def MakeOneHist(histogramName):
HeaderLabel = TPaveLabel(header_x_left, header_y_bottom, header_x_right,
header_y_top, HeaderText, "NDC")
HeaderLabel.SetTextAlign(32)
HeaderLabel.SetBorderSize(0)
HeaderLabel.SetFillColor(0)
HeaderLabel.SetFillStyle(0)
LumiLabel = TPaveLabel(topLeft_x_left, topLeft_y_bottom, topLeft_x_right,
topLeft_y_top, LumiText, "NDC")
LumiLabel.SetBorderSize(0)
LumiLabel.SetFillColor(0)
LumiLabel.SetFillStyle(0)
NormLabel = TPaveLabel()
NormLabel.SetDrawOption("NDC")
NormLabel.SetX1NDC(topLeft_x_left)
NormLabel.SetX2NDC(topLeft_x_right)
NormLabel.SetBorderSize(0)
NormLabel.SetFillColor(0)
NormLabel.SetFillStyle(0)
NormText = ""
if arguments.normalizeToUnitArea:
NormText = "Scaled to unit area"
Legend = TLegend()
Legend.SetBorderSize(0)
Legend.SetFillColor(0)
Legend.SetFillStyle(0)
Canvas = TCanvas(histogramName)
Histograms = []
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("OSUAnalysis/" +
source['num_channel'] + "/" +
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("OSUAnalysis/" +
source['den_channel'] + "/" +
histogramName)
else: # Default is to use the same condor directory
DenHistogramObj = inputFile.Get("OSUAnalysis/" +
source['den_channel'] + "/" +
histogramName)
if not NumHistogramObj:
print "WARNING: Could not find histogram " + source[
'num_channel'] + "/" + histogramName + " in file " + dataset_file + ". Will skip it and continue."
return
if not DenHistogramObj:
print "WARNING: Could not find histogram " + source[
'den_channel'] + "/" + 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()
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.)"
#Histogram = ROOT.TGraphAsymmErrors(NumHistogramObj,DenHistogramObj)
if arguments.noTGraph or Histogram.Class().InheritsFrom("TH2"):
Histogram.Divide(DenHistogram)
else:
Histogram = TGraphAsymmErrors(Histogram, DenHistogram)
if not arguments.makeFancy:
fullTitle = Histogram.GetTitle()
splitTitle = fullTitle.split(":")
# print splitTitle
histoTitle = splitTitle[1].lstrip(" ")
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)
### 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 = 0
if arguments.noTGraph:
for histogram in Histograms:
currentMax = histogram.GetMaximum() + histogram.GetBinError(
histogram.GetMaximumBin())
if (currentMax > finalMax):
finalMax = currentMax
finalMax = 1.5 * finalMax
if finalMax is 0:
finalMax = 1
if arguments.setYMax:
finalMax = float(arguments.setYMax)
### Drawing histograms to canvas
makeRatioPlots = arguments.makeRatioPlots
makeDiffPlots = arguments.makeDiffPlots
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"
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()
if arguments.makeFancy:
HeaderLabel.Draw()
else:
if histogram.InheritsFrom("TGraph") and histCounter == 0:
plotting_options = "AP"
histogram.SetTitle(histoTitle)
histogram.Draw(plotting_options)
histogram.GetXaxis().SetTitle(xAxisLabel)
histogram.GetYaxis().SetTitle(yAxisLabel)
if histogram.InheritsFrom("TH1"):
histogram.SetMaximum(finalMax)
histogram.SetMinimum(yAxisMin)
if makeRatioPlots or makeDiffPlots:
histogram.GetXaxis().SetLabelSize(0)
if histCounter is 0:
if histogram.InheritsFrom("TH1"):
plotting_options = plotting_options + " SAME"
elif histogram.InheritsFrom("TGraph"):
plotting_options = "P"
histCounter = histCounter + 1
if histogram.Class().InheritsFrom("TH2"):
return
#legend coordinates, empirically determined :-)
x_left = 0.1677852
x_right = 0.9647651
y_min = 0.6765734
y_max = 0.9
Legend.SetX1NDC(x_left)
Legend.SetY1NDC(y_min)
Legend.SetX2NDC(x_right)
Legend.SetY2NDC(y_max)
Legend.Draw()
if arguments.makeFancy:
HeaderLabel.Draw()
#drawing the ratio or difference plot if requested
if makeRatioPlots or makeDiffPlots:
Canvas.cd(2)
if makeRatioPlots:
Comparison = ratioHistogram(Histograms[0], Histograms[1])
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)
Comparison.GetYaxis().SetRangeUser(-1 * RatioYRange, RatioYRange)
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()
Canvas.Write()
if arguments.savePDFs:
Canvas.SaveAs("efficiency_histograms_pdfs/" + histogramName + ".pdf")
h1.GetXaxis().SetNdivisions(5)
h1.GetYaxis().SetNdivisions(5)
h1.GetXaxis().SetTitleSize(0.05)
h1.GetYaxis().SetTitleSize(0.05)
h1.GetZaxis().SetTitleSize(0.05)
h1.GetXaxis().SetLabelSize(0.05)
h1.GetYaxis().SetLabelSize(0.05)
h1.GetZaxis().SetLabelSize(0.05)
h1.GetXaxis().SetTitleOffset(1.0)
h1.GetYaxis().SetTitleOffset(1.6)
HeaderLabel = TPaveLabel(0.2, 0.92, 0.8, 0.98,title,"NDC")
# HeaderLabel.SetTextAlign(32)
HeaderLabel.SetTextFont(42)
HeaderLabel.SetTextSize(0.8)
HeaderLabel.SetBorderSize(0)
HeaderLabel.SetFillColor(0)
HeaderLabel.SetFillStyle(0)
if h1.Class().InheritsFrom("TH2"):
is2D = True
else:
is2D = False
if is2D:
c.SetRightMargin(0.15)
c.SetLogz(True)
HeaderLabel.SetTextSize(0.7)
h1.Draw("colz")
HeaderLabel.SetLabel(title + ": " + plot["label1"])
def main():
import argparse
parser = argparse.ArgumentParser(
usage="makePValuePlot.py [options] -o OUTPUTFILE --card CARD1",
description="plots pvalue scans for Z' analysis'",
formatter_class=argparse.ArgumentDefaultsHelpFormatter)
parser.add_argument("--card",
dest="cards",
default=[],
action="append",
help='add datacard to list of curves to plot')
parser.add_argument("--smooth",
dest="smooth",
action="store_true",
default=False,
help="Smooth observed values")
parser.add_argument("-c",
"--config",
dest="config",
default='',
help="config name")
parser.add_argument("-t",
"--tag",
dest="tag",
default='',
help="limit tag")
parser.add_argument("--ratioLabel",
dest="ratioLabel",
default='',
help="label for ratio")
args = parser.parse_args()
canv = ROOT.TCanvas("c1", "c1", 600, 450)
plotPad = ROOT.TPad("plotPad", "plotPad", 0, 0, 1, 1)
style = setTDRStyle()
ROOT.gStyle.SetTitleYOffset(1)
ROOT.gStyle.SetPadLeftMargin(0.12)
ROOT.gStyle.SetPadBottomMargin(0.12)
ROOT.gStyle.SetOptStat(0)
ROOT.gStyle.SetTitleXSize(0.055)
ROOT.gStyle.SetLabelSize(0.055, "X")
ROOT.gStyle.SetLabelSize(0.055, "Y")
ROOT.gStyle.SetTitleXOffset(1.05)
#ROOT.gStyle.SetLabelYSize(0.04)
ROOT.gStyle.SetTitleYSize(0.055)
ROOT.gStyle.SetTitleYOffset(1.1)
plotPad.UseCurrentStyle()
plotPad.Draw()
plotPad.cd()
plotPad.DrawFrame(200, 1e-4, 4000, 10, ";M [GeV]; local p-Value")
plotPad.SetLogy()
#ROOT.gStyle.SetLabelXSize(0.04)
leg = ROOT.TLegend(0.32, 0.72, 0.9, 0.875, "", "brNDC")
leg.SetFillColor(10)
leg.SetLineColor(10)
leg.SetShadowColor(0)
leg.SetBorderSize(0)
leg.SetNColumns(2)
leg.SetTextSize(0.06)
graphs = []
name = "pValues_%s_%s" % (args.config, args.tag)
fileForHEPData = TFile("plots/" + name + "_forHEPData.root", "RECREATE")
for index, card in enumerate(args.cards):
if 'width' in card:
width = "signif" + card.split('width')[-1].split('_')[0]
else:
width = 'signif'
masses, pValues = getPValues(card)
minPVal, minPValMass = getMinPValue(card)
print card, minPVal, minPValMass
graphs.append(
ROOT.TGraph(len(masses), numpy.array(masses),
numpy.array(pValues)))
label = card.split("_")[-1].split(".")[0]
if args.smooth:
smoother = ROOT.TGraphSmooth("normal")
graphs[index] = deepcopy(
smoother.SmoothSuper(graphs[index], "linear", 0, 0.005))
graphs[index].SetLineColor(lineColors[width])
graphs[index].SetLineStyle(lineStyles[width])
leg.AddEntry(graphs[index], labels[width], "l")
graphs[index].Draw("Lsame")
graphs[index].SetLineWidth(2)
graphs[index].SetName("graphPVal%s" % width)
graphs[index].Write("graphPVal%s" % width)
leg.Draw()
leg.SetTextSize(0.045)
latex = ROOT.TLatex()
latex.SetTextFont(42)
latex.SetTextAlign(31)
latex.SetTextSize(0.03)
latex.SetNDC(True)
latexCMS = ROOT.TLatex()
latexCMS.SetTextFont(62)
latexCMS.SetTextSize(0.055)
latexCMS.SetNDC(True)
latexCMSExtra = ROOT.TLatex()
latexCMSExtra.SetTextFont(52)
latexCMSExtra.SetTextSize(0.03)
latexCMSExtra.SetNDC(True)
configName = "scanConfiguration_%s" % args.config
config = __import__(configName)
chan = config.leptons
if (chan == "mumu"):
plLumi = TPaveLabel(.65, .885, .9, .99,
"139.7 fb^{-1} (13 TeV, #mu^{+}#mu^{-})", "NBNDC")
elif (chan == "elel"):
plLumi = TPaveLabel(.65, .885, .9, .99, "136.8 fb^{-1} (13 TeV, ee)",
"NBNDC")
elif (chan == "elmu"):
plLumi = TPaveLabel(
.27, .885, .9, .99,
"136.8 fb^{-1} (13 TeV, ee) + 139.7 fb^{-1} (13 TeV, #mu^{+}#mu^{-})",
"NBNDC")
plLumi.SetTextSize(0.5)
plLumi.SetTextFont(42)
plLumi.SetFillColor(0)
plLumi.SetBorderSize(0)
plLumi.Draw()
cmsExtra = "Preliminary"
latexCMS.DrawLatex(0.14, 0.81, "CMS")
if "Simulation" in cmsExtra:
yLabelPos = 0.78
else:
yLabelPos = 0.78
latexCMSExtra.DrawLatex(0.14, yLabelPos, "%s" % (cmsExtra))
ZeroSigmaLine = ROOT.TLine(200, 0.5, 4000, 0.5)
ZeroSigmaLine.SetLineStyle(ROOT.kDashed)
ZeroSigmaLine.Draw("same")
OneSigmaLine = ROOT.TLine(200, 0.317 / 2, 4000, 0.317 / 2)
OneSigmaLine.SetLineStyle(ROOT.kDashed)
OneSigmaLine.Draw("same")
TwoSigmaLine = ROOT.TLine(200, 0.0455 / 2, 4000, 0.0455 / 2)
TwoSigmaLine.SetLineStyle(ROOT.kDashed)
TwoSigmaLine.Draw("same")
ThreeSigmaLine = ROOT.TLine(200, 0.0027 / 2, 4000, 0.0027 / 2)
ThreeSigmaLine.SetLineStyle(ROOT.kDashed)
ThreeSigmaLine.Draw("same")
FourSigmaLine = ROOT.TLine(200, 0.00006 / 2, 4000, 0.00006 / 2)
FourSigmaLine.SetLineStyle(ROOT.kDashed)
#~ FourSigmaLine.Draw("same")
FiveSigmaLine = ROOT.TLine(200, 3e-07, 4000, 3e-07)
FiveSigmaLine.SetLineStyle(ROOT.kDashed)
#~ FiveSigmaLine.Draw("same")
latex = ROOT.TLatex()
latex.SetTextFont(42)
latex.SetTextAlign(31)
latex.SetTextSize(0.04)
#~ latex.SetNDC(Tru78
latex.DrawLatex(4150, 0.5, "0#sigma")
latex.DrawLatex(4150, 0.317 / 2, "1#sigma")
latex.DrawLatex(4150, 0.0455 / 2, "2#sigma")
latex.DrawLatex(4150, 0.0027 / 2, "3#sigma")
#~ latex.DrawLatex(4200, 0.00006/2, "4#sigma")
#~ latex.DrawLatex(4200, 3e-7, "5#sigma")
#~ ROOT.gPad.WaitPrimitive()
plotPad.SetTicks(1, 1)
plotPad.RedrawAxis()
if args.smooth:
name += "_smoothed"
#name = name+".pdf"
canv.Print("plots/" + name + ".pdf")
canv.Print("plots/" + name + ".root")
plotPad.RedrawAxis()
fileForHEPData.Write()
fileForHEPData.Close()
def MakeOneDHist(histogramDirectory, histogramName,integrateDir):
if arguments.verbose:
print "Creating histogram", histogramName, "in directory", histogramDirectory
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 = TLegend()
Legend.SetBorderSize(0)
Legend.SetFillColor(0)
Legend.SetFillStyle(0)
canvasName = histogramName
if integrateDir is "left":
canvasName += "_CumulativeLeft"
elif integrateDir is "right":
canvasName += "_CumulativeRight"
Canvas = TCanvas(canvasName)
Histograms = []
RefIndex = -99
LegendEntries = []
colorIndex = 0
markerStyleIndex = 0
fillIndex = 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)
if arguments.generic:
if histogramDirectory == "":
histPath = histogramName
else:
histPath = histogramDirectory + "/" + histogramName
HistogramObj = inputFile.Get(histPath)
else:
HistogramObj = inputFile.Get(source['channel'] + "Plotter/" + histogramDirectory + "/" + histogramName)
if not HistogramObj:
print "WARNING: Could not find histogram " + source['channel'] + "/" + histogramName + " in file " + dataset_file + ". Will skip it and continue."
return
Histogram = HistogramObj.Clone()
Histogram.SetDirectory(0)
inputFile.Close()
Histogram.Sumw2()
if arguments.verbose:
print " Got histogram", Histogram.GetName(), "from file", dataset_file
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:
Histogram.Rebin(RebinFactor)
# correct bin contents of object multiplcity plots
if Histogram.GetName().startswith("num") and "PV" not in Histogram.GetName():
# include overflow bin
for bin in range(2,Histogram.GetNbinsX()+2):
content = Histogram.GetBinContent(bin)
Histogram.SetBinContent(bin, content/float(bin-1))
xAxisLabel = Histogram.GetXaxis().GetTitle()
unitBeginIndex = xAxisLabel.find("[")
unitEndIndex = xAxisLabel.find("]")
xAxisLabelVar = xAxisLabel
if "_pfx" in Histogram.GetName() or "_pfy" in Histogram.GetName() or "_sigma" in Histogram.GetName():
yAxisLabel = Histogram.GetYaxis().GetTitle()
else:
if unitBeginIndex is not -1 and unitEndIndex is not -1: #x axis has a unit
yAxisLabel = "Entries / " + str(Histogram.GetXaxis().GetBinWidth(1)) + " " + xAxisLabel[unitBeginIndex+1:unitEndIndex]
xAxisLabelVar = xAxisLabel[0:unitBeginIndex]
else:
yAxisLabel = "Entries per bin (" + str(Histogram.GetXaxis().GetBinWidth(1)) + " width)"
if arguments.normalizeToUnitArea:
yAxisLabel = yAxisLabel + " (Unit Area Norm.)"
if arguments.normalizeToUnitArea and arguments.makeSignificancePlots:
unit = "Efficiency"
else:
unit = "Yield"
if integrateDir is "left":
yAxisLabel = unit + ", " + xAxisLabelVar + "< x (" + str(Histogram.GetXaxis().GetBinWidth(1)) + " bin width)"
if integrateDir is "right":
yAxisLabel = unit + ", " + xAxisLabelVar + "> x (" + str(Histogram.GetXaxis().GetBinWidth(1)) + " bin width)"
nbins = Histogram.GetNbinsX()
if not noOverFlow:
Histogram.SetBinContent(nbins, Histogram.GetBinContent(nbins) + Histogram.GetBinContent(nbins+1)) # Add overflow
Histogram.SetBinError(nbins, math.sqrt(math.pow(Histogram.GetBinError(nbins),2) + math.pow(Histogram.GetBinError(nbins+1),2))) # Set the errors to be the sum in quadrature
if not noUnderFlow:
Histogram.SetBinContent(1, Histogram.GetBinContent(1) + Histogram.GetBinContent(0)) # Add underflow
Histogram.SetBinError(1, math.sqrt(math.pow(Histogram.GetBinError(1), 2) + math.pow(Histogram.GetBinError(0), 2))) # Set the errors to be the sum in quadrature
if not arguments.makeFancy and not arguments.generic:
fullTitle = Histogram.GetTitle()
splitTitle = fullTitle.split(":")
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
markerStyleIndex = markerStyleIndex + 1
if markerStyleIndex is len(markerStyleList):
markerStyleIndex = 0
fillIndex = fillIndex + 1
if 'scale' in source:
Histogram.Scale(source['scale'])
markerStyle = 20
if 'marker' in source:
markerStyle = markers[source['marker']]
else:
markerStyle = markers[markerStyleList[markerStyleIndex]]
fillStyle = 0
if 'fill' in source:
markerStyle = markerStyle + fills[source['fill']]
else:
markerStyle = markerStyle + fills[fillList[fillIndex]]
Histogram.SetMarkerStyle(markerStyle)
Histogram.SetMarkerSize(0.5)
Histogram.SetLineWidth(line_width)
Histogram.SetFillStyle(0)
if arguments.normalizeToUnitArea and Histogram.Integral() > 0:
Histogram.Scale(1./Histogram.Integral())
Histogram = MakeIntegralHist(Histogram, integrateDir)
LegendEntries.append(source['legend_entry'])
Histograms.append(Histogram)
if 'reference' in source:
if source['reference']:
RefIndex = len(Histograms)-1
### formatting histograms and adding to legend
legendIndex = 0
for histogram in Histograms:
Legend.AddEntry(histogram,LegendEntries[legendIndex],"LEP")
# Legend.AddEntry(histogram,LegendEntries[legendIndex],"P")
legendIndex = legendIndex+1
### finding the maximum value of anything going on the canvas, so we know how to set the y-axis
finalMax = 0
for histogram in Histograms:
currentMax = histogram.GetMaximum() + histogram.GetBinError(histogram.GetMaximumBin())
if(currentMax > finalMax):
finalMax = currentMax
finalMax = 1.5*finalMax
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
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.generic:
plotting_options = "p,e"
if arguments.plot_hist:
plotting_options = "HIST"
for histogram in Histograms:
histogram.SetTitle(histoTitle)
if arguments.verbose:
print " Drawing hist " + histogram.GetName() + ", with plotting_options = " + plotting_options + ", with mean = " + str(histogram.GetMean()) + ", with color = " + str(histogram.GetLineColor())
histogram.Draw(plotting_options)
histogram.GetXaxis().SetTitle(xAxisLabel)
histogram.GetYaxis().SetTitle(yAxisLabel)
histogram.SetMaximum(finalMax)
if "_pfx" not in Histogram.GetName() and "_pfy" not in Histogram.GetName() and "_sigma" not in Histogram.GetName():
histogram.SetMinimum(yAxisMin)
if makeRatioPlots or makeDiffPlots:
histogram.GetXaxis().SetLabelSize(0)
if histCounter is 0:
plotting_options = plotting_options + " SAME"
histCounter = histCounter + 1
#legend coordinates, empirically determined :-)
x_left = 0.1677852
x_right = 0.9647651
y_min = 0.6765734
y_max = 0.9
Legend.SetX1NDC(x_left)
Legend.SetY1NDC(y_min)
Legend.SetX2NDC(x_right)
Legend.SetY2NDC(y_max)
Legend.Draw()
# Deciding which text labels to draw and drawing them
if arguments.makeFancy:
HeaderLabel.Draw()
LumiLabel.Draw()
#drawing the ratio or difference plot if requested
if makeRatioPlots or makeDiffPlots:
Comparisons = []
Canvas.cd(2)
if RefIndex == -99:
Reference = Histograms[0]
else:
Reference = Histograms[RefIndex]
for Histogram in Histograms:
if Histogram is Reference:
continue
if makeRatioPlots:
makeRatio = functools.partial (ratioHistogram,Histogram, Reference)
if arguments.ratioRelErrMax is not -1: # it gets initialized to this dummy value of -1
makeRatio = functools.partial (makeRatio, relErrMax = float(arguments.ratioRelErrMax))
if addOneToRatio != -1: # it gets initialized to this dummy value of -1
makeRatio = functools.partial (makeRatio, addOne = bool (addOneToRatio))
Comparison = makeRatio()
elif makeDiffPlots:
Comparison = Reference.Clone("diff")
Comparison.Add(Histograms[1],-1)
Comparison.SetTitle("")
Comparison.GetYaxis().SetTitle("X-ref")
Comparison.SetLineColor(Histogram.GetLineColor())
Comparison.SetFillColor(Histogram.GetFillColor())
Comparison.SetFillStyle(Histogram.GetFillStyle())
Comparison.SetMarkerColor(Histogram.GetMarkerColor())
Comparison.SetMarkerStyle(Histogram.GetMarkerStyle())
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)
Comparisons.append(Comparison)
option = "E0"
for index,Comparison in enumerate(Comparisons):
if index == 0:
option += " SAME"
Comparison.Draw(option)
outputFile.cd(histogramDirectory)
Canvas.Write()
if arguments.verbose:
print " Finished writing canvas: ", Canvas.GetName()
if arguments.savePDFs:
Canvas.SaveAs("comparison_histograms_pdfs/"+histogramName+".pdf")
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")
def makeLimitPlot(output,obs,exp,chan,printStats=False):
fileForHEPData = TFile("plots/"+output+"_forHEPData.root","RECREATE")
obsLimits = {}
for obsFile in obs:
if 'width' in obsFile:
width = obsFile.split('width')[-1].split('_')[0]
else:
width = '0.006'
obsLimits[width] = createObsGraph(obsFile)
if SMOOTH:
for width,obsGraph in obsLimits.iteritems():
smooth_obs=TGraphSmooth("normal")
GraphObs_nonSmooth=obsGraph
obsLimits[width]=copy.deepcopy(smooth_obs.SmoothSuper(GraphObs_nonSmooth,"linear",0,0.005))
obsLimits[width].SetLineWidth(3)
expLimits = {}
for expFile in exp:
if 'width' in expFile:
width = expFile.split('width')[-1].split('_')[0]
else:
width = '0.006'
expLimits[width] = createExpGraph(expFile)
cCL=TCanvas("cCL", "cCL",0,0,600,450)
gStyle.SetOptStat(0)
gStyle.SetPadRightMargin(0.063)
gStyle.SetPadLeftMargin(0.14)
gStyle.SetPadBottomMargin(0.12)
plotPad = ROOT.TPad("plotPad","plotPad",0,0,1,1)
plotPad.Draw()
plotPad.cd()
smoother=TGraphSmooth("normal")
smoother2=TGraphSmooth("normal")
zprimeX=[]
zprimeY=[]
fileZPrime=open('tools/xsec_ssm.txt','r')
for entries in fileZPrime:
entry=entries.split()
zprimeX.append(float(entry[0]))
zprimeY.append(float(entry[1])/1928)
zpX=numpy.array(zprimeX)
zpY=numpy.array(zprimeY)
GraphZPrime=TGraph(len(zprimeX),zpX,zpY)
GraphZPrimeSmooth=smoother2.SmoothSuper(GraphZPrime,"linear")
GraphZPrimeSmooth.SetLineWidth(3)
GraphZPrimeSmooth.SetLineColor(ROOT.kGreen+3)
GraphZPrimeSmooth.SetLineStyle(2)
zprimePsiX=[]
zprimePsiY=[]
fileZPrimePsi=open('tools/xsec_psi.txt','r')
for entries in fileZPrimePsi:
entry=entries.split()
zprimePsiX.append(float(entry[0]))
zprimePsiY.append(float(entry[1])/1928)
zpPsiX=numpy.array(zprimePsiX)
zpPsiY=numpy.array(zprimePsiY)
GraphZPrimePsi=TGraph(len(zprimePsiX),zpPsiX,zpPsiY)
GraphZPrimePsiSmooth=smoother.SmoothSuper(GraphZPrimePsi,"linear")
GraphZPrimePsiSmooth.SetLineWidth(3)
GraphZPrimePsiSmooth.SetLineColor(ROOT.kBlue)
#Draw the graphs:
plotPad.SetLogy()
DummyGraph=TH1F("DummyGraph","",100,200,5500)
DummyGraph.GetXaxis().SetTitle("M [GeV]")
if SPIN2:
DummyGraph.GetYaxis().SetTitle("[#sigma#upoint#font[12]{B}] G_{KK} / #sigma#upoint#font[12]{B}] Z")
else:
DummyGraph.GetYaxis().SetTitle("[#sigma#upoint#font[12]{B}] Z' / [#sigma#upoint#font[12]{B}] Z")
# if SPIN2:
# if chan=="mumu":
# DummyGraph.GetYaxis().SetTitle("#sigma(pp#rightarrowG_{KK}+X#rightarrow#mu^{+}#mu^{-}+X) / #sigma(pp#rightarrowZ+X#rightarrow#mu^{+}#mu^{-}+X)")
# elif chan=="elel":
# DummyGraph.GetYaxis().SetTitle("#sigma(pp#rightarrowG_{KK}+X#rightarrowee+X) / #sigma(pp#rightarrowZ+X#rightarrowee+X)")
# elif chan=="elmu":
# DummyGraph.GetYaxis().SetTitle("#sigma(pp#rightarrowG_{KK}+X#rightarrow#font[12]{ll}+X) / #sigma(pp#rightarrowZ+X#rightarrow#font[12]{ll}+X)")
# else:
# if chan=="mumu":
# DummyGraph.GetYaxis().SetTitle("#sigma(pp#rightarrowZ'+X#rightarrow#mu^{+}#mu^{-}+X) / #sigma(pp#rightarrowZ+X#rightarrow#mu^{+}#mu^{-}+X)")
# elif chan=="elel":
# DummyGraph.GetYaxis().SetTitle("#sigma(pp#rightarrowZ'+X#rightarrowee+X) / #sigma(pp#rightarrowZ+X#rightarrowee+X)")
# elif chan=="elmu":
# DummyGraph.GetYaxis().SetTitle("#sigma(pp#rightarrowZ'+X#rightarrow#font[12]{ll}+X) / #sigma(pp#rightarrowZ+X#rightarrow#font[12]{ll}+X)")
gStyle.SetOptStat(0)
DummyGraph.GetXaxis().SetRangeUser(200,5500)
DummyGraph.SetMinimum(1e-8)
DummyGraph.SetMaximum(3e-4)
DummyGraph.GetXaxis().SetLabelSize(0.055)
DummyGraph.GetXaxis().SetTitleSize(0.055)
DummyGraph.GetXaxis().SetTitleOffset(1.05)
DummyGraph.GetYaxis().SetLabelSize(0.055)
DummyGraph.GetYaxis().SetTitleSize(0.055)
DummyGraph.GetYaxis().SetTitleOffset(1.3)
DummyGraph.Draw()
plCMS=TPaveLabel(.16,.76,.27,.83,"CMS","NBNDC")
#plCMS.SetTextSize(0.8)
plCMS.SetTextAlign(12)
plCMS.SetTextFont(62)
plCMS.SetFillColor(0)
plCMS.SetBorderSize(0)
plCMS.Draw()
plPrelim=TPaveLabel(.16,.76,.27,.82,"Preliminary","NBNDC")
plPrelim.SetTextSize(0.6)
plPrelim.SetTextAlign(12)
plPrelim.SetTextFont(52)
plPrelim.SetFillColor(0)
plPrelim.SetBorderSize(0)
# plPrelim.Draw()
leg=TLegend(0.420517,0.7,0.85,0.878644,"","brNDC")
legWidth=TLegend(0.625,0.5,0.9,0.7,"width","brNDC")
# leg=TLegend(0.55,0.55,0.87,0.87,"","brNDC")
leg.SetTextSize(0.0425)
legWidth.SetTextSize(0.0425)
colors = {'01':ROOT.kBlue,'03':ROOT.kRed,'05':ROOT.kGreen+3,'10':ROOT.kOrange}
# for width in sorted(obsLimits):
# obsGraph = obsLimits[width]
# if colors.has_key(width):
# obsGraph.SetLineColor(colors[width])
# obsGraph.Draw("lsame")
# if width == '0.006':
# leg.AddEntry(obsGraph,"Observed 95% CL limit width 0.6%","l")
# else:
# leg.AddEntry(obsGraph,"Observed 95%% CL limit width %d%%"%int(width),"l")
#
# for width in sorted(expLimits):
# expGraph = expLimits[width]
# if colors.has_key(width):
# expGraph.SetLineColor(colors[width])
# expGraph.Draw("lsame")
# if width == '0.006':
# leg.AddEntry(expGraph,"Expected 95% CL limit width 0.6%, median","l")
# else:
# leg.AddEntry(expGraph,"Expected 95%% CL limit width %d%%, median"%(int(width)),"l")
for width in sorted(obsLimits):
obsGraph = obsLimits[width]
if colors.has_key(width):
obsGraph.SetLineColor(colors[width])
obsGraph.Draw("lsame")
if width == '0.006':
leg.AddEntry(obsGraph,"Obs. 95% CL limit","l")
for width in sorted(expLimits):
expGraph = expLimits[width]
if colors.has_key(width):
expGraph.SetLineColor(colors[width])
expGraph.Draw("lsame")
if width == '0.006':
leg.AddEntry(expGraph,"Exp. 95% CL limit, median","l")
for width in sorted(obsLimits):
obsGraph = obsLimits[width]
if colors.has_key(width):
obsGraph.SetLineColor(colors[width])
if width == '0.006':
legWidth.AddEntry(obsGraph,"0.6%","l")
else:
legWidth.AddEntry(obsGraph,"%d%%"%int(width),"l")
if not SPIN2:
GraphZPrimeSmooth.Draw("lsame")
GraphZPrimePsiSmooth.Draw("lsame")
leg1=TLegend(0.625,0.35,0.825,0.5,"","brNDC")
leg1.SetTextSize(0.0375)
leg1.AddEntry(GraphZPrimeSmooth,"Z'_{SSM} (width 2.97%)","l")
leg1.AddEntry(GraphZPrimePsiSmooth,"Z'_{#Psi} (width 0.53%)","l")
leg1.SetLineWidth(0)
leg1.SetLineStyle(0)
leg1.SetLineColor(0)
leg1.SetFillStyle(0)
leg1.SetBorderSize(0)
leg1.Draw()
cCL.SetTickx(1)
cCL.SetTicky(1)
cCL.RedrawAxis()
cCL.Update()
#plCMS.Draw()
plotPad.SetTicks(1,1)
plotPad.RedrawAxis()
leg.SetLineWidth(0)
leg.SetLineStyle(0)
leg.SetLineColor(0)
leg.Draw("hist")
legWidth.SetLineWidth(0)
legWidth.SetLineStyle(0)
legWidth.SetLineColor(0)
legWidth.SetFillStyle(0)
legWidth.SetNColumns(2)
legWidth.Draw("hist")
if "Moriond" in output:
if (chan=="mumu"):
plLumi=TPaveLabel(.65,.885,.9,.99,"36.3 fb^{-1} (13 TeV, #mu^{+}#mu^{-})","NBNDC")
elif (chan=="elel"):
plLumi=TPaveLabel(.65,.885,.9,.99,"35.9 fb^{-1} (13 TeV, ee)","NBNDC")
elif (chan=="elmu"):
plLumi=TPaveLabel(.27,.885,.9,.99,"35.9 fb^{-1} (13 TeV, ee) + 36.3 fb^{-1} (13 TeV, #mu^{+}#mu^{-})","NBNDC")
else:
if (chan=="mumu"):
plLumi=TPaveLabel(.65,.905,.9,.99,"13.0 fb^{-1} (13 TeV, #mu#mu)","NBNDC")
elif (chan=="elel"):
plLumi=TPaveLabel(.65,.905,.9,.99,"2.7 fb^{-1} (13 TeV, ee)","NBNDC")
elif (chan=="elmu"):
plLumi=TPaveLabel(.4,.905,.9,.99,"12.4 fb^{-1} (13 TeV, ee) + 13.0 fb^{-1} (13 TeV, #mu#mu)","NBNDC")
plLumi.SetTextSize(0.5)
plLumi.SetTextFont(42)
plLumi.SetFillColor(0)
plLumi.SetBorderSize(0)
plLumi.Draw()
plotPad.RedrawAxis()
for width in sorted(obsLimits):
obsGraph = obsLimits[width]
obsGraph.SetName("graphObs%s"%width)
obsGraph.Write("graphObs%s"%width)
for width in sorted(expLimits):
expGraph = expLimits[width]
expGraph.SetName("graphExp%s"%width)
expGraph.Write("graphExp%s"%width)
fileForHEPData.Write()
fileForHEPData.Close()
cCL.Update()
printPlots(cCL,output)
def MakeOneHist(varXaxis, varConst, xvalues, constval):
if len(xvalues)<=1:
return # Do not make plot if there is only 1 xvalue
Legend = TLegend()
Legend.SetBorderSize(0)
Legend.SetFillColor(0)
Legend.SetFillStyle(0)
Canvas = TCanvas("sigEff_"+varConst+str(constval)+"_vs_"+varXaxis)
Histograms = []
LegendEntries = []
colorIndex = 0
for source in input_sources: # loop over different input sources in config file
# print "Debug: running over input_source from: ", source['condor_dir'], " for varXaxis=", varXaxis, ", varConst=", varConst
# Create histogram of efficiencies with appropriate binning
xAxisBins = array('d')
xBinWidth = xvalues[1] - xvalues[0]
for xval in xvalues:
xAxisBins.append(xval - xBinWidth/2.0)
xAxisBins.append(xvalues[-1] + xBinWidth/2.0) # add an extra bin boundary for the last bin.
Histogram = TH1F("Histogram", ";x title;signal efficiency", len(xvalues), xAxisBins)
Histogram.SetDirectory(0)
# Now fill the histogram of efficiencies:
for xval in xvalues:
if varXaxis=="mass" and varConst=="lifetime":
mass = xval
lifetime = constval
elif varXaxis=="lifetime" and varConst=="mass":
lifetime = xval
mass = constval
else:
print "Unrecognized value of varXaxis=", varXaxis
return
dataset_file = "condor/%s/%s.root" % (source['condor_dir'],dataset)
dataset_file = dataset_file.replace("MASS", str(mass))
dataset_file = dataset_file.replace("LIFETIME", str(lifetime))
inputFile = TFile(dataset_file)
HistCutflow = inputFile.Get("OSUAnalysis/" + source['channel'] + "CutFlow")
if not HistCutflow:
print "WARNING: Could not find histogram OSUAnalysis/" + source['channel'] + "CutFlow in file " + dataset_file + ". Will skip it and continue."
return
# calculate efficiency
nbinsCutflow = HistCutflow.GetNbinsX()
if arguments.xsecFile:
xsec = float(signal_cross_sections[str(mass)]['value'])
denom = xsec * intLumi
else:
denom = HistCutflow.GetBinContent(1) # denominator is the first entry in the cutflow histogram
eff = HistCutflow.GetBinContent(nbinsCutflow) / denom
effErr = HistCutflow.GetBinError (nbinsCutflow) / denom
ibin = Histogram.FindBin(xval)
Histogram.SetBinContent(ibin, eff)
Histogram.SetBinError (ibin, effErr)
print "Setting bin content for varConst = ", varConst, " = ", constval, " in ibin=", ibin, ", xval=", xval, ", eff=", eff, " +- ", effErr, ", fractional error =", effErr/eff, " numerator = ", HistCutflow.GetBinContent(nbinsCutflow), " denom = ", denom, " from file: ", dataset_file
inputFile.Close()
if varXaxis=="mass":
xAxisLabel = "chargino mass [GeV]"
elif varXaxis=="lifetime":
xAxisLabel = "chargino c#tau [cm]"
else:
print "Unrecognized value of varXaxis=", varXaxis
return
yAxisLabel = "efficiency"
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.SetMarkerSize(1)
# Histogram.SetLineWidth(line_width)
Histogram.SetFillStyle(0)
LegendEntries.append(source['legend_entry'])
Histograms.append(Histogram)
# Finish loop over input_sources
# formatting histograms and adding to legend
legendIndex = 0
for histogram in Histograms:
# print "Adding entry to legend: ", LegendEntries[legendIndex]
# Legend.AddEntry(histogram,LegendEntries[legendIndex],"LEP")
Legend.AddEntry(histogram,LegendEntries[legendIndex],"P")
legendIndex = legendIndex+1
# finding the maximum value of anything going on the canvas, so we know how to set the y-axis
finalMax = 0
for histogram in Histograms:
# currentMax = histogram.GetMaximum() + histogram.GetBinError(histogram.GetMaximumBin())
currentMax = histogram.GetMaximum()
if(currentMax > finalMax):
finalMax = currentMax
finalMax = 1.5*finalMax
if finalMax is 0:
finalMax = 1
## if arguments.setYMax:
## finalMax = float(arguments.setYMax)
# Drawing histograms to canvas
makeRatioPlots = arguments.makeRatioPlots
makeDiffPlots = arguments.makeDiffPlots
yAxisMin = 0.0
## 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 = "pe, x0" # x0 suppresses the error bar along x
## if arguments.plot_hist:
## plotting_options = "HIST"
for histogram in Histograms:
# histogram.SetTitle(histoTitle)
histogram.Draw(plotting_options)
histogram.GetXaxis().SetTitle(xAxisLabel)
histogram.GetYaxis().SetTitle(yAxisLabel)
if histogram.InheritsFrom("TH1"):
histogram.SetMaximum(finalMax)
histogram.SetMinimum(yAxisMin)
if makeRatioPlots or makeDiffPlots:
histogram.GetXaxis().SetLabelSize(0)
if histCounter is 0:
if histogram.InheritsFrom("TH1"):
plotting_options = plotting_options + " SAME"
elif histogram.InheritsFrom("TGraph"):
plotting_options = "P"
histCounter = histCounter + 1
x_left = 0.15
x_right = 0.55
y_min = 0.6
y_max = 0.8
Legend.SetX1NDC(x_left)
Legend.SetY1NDC(y_min)
Legend.SetX2NDC(x_right)
Legend.SetY2NDC(y_max)
Legend.Draw()
customText = "chargino " + varConst + " " + str(constval)
if varConst == "mass":
customText += " GeV"
elif varConst == "lifetime":
customText += " cm"
customText = customText.replace("lifetime", "c#tau")
CustomLabel = TPaveLabel(x_left, 0.8, x_right, 0.9, customText, "NDC")
CustomLabel.SetBorderSize(0)
CustomLabel.SetFillColor(0)
CustomLabel.SetFillStyle(0)
CustomLabel.Draw()
#drawing the ratio or difference plot if requested
if makeRatioPlots or makeDiffPlots:
Canvas.cd(2)
if makeRatioPlots:
# Comparison = ratioHistogram(Histograms[0],Histograms[1], 1000)
Comparison = Histograms[0].Clone()
Comparison.Divide(Histograms[1])
Comparison.GetYaxis().SetTitle("ratio")
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)
Comparison.GetYaxis().SetRangeUser(0.7, 1.3)
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")
Comparison.Draw("PE, X0") # X0 suppresses error bar in x direction
outputFile.cd()
Canvas.Write()
if arguments.savePDFs:
Canvas.SaveAs("efficiency_histograms_pdfs/"+histogramName+".pdf")
def MakeOneDHist(histogramName,integrateDir):
HeaderLabel = TPaveLabel(header_x_left,header_y_bottom,header_x_right,header_y_top,HeaderText,"NDC")
HeaderLabel.SetTextAlign(32)
HeaderLabel.SetBorderSize(0)
HeaderLabel.SetFillColor(0)
HeaderLabel.SetFillStyle(0)
LumiLabel = TPaveLabel(topLeft_x_left,topLeft_y_bottom,topLeft_x_right,topLeft_y_top,LumiText,"NDC")
LumiLabel.SetBorderSize(0)
LumiLabel.SetFillColor(0)
LumiLabel.SetFillStyle(0)
NormLabel = TPaveLabel()
NormLabel.SetDrawOption("NDC")
NormLabel.SetX1NDC(topLeft_x_left)
NormLabel.SetX2NDC(topLeft_x_right)
NormLabel.SetBorderSize(0)
NormLabel.SetFillColor(0)
NormLabel.SetFillStyle(0)
NormText = ""
if arguments.normalizeToUnitArea:
NormText = "Scaled to unit area"
Legend = TLegend()
Legend.SetBorderSize(0)
Legend.SetFillColor(0)
Legend.SetFillStyle(0)
canvasName = histogramName
if integrateDir is "left":
canvasName += "_CumulativeLeft"
elif integrateDir is "right":
canvasName += "_CumulativeRight"
Canvas = TCanvas(canvasName)
Histograms = []
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)
if arguments.generic:
HistogramObj = inputFile.Get(source['channel'] + "/" +histogramName)
else:
HistogramObj = inputFile.Get("OSUAnalysis/" + source['channel'] + "/" +histogramName)
if not HistogramObj:
print "WARNING: Could not find histogram " + source['channel'] + "/" + histogramName + " in file " + dataset_file + ". Will skip it and continue."
return
Histogram = HistogramObj.Clone()
Histogram.SetDirectory(0)
inputFile.Close()
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:
Histogram.Rebin(RebinFactor)
xAxisLabel = Histogram.GetXaxis().GetTitle()
unitBeginIndex = xAxisLabel.find("[")
unitEndIndex = xAxisLabel.find("]")
xAxisLabelVar = xAxisLabel
if unitBeginIndex is not -1 and unitEndIndex is not -1: #x axis has a unit
yAxisLabel = "Entries / " + str(Histogram.GetXaxis().GetBinWidth(1)) + " " + xAxisLabel[unitBeginIndex+1:unitEndIndex]
xAxisLabelVar = xAxisLabel[0:unitBeginIndex]
else:
yAxisLabel = "Entries per bin (" + str(Histogram.GetXaxis().GetBinWidth(1)) + " width)"
if arguments.normalizeToUnitArea:
yAxisLabel = yAxisLabel + " (Unit Area Norm.)"
if arguments.normalizeToUnitArea and arguments.makeSignificancePlots:
unit = "Efficiency"
else:
unit = "Yield"
if integrateDir is "left":
yAxisLabel = unit + ", " + xAxisLabelVar + "< x (" + str(Histogram.GetXaxis().GetBinWidth(1)) + " bin width)"
if integrateDir is "right":
yAxisLabel = unit + ", " + xAxisLabelVar + "> x (" + str(Histogram.GetXaxis().GetBinWidth(1)) + " bin width)"
if not arguments.makeFancy and not arguments.generic:
fullTitle = Histogram.GetTitle()
splitTitle = fullTitle.split(":")
# print splitTitle
histoTitle = splitTitle[1].lstrip(" ")
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)
if arguments.normalizeToUnitArea and Histogram.Integral() > 0:
Histogram.Scale(1./Histogram.Integral())
Histogram = MakeIntegralHist(Histogram, integrateDir)
LegendEntries.append(source['legend_entry'])
Histograms.append(Histogram)
### 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 = 0
for histogram in Histograms:
currentMax = histogram.GetMaximum() + histogram.GetBinError(histogram.GetMaximumBin())
if(currentMax > finalMax):
finalMax = currentMax
finalMax = 1.5*finalMax
if arguments.setYMax:
finalMax = float(arguments.setYMax)
### Drawing histograms to canvas
makeRatioPlots = arguments.makeRatioPlots
makeDiffPlots = arguments.makeDiffPlots
#makeSignifPlots = arguments.makeSignificancePlots
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.generic:
plotting_options = "p,e"
if arguments.plot_hist:
plotting_options = "HIST"
for histogram in Histograms:
histogram.SetTitle(histoTitle)
if arguments.verbose:
print "Debug: drawing hist " + histogram.GetName() + ", with plotting_options = " + plotting_options + ", with mean = " + str(histogram.GetMean()) + ", with color = " + str(histogram.GetLineColor())
histogram.Draw(plotting_options)
histogram.GetXaxis().SetTitle(xAxisLabel)
histogram.GetYaxis().SetTitle(yAxisLabel)
histogram.SetMaximum(finalMax)
histogram.SetMinimum(yAxisMin)
if makeRatioPlots or makeDiffPlots:
histogram.GetXaxis().SetLabelSize(0)
if histCounter is 0:
plotting_options = plotting_options + " SAME"
histCounter = histCounter + 1
#legend coordinates, empirically determined :-)
x_left = 0.1677852
x_right = 0.9647651
y_min = 0.6765734
y_max = 0.9
Legend.SetX1NDC(x_left)
Legend.SetY1NDC(y_min)
Legend.SetX2NDC(x_right)
Legend.SetY2NDC(y_max)
Legend.Draw()
# Deciding which text labels to draw and drawing them
drawHeaderLabel = False
if arguments.makeFancy:
drawHeaderLabel = True
#now that flags are set, draw the appropriate labels
if drawHeaderLabel:
HeaderLabel.Draw()
#drawing the ratio or difference plot if requested
if makeRatioPlots or makeDiffPlots:
Canvas.cd(2)
if makeRatioPlots:
if arguments.ratioRelErrMax:
Comparison = ratioHistogram(Histograms[0],Histograms[1],float(arguments.ratioRelErrMax))
else:
Comparison = ratioHistogram(Histograms[0],Histograms[1])
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)
Comparison.GetYaxis().SetRangeUser(-1*RatioYRange, RatioYRange)
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()
Canvas.Write()
if arguments.savePDFs:
Canvas.SaveAs("comparison_histograms_pdfs/"+histogramName+".pdf")
