def draw_geff(t, title, h_bins, to_draw, den_cut, extra_num_cut,
opt = "", color = kBlue, marker_st = 1, marker_sz = 1.):
"""Make an efficiency plot"""
## total numerator selection cut
num_cut = AND(den_cut,extra_num_cut)
## PyROOT works a little different than ROOT when you are plotting
## histograms directly from tree. Hence, this work-around
nBins = int(h_bins[1:-1].split(',')[0])
minBin = float(h_bins[1:-1].split(',')[1])
maxBin = float(h_bins[1:-1].split(',')[2])
num = TH1F("num", "", nBins, minBin, maxBin)
den = TH1F("den", "", nBins, minBin, maxBin)
t.Draw(to_draw + ">>num", num_cut, "goff")
t.Draw(to_draw + ">>den", den_cut, "goff")
debug = False
if debug:
print("Denominator cut", den_cut, den.GetEntries())
print("Numerator cut", num_cut, num.GetEntries())
## check if the number of passed entries larger than total entries
doConsistencyCheck = False
if doConsistencyCheck:
for i in range(0,nBins):
print(i, num.GetBinContent(i), den.GetBinContent(i))
if num.GetBinContent(i) > den.GetBinContent(i):
print(">>>Error: passed entries > total entries")
eff = TEfficiency(num, den)
## plotting options
if not "same" in opt:
num.Reset()
num.GetYaxis().SetRangeUser(0.0,1.1)
num.SetStats(0)
num.SetTitle(title)
num.Draw()
eff.SetLineWidth(2)
eff.SetLineColor(color)
eff.SetMarkerStyle(marker_st)
eff.SetMarkerColor(color)
eff.SetMarkerSize(marker_sz)
eff.Draw(opt + " same")
SetOwnership(eff, False)
return eff
# emtf_eff_vs_genpt_l1pt20
hname = "emtf_eff_vs_genpt_l1pt20"
h1a_denom = tfile.Get(hname + "_denom")
h1a_numer = tfile.Get(hname + "_numer")
h1b_denom = tfile.Get(hname2026_f(hname) + "_denom")
h1b_numer = tfile.Get(hname2026_f(hname) + "_numer")
print h1a_denom.GetEntries(), h1a_numer.GetEntries()
print h1b_denom.GetEntries(), h1b_denom.GetEntries()
h1a_eff = TEfficiency(h1a_numer, h1a_denom)
h1a_eff.SetStatisticOption(0) # kFCP
h1a_eff.SetConfidenceLevel(0.682689492137) # one sigma
h1a_eff.SetMarkerColor(632) # kRed
h1a_eff.SetLineColor(632) # kRed
h1a_eff.SetLineWidth(2)
h1b_eff = TEfficiency(h1b_numer, h1b_denom)
h1b_eff.SetStatisticOption(0) # kFCP
h1b_eff.SetConfidenceLevel(0.682689492137) # one sigma
h1b_eff.SetMarkerColor(600) # kBlue
h1b_eff.SetLineColor(600) # kBlue
h1b_eff.SetLineWidth(2)
gr = h1a_eff.CreateGraph()
gr.Draw("ap")
frame = gr.GetHistogram()
frame = frame.Clone(hname + "_frame")
frame.GetYaxis().SetTitle("#varepsilon")
frame.SetMinimum(0.0)
frame.SetMaximum(1.2)
for key in keys:
name = key.GetName()
if not 'Pass' in name: continue
if 'Vs' in name: continue
hpass = f.Get(name)
hall = f.Get(name.replace('Pass', 'All'))
histoStyler(hall, kCyan - 8)
hall.SetFillColor(hall.GetLineColor())
hall.SetFillStyle(1001)
eff = TEfficiency(hpass, hall)
eff.SetLineWidth(2)
kinvar = name[1:].replace('Pass', '')
hframe = hpass.Clone('hframe')
hframe.Reset()
hframe.GetYaxis().SetRangeUser(0, 1.3)
hframe.GetXaxis().SetTitle(kinvar + ' [' + units[kinvar] + ']')
hframe.GetYaxis().SetTitle('#epsilon')
hframe.SetTitle('')
hframe.Draw()
# hall.Scale(1.0/hall.Integral(),'width')
hall.Scale(1 / hall.GetMaximum())
hall.Draw('hist same')
def MakeOneHist(dirName, histogramName):
HeaderLabel = TPaveLabel(header_x_left,header_y_bottom,header_x_right,header_y_top,HeaderText,"NDC")
HeaderLabel.SetTextAlign(32)
HeaderLabel.SetTextFont(42)
HeaderLabel.SetTextSize(0.697674)
HeaderLabel.SetBorderSize(0)
HeaderLabel.SetFillColor(0)
HeaderLabel.SetFillStyle(0)
CMSLabel = TPaveLabel(header_x_left,header_y_bottom,header_x_right,header_y_top,HeaderText,"NDC")
CMSLabel.SetTextAlign(32)
CMSLabel.SetTextFont(42)
CMSLabel.SetTextSize(0.697674)
CMSLabel.SetBorderSize(0)
CMSLabel.SetFillColor(0)
CMSLabel.SetFillStyle(0)
if makeFancy:
LumiLabel = TPaveLabel(topLeft_x_left,topLeft_y_bottom,topLeft_x_right,topLeft_y_top,"CMS Preliminary","NDC")
LumiLabel.SetTextFont(62)
LumiLabel.SetTextSize(0.7)
LumiLabel.SetTextAlign(12)
else:
LumiLabel = TPaveLabel(topLeft_x_left,topLeft_y_bottom,topLeft_x_right,topLeft_y_top,LumiText,"NDC")
LumiLabel.SetTextAlign(32)
LumiLabel.SetTextFont(42)
LumiLabel.SetBorderSize(0)
LumiLabel.SetFillColor(0)
LumiLabel.SetFillStyle(0)
#legend coordinates, empirically determined :-)
x_left = 0.4
x_right = 0.7
y_min = 0.15
y_max = 0.3
Legend = TLegend(x_left,y_min,x_right,y_max)
Legend.SetBorderSize(0)
Legend.SetFillColor(0)
Legend.SetFillStyle(0)
Canvas = TCanvas(histogramName)
Histograms = []
HistogramClones = []
NBins = []
MaxXValues = []
MinXValues = []
LegendEntries = []
colorIndex = 0
for source in input_sources: # loop over different input sources in config file
dataset_file = "condor/%s/%s.root" % (source['condor_dir'],source['dataset'])
inputFile = TFile(dataset_file)
NumHistogramObj = inputFile.Get(source['num_channel'] + "Plotter/" + dirName + "/" + histogramName)
if 'condor_dir_den' in source: # If specified, take the denominator histogram from a different condor directory.
dataset_fileDen = "condor/%s/%s.root" % (source['condor_dir_den'],source['dataset'])
inputFileDen = TFile(dataset_fileDen)
DenHistogramObj = inputFileDen.Get(source['den_channel'] + "Plotter/" + dirName + "/" + histogramName)
else: # Default is to use the same condor directory
DenHistogramObj = inputFile.Get(source['den_channel'] + "Plotter/" + dirName + "/" + histogramName)
if not NumHistogramObj:
print "WARNING: Could not find histogram " + source['num_channel'] + "Plotter/" + dirName + "/" + histogramName + " in file " + dataset_file + ". Will skip it and continue."
return
if not DenHistogramObj:
print "WARNING: Could not find histogram " + source['den_channel'] + "Plotter/" + dirName + "/" + histogramName + " in file " + dataset_file + ". Will skip it and continue."
return
Histogram = NumHistogramObj.Clone()
if Histogram.Class().InheritsFrom("TH2"):
Histogram.SetName(Histogram.GetName() + "__" + source['dataset'])
Histogram.SetDirectory(0)
DenHistogram = DenHistogramObj.Clone()
DenHistogram.SetDirectory(0)
inputFile.Close()
nbinsN = Histogram.GetNbinsX()
nbinsD = DenHistogram.GetNbinsX()
if not noOverFlow:
# Add overflow
Histogram.SetBinContent( nbinsN, Histogram.GetBinContent(nbinsN) + Histogram.GetBinContent(nbinsN+1))
DenHistogram.SetBinContent(nbinsD, DenHistogram.GetBinContent(nbinsD) + DenHistogram.GetBinContent(nbinsD+1))
# Set the errors to be the sum in quadrature
Histogram.SetBinError( nbinsN, math.sqrt(math.pow(Histogram.GetBinError(nbinsN),2) + math.pow(Histogram.GetBinError(nbinsN+1),2)))
DenHistogram.SetBinError(nbinsD, math.sqrt(math.pow(DenHistogram.GetBinError(nbinsD),2) + math.pow(DenHistogram.GetBinError(nbinsD+1),2)))
if not noUnderFlow:
# Add underflow
Histogram.SetBinContent( 1, Histogram.GetBinContent(1) + Histogram.GetBinContent(0))
DenHistogram.SetBinContent(1, DenHistogram.GetBinContent(1) + DenHistogram.GetBinContent(0))
# Set the errors to be the sum in quadrature
Histogram.SetBinError( 1, math.sqrt(math.pow(Histogram.GetBinError(1), 2) + math.pow(Histogram.GetBinError(0), 2)))
DenHistogram.SetBinError(1, math.sqrt(math.pow(DenHistogram.GetBinError(1), 2) + math.pow(DenHistogram.GetBinError(0), 2)))
if arguments.rebinFactor:
RebinFactor = int(arguments.rebinFactor)
#don't rebin histograms which will have less than 5 bins or any gen-matching histograms
if Histogram.GetNbinsX() >= RebinFactor*5 and Histogram.GetTitle().find("GenMatch") is -1 and not Histogram.Class().InheritsFrom("TH2"):
Histogram.Rebin(RebinFactor)
DenHistogram.Rebin(RebinFactor)
xAxisLabel = Histogram.GetXaxis().GetTitle()
unitBeginIndex = xAxisLabel.find("[")
unitEndIndex = xAxisLabel.find("]")
if unitBeginIndex is not -1 and unitEndIndex is not -1: #x axis has a unit
yAxisLabel = "#epsilon_{ " + cutName + "} (" + str(Histogram.GetXaxis().GetBinWidth(1)) + " " + xAxisLabel[unitBeginIndex+1:unitEndIndex] + " width)"
else:
yAxisLabel = "#epsilon_{ " + cutName + "} (" + str(Histogram.GetXaxis().GetBinWidth(1)) + " width)"
if arguments.normalizeToUnitArea:
yAxisLabel = yAxisLabel + " (Unit Area Norm.)"
#check if bin content is consistent
TEfficiency.CheckConsistency(Histogram,DenHistogram)
for i in range(1,Histogram.GetNbinsX()+1):
if Histogram.GetBinContent(i) > DenHistogram.GetBinContent(i):
DenHistogram.SetBinContent(i,Histogram.GetBinContent(i))
#HistogramClone and HistogramClones only used for ratio plot
HistogramClone = Histogram.Clone()
HistogramClone.SetDirectory(0)
HistogramClone.Divide(DenHistogram)
Nbins = HistogramClone.GetNbinsX()
MaxXValue = HistogramClone.GetXaxis().GetBinLowEdge(Nbins+1)
MinXValue = HistogramClone.GetXaxis().GetBinLowEdge(1)
#this Histogram becomes the main TEfficiency
if Histogram.Class().InheritsFrom("TH2"):
Histogram.Divide(DenHistogram)
else:
#using default methods (which give correct uncertainties)
#see https://root.cern.ch/doc/master/classTEfficiency.html (c.f. section IV)
Histogram = TEfficiency(Histogram,DenHistogram)
if not arguments.makeFancy:
fullTitle = Histogram.GetTitle()
splitTitle = fullTitle.split(":")
# print splitTitle
if len(splitTitle) > 1:
histoTitle = splitTitle[1].lstrip(" ")
else:
histoTitle = splitTitle[0]
else:
histoTitle = ""
if 'color' in source:
Histogram.SetMarkerColor(colors[source['color']])
Histogram.SetLineColor(colors[source['color']])
else:
Histogram.SetMarkerColor(colors[colorList[colorIndex]])
Histogram.SetLineColor(colors[colorList[colorIndex]])
colorIndex = colorIndex + 1
if colorIndex is len(colorList):
colorIndex = 0
markerStyle = 20
if 'marker' in source:
markerStyle = markers[source['marker']]
if 'fill' in source:
markerStyle = markerStyle + fills[source['fill']]
Histogram.SetMarkerStyle(markerStyle)
Histogram.SetLineWidth(line_width)
Histogram.SetFillStyle(0)
LegendEntries.append(source['legend_entry'])
Histograms.append(Histogram)
HistogramClones.append(HistogramClone)
NBins.append(Nbins)
MaxXValues.append(MaxXValue)
MinXValues.append(MinXValue)
### scaling histograms as per user's specifications
for histogram in Histograms:
if arguments.normalizeToUnitArea and histogram.Integral() > 0:
histogram.Scale(1./histogram.Integral())
### formatting histograms and adding to legend
legendIndex = 0
for histogram in Histograms:
Legend.AddEntry(histogram,LegendEntries[legendIndex],"LEP")
legendIndex = legendIndex+1
### finding the maximum value of anything going on the canvas, so we know how to set the y-axis
finalMax = 1.1
if arguments.setYMax:
finalMax = float(arguments.setYMax)
### Drawing histograms to canvas
makeRatioPlots = arguments.makeRatioPlots
makeDiffPlots = arguments.makeDiffPlots
addOneToRatio = -1
if arguments.addOneToRatio:
addOneToRatio = arguments.addOneToRatio
dontRebinRatio = -1
if arguments.dontRebinRatio:
dontRebinRatio = arguments.dontRebinRatio
ratioRelErrMax = -1
if arguments.ratioRelErrMax:
ratioRelErrMax = arguments.ratioRelErrMax
yAxisMin = 0.0001
if arguments.setYMin:
yAxisMin = float(arguments.setYMin)
if makeRatioPlots or makeDiffPlots:
Canvas.SetFillStyle(0)
Canvas.Divide(1,2)
Canvas.cd(1)
gPad.SetPad(0,0.25,1,1)
gPad.SetMargin(0.15,0.05,0.01,0.07)
gPad.SetFillStyle(0)
gPad.Update()
gPad.Draw()
if arguments.setLogY:
gPad.SetLogy()
Canvas.cd(2)
gPad.SetPad(0,0,1,0.25)
#format: gPad.SetMargin(l,r,b,t)
gPad.SetMargin(0.15,0.05,0.4,0.01)
gPad.SetFillStyle(0)
gPad.SetGridy(1)
gPad.Update()
gPad.Draw()
Canvas.cd(1)
histCounter = 0
plotting_options = ""
if arguments.plot_hist:
plotting_options = "HIST"
h = TH2F("h1","",NBins[0],MinXValues[0],MaxXValues[0],110,0.,finalMax)
h.SetTitle(";"+xAxisLabel+";"+yAxisLabel)
h.Draw()
for histogram in Histograms:
if histogram.Class().InheritsFrom("TH2"):
histogram.SetTitle(histoTitle)
histogram.Draw("colz")
DatasetName = histogram.GetName()
DatasetName = DatasetName[DatasetName.rfind('__')+2:] # substring starting with the last underscore
DatasetLabel = TPaveLabel(topLeft_x_left,topLeft_y_bottom,topLeft_x_right,topLeft_y_top,DatasetName,"NDC")
DatasetLabel.SetBorderSize(0)
DatasetLabel.SetFillColor(0)
DatasetLabel.SetFillStyle(0)
DatasetLabel.Draw()
outputFile.cd()
Canvas.SetName(histogram.GetName())
Canvas.Write()
else:
if histogram.InheritsFrom("TEfficiency") and histCounter==0:
plotting_options = "P SAME"
histogram.SetTitle(histoTitle)
histogram.Draw(plotting_options)
if histogram.InheritsFrom("TH1"):
histogram.SetMaximum(finalMax)
histogram.SetMinimum(yAxisMin)
if histCounter is 0:
if histogram.InheritsFrom("TH1"):
plotting_options = plotting_options + " SAME"
elif histogram.InheritsFrom("TEfficiency"):
plotting_options = "P" + " SAME"
histCounter = histCounter + 1
if histogram.Class().InheritsFrom("TH2"):
return
Legend.Draw()
if arguments.makeFancy:
HeaderLabel.Draw()
LumiLabel.Draw()
#drawing the ratio or difference plot if requested
if makeRatioPlots or makeDiffPlots:
Canvas.cd(2)
if makeRatioPlots:
makeRatio = functools.partial (ratioHistogram,HistogramClones[0],HistogramClones[1])
if addOneToRatio != -1: # it gets initialized to this dummy value of -1
makeRatio = functools.partial (makeRatio, addOne = bool (addOneToRatio))
if ratioRelErrMax is not -1: # it gets initialized to this dummy value of -1
makeRatio = functools.partial (makeRatio, relErrMax = float (ratioRelErrMax))
if dontRebinRatio is True:
makeRatio = functools.partial (makeRatio, dontRebinRatio)
Comparison = makeRatio ()
elif makeDiffPlots:
Comparison = Histograms[0].Clone("diff")
Comparison.Add(Histograms[1],-1)
Comparison.SetTitle("")
Comparison.GetYaxis().SetTitle("hist1-hist2")
Comparison.GetXaxis().SetTitle(xAxisLabel)
Comparison.GetYaxis().CenterTitle()
Comparison.GetYaxis().SetTitleSize(0.1)
Comparison.GetYaxis().SetTitleOffset(0.5)
Comparison.GetXaxis().SetTitleSize(0.15)
Comparison.GetYaxis().SetLabelSize(0.1)
Comparison.GetXaxis().SetLabelSize(0.15)
if makeRatioPlots:
RatioYRange = 1.15
if arguments.ratioYRange:
RatioYRange = float(arguments.ratioYRange)
if addOneToRatio == -1: # it gets initialized to this dummy value of -1
Comparison.GetYaxis().SetRangeUser(-1*RatioYRange, RatioYRange)
else:
Comparison.GetYaxis().SetRangeUser(-1*RatioYRange + 1.0, RatioYRange + 1.0)
elif makeDiffPlots:
YMax = Comparison.GetMaximum()
YMin = Comparison.GetMinimum()
if YMax <= 0 and YMin <= 0:
Comparison.GetYaxis().SetRangeUser(-1.2*YMin,0)
elif YMax >= 0 and YMin >= 0:
Comparison.GetYaxis().SetRangeUser(0,1.2*YMax)
else: #axis crosses y=0
if abs(YMax) > abs(YMin):
Comparison.GetYaxis().SetRangeUser(-1.2*YMax,1.2*YMax)
else:
Comparison.GetYaxis().SetRangeUser(-1.2*YMin,1.2*YMin)
Comparison.GetYaxis().SetNdivisions(205)
Comparison.Draw("E0")
outputFile.cd(dirName)
Canvas.Write()
if arguments.savePDFs:
Canvas.SaveAs("efficiency_histograms_pdfs/"+histogramName+".pdf")
