(h)
virKeys = [sample.path for sample in self.virSamples]
for name, hists in sumList.iteritems():
if not name in virKeys:
raise ValueError('Virtual sample ' + name + ' not defined')
i = virKeys.index(name)
vs = self.virSamples[i]
h0 = hists[0].Clone(name)
h0.Reset()
for h in hists:
h0.Add(h)
h0.SetFillColor(vs.fillColor)
h0.SetLineColor(vs.lineColor)
h0.SetLineWidth(vs.lineWidth)
summed.append((h0, vs))
# re-sort the array on the file's order
sumsorted = sorted(summed, key=lambda pair: pair[1].order)
# return histograms;
return sumsorted
def plot(self, options=''):
style = self._style
left = style.left
right = style.right
top = style.top
bottom = style.bottom
gap = style.gap
width = style.width
heightf0 = style.heightf0
heightf1 = style.heightf1
linewidth = style.linewidth
markersize = style.markersize
textsize = style.textsize
legmargin = style.legmargin
titley = style.titley
axsty = style.axsty
# pads size
pw = width+left+right
ph = heightf0+top+bottom
ph0 = heightf0+top+gap
ph1 = heightf1+gap+bottom
xaxsty = axsty.copy()
xaxsty['labelsize'] = 0
yaxsty = axsty.copy()
yaxsty['ndivisions'] = 505
c = Canvas()
if style.plotratio:
self._pad0 = c[0,0] = Pad('p0',pw,ph0,margins=(left,right, top, gap), xaxis=xaxsty, yaxis=axsty)
self._pad1 = c[0,1] = Pad('p0',pw,ph1,margins=(left,right, gap, bottom), xaxis=axsty, yaxis=yaxsty)
else:
self._pad0 = c[0,0] = Pad('p0',pw,ph ,margins=(left,right, top, bottom), xaxis=axsty, yaxis=axsty)
c.makecanvas()
self._canvas = c
# ---
# main plot
self._pad0.cd()
self._pad0.SetLogx(style.logx)
self._pad0.SetLogy(style.logy)
hists = [self._h0] + self._hists
ndim = hists[0].GetDimension()
map(lambda h: ROOT.TH1.SetLineWidth(h,linewidth),hists)
# border between frame and legend
ha,va = style.legalign
x0 = (left+legmargin) if ha == 'l' else (left+width -legmargin)
y0 = (top +legmargin) if va == 't' else (top +heightf0-legmargin)
leg = Legend(1,len(hists),style.legboxsize,anchor=(x0,y0), style={'textsize':self.legtextsize}, align=style.legalign)
# ROOT marker size 1 = 8px. Convert pixel to root size
markersize /= 8.
from itertools import izip
for h,col,mrk,fll in izip(hists,style.colors,style.markers,style.fills):
h.SetFillStyle (fll)
h.SetFillColor (col)
h.SetLineColor (col)
h.SetMarkerColor(col)
h.SetMarkerStyle(mrk)
h.SetMarkerSize (markersize)
leg.addentry( h, 'pl')
stack = ROOT.THStack('overlap','')
map(stack.Add,hists)
stack.Draw('nostack %s' % options)
stack.GetXaxis().SetTitle(self._h0.GetXaxis().GetTitle())
stack.GetXaxis().SetMoreLogLabels(style.morelogx)
stack.GetYaxis().SetTitle(self._h0.GetYaxis().GetTitle())
stack.GetYaxis().SetMoreLogLabels(style.morelogy)
# if style.userrangex != (0.,0.): self._setrangeuser( stack.GetXaxis(), style )
if style.userrangex != (0.,0.): stack.GetXaxis().SetRangeUser(*(style.userrangex) )
if style.yrange != (0.,0.):
ymin,ymax = style.yrange
else:
yminstored = stack.GetHistogram().GetMinimumStored()
ymaxstored = stack.GetHistogram().GetMaximumStored()
ymin = stack.GetMinimum('nostack '+options) if yminstored == -1111 else yminstored
ymax = stack.GetMaximum('nostack '+options) if ymaxstored == -1111 else ymaxstored
stack.SetMinimum( style.scalemin*ymin)
stack.SetMaximum( style.scalemax*ymax)
#if style.yrange != (0.,0.):
#stack.SetMinimum( style.scalemin*style.yrange[0] )
#stack.SetMaximum( style.scalemin*style.yrange[1] )
#else:
#if style.scalemax != 1: stack.SetMaximum(style.scalemax*stack.GetMaximum('nostack '+options))
#if style.scalemin != 1: stack.SetMaximum(style.scalemin*stack.GetMinimum('nostack '+options))
self._stack = stack
leg.draw()
self._legend = leg
#title left
self._ltitleobj = Latex(style.ltitle, anchor=(left,titley), align=('l','b'), style={'textsize':textsize} )
self._ltitleobj.draw()
#rtitle
self._rtitleobj = Latex(style.rtitle, anchor=(pw-right,titley), align=('r','b'), style={'textsize':textsize} )
self._rtitleobj.draw()
if style.plotratio:
# kill the xtitle of the upper plot
self._stack.GetXaxis().SetTitle('')
# ---
# ratio plot
self._pad1.cd()
self._pad1.SetLogx(style.logx)
h0 = self._h0
nbins = h0.GetNbinsX()
xax = h0.GetXaxis()
sentry = utils.TH1AddDirSentry()
# create the h0 to hx rato
hratios = []
colors = [style.errcol] + (style.colors[1:] if len(self._hists) > 1 else [ROOT.kBlack] )
markers = [ROOT.kFullCircle] + (style.markers[1:] if len(self._hists) > 1 else [ROOT.kFullCircle])
allh = [self._h0]+self._hists
for hx,col,mrk in izip(allh,colors,markers):
hr = hx.Clone('ratio_%s_%s' % (hx.GetName(),h.GetName()) )
# divide by hand to preserve the errors
for k in xrange(nbins+2):
br,er = hr.GetBinContent(k),hr.GetBinError(k)
b0 = h0.GetBinContent(k)
if b0 == 0:
# empty h0 bin
br = 0
er = 0
else:
br /= b0
er /= b0
hr.SetBinContent(k,br)
hr.SetBinError(k,er)
hr.SetLineWidth (linewidth)
hr.SetMarkerSize (markersize)
hr.SetMarkerStyle (mrk)
hr.SetLineColor (col)
hr.SetMarkerColor (col)
hratios.append(hr)
dstack = ROOT.THStack('ratios','ratios')
ROOT.SetOwnership(dstack,True)
# and then the ratios
herr = hratios[0]
herr.SetNameTitle('err0','zero errors')
herr.SetMarkerSize(0)
herr.SetMarkerColor(style.errcol)
herr.SetFillStyle(0)
herr.SetFillColor(style.errcol)
herr.SetLineColor(style.errcol)
# error borders
herrUp = herr.Clone('errup')
herrDw = herr.Clone('errdw')
herrUp.Reset()
herrDw.Reset()
for k in xrange(nbins+2):
b,e = herr.GetBinContent(k),herr.GetBinError(k)
herrUp.SetAt( 1+e, k)
herrDw.SetAt( 1-e, k)
herr.SetFillStyle(style.errsty)
# build the stack
dstack.Add(herr,'E2')
dstack.Add(herrUp,'hist')
dstack.Add(herrDw,'hist')
map(dstack.Add,hratios[1:])
dstack.Draw('nostack %s' % options )
dstack.SetMinimum(0.)
dstack.SetMaximum(2.)
ax = dstack.GetXaxis()
ay = dstack.GetYaxis()
ax.SetTitle(h0.GetXaxis().GetTitle())
ax.SetMoreLogLabels(style.morelogx)
ay.SetTitle(style.ytitle2)
self._dstack = dstack
line = ROOT.TGraph(2)
line.SetNameTitle('oneline','oneline')
line.SetPoint(0,ax.GetXmin(),1)
line.SetPoint(1,ax.GetXmax(),1)
line.SetBit(ROOT.kCanDelete)
ROOT.SetOwnership(line,False)
line.Draw()
# if style.userrangex != (0.,0.): self._setrangeuser( ax, style )
if style.userrangex != (0.,0.): ax.SetRangeUser(*(style.userrangex) )
c.applystyle()
return c
def makeDataMCPlot(self, name):
# save the old dir
oldDir = ROOT.gDirectory
#and go to the new one
path = os.path.dirname(name)
self.getTDir(path).cd()
# but don't write the plots
sentry = utils.TH1AddDirSentry()
pl = self.plots[name]
data = self.getDataHistograms(name)
mc = self.getMCHistograms(name)
self.normalize(mc) #, self.mcSamples)
mc = self.sum(mc) #,self.mcSamples)
data = self.sum(data)
# print data
(data0, sample0) = data[0]
baseName = os.path.basename(name)
stack = ROOT.THStack('mcstack_' + baseName, data0.GetTitle())
if pl.rebin != 1:
data0.Rebin(pl.rebin)
# find the minima, move the following in a separate function
mcMinima = []
for (h, s) in mc:
if pl.rebin != 1:
h.Rebin(pl.rebin)
mcMinima.append(h.GetMinimum())
# print h.GetName(),mcMinima[-1],mcMinimaNonZero[-1]
stack.Add(h, 'hist')
# find the absolute minimum
minima = [h.GetMinimum() for h in stack.GetStack()]
minima.append(data0.GetMinimum())
# find the
minimaNonZero = [h.GetMinimum(0) for h in stack.GetStack()]
minimaNonZero.append(data0.GetMinimum(0))
# minYMc = min(mcMinima)
maxY = ROOT.TMath.Max(data0.GetMaximum(), stack.GetMaximum())
minY = ROOT.TMath.Min(data0.GetMinimum(), min(mcMinima))
# minY = ROOT.TMath.Min(data0.GetMinimum(),stack.GetStack().First().GetMinimum())
cName = 'c_' + baseName
c = ROOT.TCanvas(cName, cName, 2)
# print c.GetWw(),c.GetWh()
c.SetTicks()
# c.Size(30,30)
# print '- logx =', pl.logX, ': logy =',pl.logY
if pl.logX is 1:
c.SetLogx()
if pl.logY is 1 and not (maxY == minY == 0):
c.SetLogy()
if minY == 0.:
minY = min(minimaNonZero)
# don't allow the min to go below 0.1 data min
minY = max([minY, 0.1 * data0.GetMinimum(0)])
# maxY *= ROOT.TMath.Power(maxY/minY,0.1)
# minY /= ROOT.TMath.Power(maxY/minY,0.1)
# else:
# maxY += (maxY-minY)*0.1
# minY -= (maxY-minY)*0.1 if minY != 0. else 0;#-1111.
# print 'minmax',minY, maxY
maxY += (maxY - minY) * 0.1
# minY -= (maxY-minY)*0.1 if minY != 0. else 0
minX = data0.GetXaxis().GetXmin()
maxX = data0.GetXaxis().GetXmax()
# frame = c.DrawFrame(minX, minY, maxX, maxY)
frame = data0.Clone('frame')
frame.SetFillStyle(0)
frame.SetLineColor(ROOT.gStyle.GetFrameFillColor())
frame.Reset()
frame.SetBinContent(1, maxY)
frame.SetBinContent(frame.GetNbinsX(), minY)
# frame.SetMaximum(maxY)
# frame.SetMinimum(minY)
# frame.GetYaxis().SetLimits(minY,maxY)
frame.SetBit(ROOT.TH1.kNoStats)
frame.SetTitle(pl.title if pl.title != 'self' else data0.GetTitle())
frame.SetXTitle(
pl.xtitle if pl.xtitle != 'self' else data0.GetXaxis().GetTitle())
frame.SetYTitle(
pl.ytitle if pl.ytitle != 'self' else data0.GetYaxis().GetTitle())
frame.Draw()
# frame.GetPainter().PaintTitle()
for d, s in data:
d.SetFillColor(1)
d.SetMarkerColor(1)
d.SetMarkerStyle(20)
d.SetMarkerSize(0.7)
stack.Draw('same')
for d, s in data:
d.Draw('e1 same')
title = self.makeTitle(frame.GetTitle())
title.Draw()
legend = self.makeLegend(data, mc)
legend.Draw()
txt = self.makeCMSText()
txt.Draw()
c.Write()
oldDir.cd()
def makeEfficiencyTable(self, name):
print name
# save the old dir
oldDir = ROOT.gDirectory
#and go to the new one
path = os.path.dirname(name)
# but don't write the plots
sentry = utils.TH1AddDirSentry()
data = self.getDataHistograms(name)
mc = self.getMCHistograms(name)
self.normalize(mc) #, self.mcSamples)
mc = self.sum(mc) #,self.mcSamples)
data = self.sum(data)
(data0, sample0) = data[0]
nbins = data0.GetNbinsX()
print data0.GetBinContent(data0.GetNbinsX())
## for (h,s) in mc:
## print s.legend,h.GetBinContent(h.GetNbinsX())
tableValue = odict.OrderedDict()
efficiency = odict.OrderedDict()
tableEntry = odict.OrderedDict()
print '________________________________________________________________________________________________________________________________________________________________________________________________'
print '| cut:'.ljust(18), sample0.legend.ljust(18), '|'.join(
s.legend.ljust(18) for (h, s) in mc)
print '________________________________________________________________________________________________________________________________________________________________________________________________'
for i in range(nbins):
j = i + 1
axis = data0.GetXaxis()
cut = axis.GetBinLabel(j)
tableValue[cut] = odict.OrderedDict()
efficiency[cut] = odict.OrderedDict()
tableEntry[cut] = odict.OrderedDict()
tableEntry[cut]['cut'] = cut
preEntry = data0.GetBinContent(i)
entry = data0.GetBinContent(j)
tableValue[cut][sample0.path] = str('%.1f' % (entry))
if (preEntry == 0):
efficiency[cut][sample0.path] = str(0.0)
else:
efficiency[cut][sample0.path] = str('%.1f' %
(100 * (entry / preEntry)))
tableEntry[cut][sample0.path] = tableValue[cut][
sample0.path] + ' (' + efficiency[cut][sample0.path] + '\%)'
# get the MC
for (h, s) in mc:
preEntry = h.GetBinContent(i)
entry = h.GetBinContent(j)
tableValue[cut][s.path] = str('%.1f' % (entry))
if (preEntry == 0):
efficiency[cut][s.path] = str(0.0)
else:
efficiency[cut][s.path] = str('%.1f' %
(100 * (entry / preEntry)))
tableEntry[cut][s.path] = tableValue[cut][
s.path] + ' (' + efficiency[cut][s.path] + '\%)'
## print cut.ljust(10),'|',tableValue[cut][sample0.path].ljust(10),'|',' | '.join( [ tableValue[cut][s.path].ljust(10) for (h,s) in mc])
print '|' + cut.ljust(18), '|', tableEntry[cut][
sample0.path].ljust(18).replace('\%', '%'), '|', ' | '.join([
tableEntry[cut][s.path].ljust(18).replace('\%', '%')
for (h, s) in mc
]) + '|'
## print cut.ljust(20),efficiency[cut][sample0.path].ljust(20),' | '.join( [ efficiency[cut][s.path] for (h,s) in mc])
print '________________________________________________________________________________________________________________________________________________________________________________________________'
print r'\documentclass[a4paper]{article}'
print r'\begin{document}'
print r'\begin{tabular}{|' + 'c|' * (len(mc) + 2) + '}'
print r'\hline'
print ' & ', sample0.legend, ' & $', ' & $'.join(
s.legend.replace('+-', ' $\\pm$ ').replace('%', '\%').replace(
'#', '\\') + '$' for (h, s) in mc), r'\\'
print r'\hline'
for line in tableEntry.iterkeys():
print tableEntry[line]['cut'], ' & ', tableEntry[line][
sample0.path], ' & ', ' & '.join(
[tableEntry[line][s.path] for (h, s) in mc]), r'\\'
print r'\hline'
print r'\end{tabular}'
print r'\end{document}'
def draw(self, options='hist'):
import ROOT
if not ROOT.gPad.func():
raise RuntimeError('No active pad defined')
thePad = ROOT.gPad.func()
thePad.cd()
self._pad0 = ROOT.TPad('pad0','pad0',0.,(1-self._ratio),1.,1.)
ROOT.SetOwnership(self._pad0,False)
self._pad0.SetLogx( 1 if self._logx else 0 )
self._pad0.SetLogy( 1 if self._logy else 0 )
self._pad0.SetTopMargin(self._outer/self._ratio)
self._pad0.SetBottomMargin(self._inner/self._ratio)
self._pad0.SetTicks()
self._pad0.Draw()
self._pad0.cd()
hists = [self._h0] + self._hists
ndim = hists[0].GetDimension()
marker = 24 if ndim == 1 else 1
map(ROOT.TH1.SetLineWidth,hists, self._lwidths)
# map(lambda h: ROOT.TH1.SetLineWidth(h,2),hists)
map(lambda h: ROOT.TH1.SetMarkerStyle(h,marker),hists)
for i,h in enumerate(hists):
h.SetLineColor(self._colors[i])
h.SetMarkerColor(self._colors[i])
h.SetLineStyle(self._lstyles[i])
self._stack = None
stack = ROOT.THStack('overlap','')
ROOT.SetOwnership(stack,True)
stack.Add(hists[0],'e1')
for h in hists[1:]: stack.Add(h,'hist')
stack.Draw('nostack')
stack.SetMaximum(self._scale*max([h.GetMaximum() for h in hists]))
stack.GetXaxis().SetLabelSize(0.00)
stack.GetYaxis().SetTitle(self._ytitle if self._ytitle else self._h0.GetYaxis().GetTitle())
anchor = [1-self._marg,1-self._outer/self._ratio]
anchor[1] -= 0.05
self._legend = None
legend = ROOT.TLegend(anchor[0]-self._legsize[0],anchor[1]-self._legsize[1],anchor[0],anchor[1],'','NDC')
legend.SetFillColor(ROOT.kWhite)
legend.SetFillStyle(0)
legend.SetBorderSize(0)
# leg.SetNColumns(2)
map(legend.AddEntry,hists,['Nominal','+1#sigma-shape','-1#sigma-shape'],['fl']*3)
# for h in hists: legend.AddEntry(h,'','fl')
legend.Draw()
self._legend = legend
l = ROOT.TLatex()
l.SetNDC()
l.SetTextAlign(12)
l.DrawLatex(ROOT.gPad.GetLeftMargin(),1-(0.5*self._outer/self._ratio),self._ltitle)
l.SetTextAlign(32)
l.DrawLatex(1-ROOT.gPad.GetRightMargin(),1-(0.5*self._outer/self._ratio),self._rtitle)
self._stack = stack
l.SetTextAlign(22)
anchorCMS = [0.25,0.09]
l.SetTextSize(0.9*l.GetTextSize())
l.DrawLatex(ROOT.gPad.GetLeftMargin()+anchorCMS[0],1-ROOT.gPad.GetTopMargin()-anchorCMS[1],'CMS Preliminary')
if self._lumi:
anchorCMS = [0.25,0.15]
l.SetTextSize(0.9*l.GetTextSize())
l.DrawLatex(ROOT.gPad.GetLeftMargin()+anchorCMS[0],1-ROOT.gPad.GetTopMargin()-anchorCMS[1],'L = %.1f fb^{-1}' % self._lumi)
#- pad2 ---
sentry = utils.TH1AddDirSentry()
# print thePad
thePad.cd()
self._pad1 = ROOT.TPad('pad1','pad1',0.,0.0,1.,(1-self._ratio))
ROOT.SetOwnership(self._pad1,False)
self._pad1.SetTopMargin(self._inner/(1-self._ratio))
self._pad1.SetBottomMargin(self._outer/(1-self._ratio))
self._pad1.SetTicks()
self._pad1.SetGridy()
self._pad1.Draw()
self._pad1.cd()
hdiffs = []
for i,h in enumerate(hists):
hd = h.Clone('diff'+h.GetName())
hd.Divide(self._h0)
hd.SetMarkerStyle(20)
hd.SetLineWidth(self._lwidths[i])
# hd.SetLineColor(ROOT.kBlack)
# hd.SetMarkerColor(ROOT.kBlack)
hd.SetLineColor(self._colors[i])
hd.SetMarkerColor(self._colors[i])
hdiffs.append(hd)
line = hdiffs[0]
for i in xrange(line.GetNbinsX()+1):
line.SetAt(1.,i)
self._dstack = None
dstack = ROOT.THStack('diffs','')
ROOT.SetOwnership(dstack,False)
map(dstack.Add,hdiffs,['hist']*len(hdiffs))
dstack.Draw('nostack')
dstack.SetMaximum(2.)
ax = dstack.GetXaxis()
ay = dstack.GetYaxis()
ax.SetTitle( self._xtitle if self._xtitle else self._h0.GetXaxis().GetTitle() )
ay.SetTitle(self._ytitle2)
ay.SetTitleOffset(ay.GetTitleOffset()/self._ratio*(1-self._ratio) )
self._resize(ax,self._ratio)
self._resize(ay,self._ratio)
self._dstack = dstack