| 1 |
#!/usr/bin/env python
|
| 2 |
import sys
|
| 3 |
import os
|
| 4 |
import re
|
| 5 |
from array import *
|
| 6 |
from decimal import *
|
| 7 |
from optparse import OptionParser
|
| 8 |
from OSUT3Analysis.Configuration.configurationOptions import *
|
| 9 |
from OSUT3Analysis.Configuration.processingUtilities import *
|
| 10 |
|
| 11 |
from ROOT import TFile, gROOT, gStyle, gDirectory, TStyle, THStack, TH1F, TCanvas, TString, TLegend, TArrow, THStack, TIter, TKey, TPaveLabel
|
| 12 |
|
| 13 |
gROOT.SetBatch()
|
| 14 |
gStyle.SetOptStat(0)
|
| 15 |
gStyle.SetCanvasBorderMode(0)
|
| 16 |
gStyle.SetPadBorderMode(0)
|
| 17 |
gStyle.SetPadColor(0)
|
| 18 |
gStyle.SetCanvasColor(0)
|
| 19 |
gStyle.SetTextFont(42)
|
| 20 |
gROOT.ForceStyle()
|
| 21 |
|
| 22 |
|
| 23 |
|
| 24 |
##set default plotting options
|
| 25 |
line_width = 2
|
| 26 |
|
| 27 |
|
| 28 |
parser = OptionParser()
|
| 29 |
parser = set_commandline_arguments(parser)
|
| 30 |
|
| 31 |
(options, args) = parser.parse_args()
|
| 32 |
|
| 33 |
if options.localConfig:
|
| 34 |
sys.path.append(os.getcwd())
|
| 35 |
exec("from " + options.localConfig.rstrip('.py') + " import *")
|
| 36 |
|
| 37 |
outputFileName = "simple_plot.root"
|
| 38 |
if options.outputFileName:
|
| 39 |
outputFileName = options.outputFileName
|
| 40 |
|
| 41 |
|
| 42 |
condor_dir = set_condor_output_dir(options)
|
| 43 |
|
| 44 |
|
| 45 |
if options.normalizeToData and options.normalizeToUnitArea:
|
| 46 |
print "Conflicting normalizations requsted, will normalize to unit area"
|
| 47 |
options.normalizeToData = False
|
| 48 |
if options.normalizeToData and options.noStack:
|
| 49 |
print "You have asked to scale non-stacked backgrounds to data. This is a very strange request. Will normalize to unit area instead"
|
| 50 |
options.normalizeToData = False
|
| 51 |
options.normalizeToUnitArea = True
|
| 52 |
|
| 53 |
|
| 54 |
outputFile = TFile(outputFileName, "RECREATE")
|
| 55 |
|
| 56 |
|
| 57 |
datasets_needed = []
|
| 58 |
for histogram in input_histograms:
|
| 59 |
if histogram['dataset'] not in datasets_needed:
|
| 60 |
datasets_needed.append(histogram['dataset'])
|
| 61 |
|
| 62 |
weight = intLumi / 10000.0
|
| 63 |
for dataset in datasets_needed:
|
| 64 |
dataset_file = "%s/%s.root" % (condor_dir,dataset)
|
| 65 |
if types[dataset] != "data":
|
| 66 |
os.system("mergeTFileServiceHistograms -i %s -o %s -w %g" % (dataset_file, dataset_file + "_tmp", weight))
|
| 67 |
else:
|
| 68 |
os.system("mergeTFileServiceHistograms -i %s -o %s -w %g" % (dataset_file, dataset_file + "_tmp", 1.0))
|
| 69 |
|
| 70 |
|
| 71 |
Legend = TLegend(0.70,0.65,0.9,0.9)
|
| 72 |
Legend.SetBorderSize(0)
|
| 73 |
Legend.SetFillColor(0)
|
| 74 |
Legend.SetFillStyle(0)
|
| 75 |
|
| 76 |
|
| 77 |
|
| 78 |
finalMax = 0
|
| 79 |
|
| 80 |
Histograms = []
|
| 81 |
for histogram in input_histograms:
|
| 82 |
|
| 83 |
fileName = condor_dir + "/" + histogram['dataset'] + ".root"
|
| 84 |
if not os.path.exists(fileName):
|
| 85 |
continue
|
| 86 |
inputFile = TFile(fileName)
|
| 87 |
if inputFile.IsZombie() or not inputFile.GetNkeys():
|
| 88 |
continue
|
| 89 |
|
| 90 |
print "OSUAnalysis/"+histogram['channel']+"/"+histogram['name']
|
| 91 |
Histogram = inputFile.Get("OSUAnalysis/"+histogram['channel']+"/"+histogram['name']).Clone()
|
| 92 |
Histogram.SetDirectory(0)
|
| 93 |
inputFile.Close()
|
| 94 |
|
| 95 |
|
| 96 |
Histogram.SetTitle("")
|
| 97 |
Histogram.SetMarkerColor(histogram['color'])
|
| 98 |
Histogram.SetLineColor(histogram['color'])
|
| 99 |
Histogram.SetLineWidth(line_width)
|
| 100 |
Histogram.SetFillStyle(0)
|
| 101 |
if(options.normalizeToUnitArea and Histogram.Integral() > 0):
|
| 102 |
Histogram.Scale(1./Histogram.Integral())
|
| 103 |
|
| 104 |
currentMax = Histogram.GetMaximum()
|
| 105 |
if currentMax > finalMax:
|
| 106 |
finalMax = currentMax
|
| 107 |
|
| 108 |
Legend.AddEntry(Histogram,histogram['legend_entry'],"L")
|
| 109 |
Histograms.append(Histogram)
|
| 110 |
|
| 111 |
|
| 112 |
Canvas = TCanvas("plot")
|
| 113 |
|
| 114 |
counter = 0
|
| 115 |
for Histogram in Histograms:
|
| 116 |
if counter is 0:
|
| 117 |
Histogram.SetMaximum(1.1*finalMax)
|
| 118 |
Histogram.Draw()
|
| 119 |
|
| 120 |
else:
|
| 121 |
Histogram.Draw("SAME")
|
| 122 |
counter = counter+1
|
| 123 |
|
| 124 |
|
| 125 |
Legend.Draw()
|
| 126 |
if options.normalizeToUnitArea:
|
| 127 |
NormLabel = TPaveLabel(0.1,0.75,0.35,0.85,"Scaled to unit area","NDC")
|
| 128 |
NormLabel.SetBorderSize(0)
|
| 129 |
NormLabel.SetFillColor(0)
|
| 130 |
NormLabel.SetFillStyle(0)
|
| 131 |
NormLabel.Draw()
|
| 132 |
|
| 133 |
outputFile.cd()
|
| 134 |
Canvas.Write()
|
| 135 |
|
| 136 |
|
| 137 |
|
| 138 |
for dataset in datasets_needed:
|
| 139 |
dataset_file = "%s/%s.root_tmp" % (condor_dir,dataset)
|
| 140 |
os.remove(dataset_file)
|
| 141 |
|
| 142 |
outputFile.Close()
|
