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HtbPlotter.py
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HtbPlotter.py
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import RootCanvas as RC
import util
import logger as lg
import ROOT as rt
def PlotCompare(Config):
rootfile = rt.TFile(Config.General['input'], 'READ')
for cut in Config.CutList:
lg.logging('Processing cut %s' % (cut))
for var in Config.Vars[cut]:
lg.logging('\tProcessing var %s' % (var))
rt.gROOT.ProcessLine('SetAtlasStyle()')
canvas = RC.HtbCompCanvas()
canvas.canvas.Draw()
canvas.pad1.Draw()
canvas.pad2.Draw()
canvas.pad1.cd()
fHists = util.GetHists(Config, rootfile, cut, var)
hStack = rt.THStack('hStack', 'hStack')
h_tot = None
g_tot = None
xtitle = Config.fConfig[cut][var]['xname']
ytitle = Config.fConfig[cut][var]['yname']
h_data = None
hasData = False
if fHists.DATA:
h_data = fHists.DATA
hasData = True
i_color = 2
for _name, hist in fHists.STACK.items():
if i_color == 5 or i_color == 8:
i_color += 1
if i_color == 10:
i_color = 41
hist.SetFillColor(i_color)
hist.SetLineWidth(0)
hist.SetLineColor(rt.kBlack)
hStack.Add(hist)
if h_tot is None:
h_tot = hist.Clone('allmc')
else:
h_tot.Add(hist)
i_color += 1
b_ShowYields = Config.General['ShowYields']
b_logy = False
if 'logy' in Config.fConfig[cut][var]:
b_logy = Config.fConfig[cut][var]['logy']
rt.gStyle.SetEndErrorSize(4.0)
h_dummy = h_tot.Clone('h_dummy')
h_dummy.Scale(0)
h_dummy.Draw('HIST')
hStack.Draw('same HIST')
g_tot = rt.TGraphAsymmErrors(h_tot)
g_tot.SetFillStyle(3354)
g_tot.SetFillColor(rt.kBlack)
g_tot.SetLineColor(rt.kWhite)
g_tot.SetLineWidth(0)
g_tot.SetMarkerSize(0)
g_tot.Draw('same E2')
g_data = None
if hasData:
h_data.SetMarkerStyle(20)
h_data.SetLineColor(rt.kBlack)
h_data.SetLineWidth(2)
h_data.SetMarkerSize(1.4)
g_data = rt.TGraphAsymmErrors(h_data)
g_data.SetMarkerSize(h_data.GetMarkerSize())
g_data.SetMarkerColor(h_data.GetMarkerColor())
g_data.SetMarkerStyle(h_data.GetMarkerStyle())
g_data.SetLineWidth(h_data.GetLineWidth())
else:
h_data = h_tot.Clone('dummyData')
h_data.SetTitle('Asimov Data')
g_data = rt.TGraphAsymmErrors(h_data)
if fHists.SINGLE:
i_color = 2
for _name, hist in fHists.SINGLE.items():
if i_color == 5:
i_color += 1
hist.SetLineColor(rt.TColor.GetColorBright(i_color))
hist.SetLineStyle(2)
hist.SetLineWidth(3)
ntotal = h_tot.Integral()
nhist = hist.Integral()
if nhist != 0:
hist.Scale(ntotal / nhist)
hist.Draw('same HIST')
i_color += 1
if hasData:
g_data.Draw('same Ep1')
h_dummy.GetXaxis().SetTitle(xtitle)
h_dummy.GetYaxis().SetTitle(ytitle)
# h_dummy.GetYaxis().SetTitleOffset(2.3)
if b_logy:
h_dummy.SetMinimum(0.1)
else:
h_dummy.SetMinimum(0)
if hasData:
ymax = rt.TMath.Max(
h_tot.GetMaximum(),
h_data.GetMaximum()
)
if fHists.SINGLE:
for _name, hist in fHists.SINGLE.items():
if hist.Integral() != 0:
hist_max = hist.GetMaximum() * h_tot.Integral() / hist.Integral()
if ymax < hist_max:
ymax = hist_max
if b_logy:
h_dummy.SetMaximum(800 * ymax)
canvas.pad1.SetLogy(True)
else:
h_dummy.SetMaximum(1.5 * ymax)
else:
ymax = h_tot.GetMaximum()
if not fHists.SINGLE == {}:
for _name, hist in fHists.SINGLE.items():
hist_max = hist.GetMaximum() * h_tot.Integral() / hist.Integral()
if ymax < hist_max:
ymax = hist_max
if b_logy:
h_dummy.SetMaximum(500 * ymax)
canvas.pad1.SetLogy(True)
else:
h_dummy.SetMaximum(1.5 * ymax)
canvas.pad1.RedrawAxis()
canvas.pad1.SetTickx()
canvas.pad1.SetTicky()
legX1 = 1 - 0.41 * (596.0 / canvas.pad1.GetWw()) - 0.08
legX2 = 0.91
legXmid = legX1 + 0.5 * (legX2 - legX1)
if b_ShowYields:
legXmid = legX1 + 0.6 * (legX2 - legX1)
leg = rt.TLegend(legX1,
0.93 - (
len(fHists.STACK) +
len(fHists.SINGLE) + 2) * 0.04,
legXmid,
0.93)
leg1 = rt.TLegend(legXmid, leg.GetY1(), legX2, leg.GetY2())
leg.SetFillStyle(0)
leg.SetBorderSize(0)
leg.SetTextAlign(32)
leg.SetTextFont(rt.gStyle.GetTextFont())
leg.SetTextSize(rt.gStyle.GetTextSize() * 0.6)
leg.SetMargin(0.22)
leg1.SetFillStyle(0)
leg1.SetBorderSize(0)
leg1.SetTextAlign(32)
leg1.SetTextFont(rt.gStyle.GetTextFont())
leg1.SetTextSize(rt.gStyle.GetTextSize() * 0.6)
leg1.SetMargin(0.0)
if hasData:
leg.AddEntry(h_data, 'DATA', 'lep')
leg1.AddEntry(
None,
str('%.1f' % (h_data.Integral())),
''
)
if fHists.SINGLE:
for _name, hist in fHists.SINGLE.items():
leg.AddEntry(hist, _name, 'f')
leg1.AddEntry(
None,
str('%.1f' % (hist.Integral())),
''
)
if fHists.STACK:
for _name, hist in fHists.STACK.items():
leg.AddEntry(hist, _name, 'f')
leg1.AddEntry(
None,
str('%.1f' % (hist.Integral())),
''
)
leg.AddEntry(None, 'Total', '')
leg1.AddEntry(None, str('%.1f' % (h_tot.Integral())), '')
leg.AddEntry(g_tot, 'Uncertainty', 'f')
leg1.AddEntry(None, ' ', '')
leg.Draw()
leg1.Draw()
else:
leg = rt.TLegend(legX1,
0.93 -
(
(len(fHists.STACK) +
len(fHists.SINGLE) + 2) / 2
) * 0.06,
legX2,
0.93)
leg.SetNColumns(2)
leg.SetFillStyle(0)
leg.SetBorderSize(0)
leg.SetTextAlign(32)
leg.SetTextFont(rt.gStyle.GetTextFont())
leg.SetTextSize(rt.gStyle.GetTextSize() * 0.55)
leg.SetMargin(0.22)
if hasData:
leg.AddEntry(h_data, 'DATA', 'lep')
if fHists.SINGLE:
for _name, hist in fHists.SINGLE.items():
leg.AddEntry(hist, _name, 'f')
if fHists.STACK:
for _name, hist in fHists.STACK.items():
leg.AddEntry(hist, _name, 'f')
leg.AddEntry(g_tot, 'Uncertainty', 'f')
leg.Draw()
for textObj in Config.Text[cut]:
canvas.DrawText(textObj)
sqrts = {"text": "#sqrt{s} = 13TeV", "xPos": 0.18, "yPos": 0.82, "size": 0.035, "color": 1}
atlas = {"text": "#bf{#it{ATLAS}} Work in Progress", "xPos": 0.16, "yPos": 0.89, "size": 0.06, "color": 1}
lumi = {"text": "#intLdt =" + Config.General['lumi'] + " pb^{-1}", "xPos": 0.32, "yPos": 0.82, "size": 0.035, "color": 1}
canvas.DrawText(sqrts)
canvas.DrawText(atlas)
canvas.DrawText(lumi)
canvas.pad2.cd()
canvas.pad2.GetFrame().SetY1(2)
h_dummy2 = h_tot.Clone('h_dummy2')
h_dummy2.Scale(0)
h_dummy2.Draw('HIST')
# h_dummy2.GetYaxis().SetTitleOffset(
# 1.0 * h_dummy.GetYaxis().GetTitleOffset()
# )
h_ratio = h_data.Clone('h_ratio')
h_tot_noerr = h_tot.Clone('h_tot_noerr')
for i_bin in range(1, h_tot_noerr.GetNbinsX() + 1):
h_tot_noerr.SetBinError(i_bin, 0)
g_ratio2 = g_tot.Clone('g_ratio2')
for i_bin in range(1, h_tot_noerr.GetNbinsX() + 1):
if h_tot_noerr.GetBinContent(i_bin) == 0:
continue
g_ratio2.SetPoint(
i_bin - 1,
g_ratio2.GetX()[i_bin - 1],
g_ratio2.GetY()[i_bin - 1] /
h_tot_noerr.GetBinContent(i_bin)
)
g_ratio2.SetPointEXlow(
i_bin - 1,
g_ratio2.GetEXlow()[i_bin - 1]
)
g_ratio2.SetPointEXhigh(
i_bin - 1,
g_ratio2.GetEXhigh()[i_bin - 1]
)
g_ratio2.SetPointEYlow(
i_bin - 1,
g_ratio2.GetEYlow()[i_bin - 1] /
h_tot_noerr.GetBinContent(i_bin)
)
g_ratio2.SetPointEYhigh(
i_bin - 1,
g_ratio2.GetEYhigh()[i_bin - 1] /
h_tot_noerr.GetBinContent(i_bin))
h_dummy2.SetTitle('Data/MC')
h_dummy2.GetYaxis().CenterTitle()
h_dummy2.GetYaxis().SetTitle('Data/Bkg.')
# h_dummy2.GetYaxis().SetLabelSize(
# 1.0 * h_ratio.GetYaxis().GetLabelSize()
# )
h_dummy2.GetYaxis().SetLabelOffset(0.02)
h_dummy.GetYaxis().SetLabelOffset(0.02)
h_dummy2.GetYaxis().SetNdivisions(504, False)
rt.gStyle.SetEndErrorSize(4.0)
canvas.pad1.SetTicky()
h_ratio.Divide(h_tot_noerr)
h_ratio.SetMarkerStyle(20)
h_ratio.SetMarkerSize(1.4)
h_ratio.SetMarkerColor(rt.kBlack)
h_ratio.SetLineWidth(2)
g_ratio = rt.TGraphAsymmErrors(h_ratio)
g_ratio.SetMarkerStyle(h_ratio.GetMarkerStyle())
g_ratio.SetMarkerSize(h_ratio.GetMarkerSize())
g_ratio.SetMarkerColor(h_ratio.GetMarkerColor())
g_ratio.SetLineWidth(h_ratio.GetLineWidth())
g_ratio.SetLineColor(h_ratio.GetLineColor())
g_ratio.SetLineStyle(h_ratio.GetLineStyle())
hline = rt.TLine(
h_dummy2.GetXaxis().GetXmin(),
1,
h_dummy2.GetXaxis().GetXmax(),
1
)
hline.SetLineColor(rt.kRed)
hline.SetLineWidth(2)
hline.SetLineStyle(2)
if hasData:
g_ratio.Draw('Ep1 same')
hline.Draw()
h_dummy2.SetMinimum(0.5)
h_dummy2.SetMaximum(1.5)
h_dummy2.GetXaxis().SetTitle(h_dummy.GetXaxis().GetTitle())
# h_dummy2.GetXaxis().SetTitleOffset(5.0)
h_dummy.GetXaxis().SetTitle('')
h_dummy.GetXaxis().SetLabelSize(0)
labelsize = h_dummy.GetYaxis().GetLabelSize()
titlesize = h_dummy.GetYaxis().GetTitleSize()
titleoffset = h_dummy.GetYaxis().GetTitleOffset()
h_dummy.GetYaxis().SetLabelSize(0.7 * labelsize)
h_dummy2.GetYaxis().SetLabelSize(1.5 * labelsize)
h_dummy.GetYaxis().SetTitleSize(0.75 * titlesize)
h_dummy2.GetYaxis().SetTitleSize(1.7 * titlesize)
h_dummy2.GetXaxis().SetTitleSize(2.0 * titlesize)
h_dummy2.GetXaxis().SetLabelSize(1.7 * labelsize)
h_dummy2.GetYaxis().SetTitleOffset(0.45 * titleoffset)
h_dummy.GetYaxis().SetTitleOffset(1.1 * titleoffset)
h_dummy2.GetXaxis().SetLabelOffset(0.02)
g_ratio2.Draw('same E2')
canvas.pad2.RedrawAxis()
plotname = var + '.png'
outDir = util.checkDir(Config.General['plotdir'])
outDir = outDir + cut + '/'
util.MakeDir(outDir)
canvas.SavePrint(outDir + plotname)
lg.logging('\t%s Done' % (var), 'SUCCESS')
del canvas
lg.logging('%s Done' % (cut), 'SUCCESS')
rootfile.Close()
def PlotNormal(Config):
pass