| 1 |
#!/usr/bin/env python
|
| 2 |
import sys
|
| 3 |
import os
|
| 4 |
import re
|
| 5 |
from optparse import OptionParser
|
| 6 |
from array import *
|
| 7 |
from decimal import *
|
| 8 |
|
| 9 |
from OSUT3Analysis.Configuration.configurationOptions import *
|
| 10 |
from OSUT3Analysis.Configuration.processingUtilities import *
|
| 11 |
|
| 12 |
|
| 13 |
##set default plotting options
|
| 14 |
line_width = 2
|
| 15 |
plotting_options = ""
|
| 16 |
|
| 17 |
parser = OptionParser()
|
| 18 |
parser = set_commandline_arguments(parser)
|
| 19 |
|
| 20 |
parser.remove_option("-c")
|
| 21 |
parser.remove_option("-n")
|
| 22 |
parser.remove_option("-e")
|
| 23 |
parser.remove_option("-r")
|
| 24 |
parser.remove_option("-d")
|
| 25 |
parser.remove_option("--2D")
|
| 26 |
|
| 27 |
|
| 28 |
parser.add_option("--hist", action="store_true", dest="plot_hist", default=False,
|
| 29 |
help="plot as hollow histograms instead of error bar crosses")
|
| 30 |
parser.add_option("--line-width", dest="line_width",
|
| 31 |
help="set line width (default is 2)")
|
| 32 |
parser.add_option("--pdf", action="store_true", dest="plot_savePdf", default=False,
|
| 33 |
help="save plot as pdf in addition")
|
| 34 |
|
| 35 |
|
| 36 |
(arguments, args) = parser.parse_args()
|
| 37 |
|
| 38 |
if arguments.localConfig:
|
| 39 |
sys.path.insert(0,os.getcwd())
|
| 40 |
exec("from " + arguments.localConfig.rstrip('.py') + " import *")
|
| 41 |
|
| 42 |
|
| 43 |
outputFileName = "simple_plot.root"
|
| 44 |
if arguments.outputFileName:
|
| 45 |
outputFileName = arguments.outputFileName
|
| 46 |
|
| 47 |
|
| 48 |
if arguments.plot_hist:
|
| 49 |
plotting_options = plotting_options + "HIST"
|
| 50 |
|
| 51 |
|
| 52 |
from ROOT import TFile, gROOT, gStyle, gDirectory, TStyle, THStack, TH1F, TCanvas, TString, TLegend, TArrow, THStack, TIter, TKey, TPaveLabel
|
| 53 |
sys.argv = []
|
| 54 |
gROOT.SetBatch()
|
| 55 |
gStyle.SetOptStat(0)
|
| 56 |
gStyle.SetCanvasBorderMode(0)
|
| 57 |
gStyle.SetPadBorderMode(0)
|
| 58 |
gStyle.SetPadColor(0)
|
| 59 |
gStyle.SetCanvasColor(0)
|
| 60 |
gStyle.SetTextFont(42)
|
| 61 |
gROOT.ForceStyle()
|
| 62 |
|
| 63 |
|
| 64 |
outputFile = TFile(outputFileName, "RECREATE")
|
| 65 |
|
| 66 |
datasets_needed = []
|
| 67 |
for histogram in input_histograms:
|
| 68 |
if histogram['dataset'] not in datasets_needed:
|
| 69 |
datasets_needed.append(histogram['dataset'])
|
| 70 |
|
| 71 |
|
| 72 |
Legend = TLegend(0.70,0.65,0.9,0.9)
|
| 73 |
Legend.SetBorderSize(0)
|
| 74 |
Legend.SetFillColor(0)
|
| 75 |
Legend.SetFillStyle(0)
|
| 76 |
|
| 77 |
|
| 78 |
|
| 79 |
finalMax = 0
|
| 80 |
|
| 81 |
Histograms = []
|
| 82 |
for histogram in input_histograms:
|
| 83 |
|
| 84 |
fileName = "condor/" + histogram['condor_dir'] + "/" + histogram['dataset'] + ".root"
|
| 85 |
if not os.path.exists(fileName):
|
| 86 |
continue
|
| 87 |
inputFile = TFile(fileName)
|
| 88 |
if inputFile.IsZombie() or not inputFile.GetNkeys():
|
| 89 |
continue
|
| 90 |
|
| 91 |
Histogram = inputFile.Get("OSUAnalysis/"+histogram['channel']+"/"+histogram['name']).Clone()
|
| 92 |
Histogram.SetDirectory(0)
|
| 93 |
inputFile.Close()
|
| 94 |
|
| 95 |
|
| 96 |
fullTitle = Histogram.GetTitle()
|
| 97 |
splitTitle = fullTitle.split(":")
|
| 98 |
# print splitTitle
|
| 99 |
Histogram.SetTitle(splitTitle[1].lstrip(" "))
|
| 100 |
|
| 101 |
Histogram.SetMarkerColor(histogram['color'])
|
| 102 |
Histogram.SetLineColor(histogram['color'])
|
| 103 |
Histogram.SetLineWidth(line_width)
|
| 104 |
Histogram.SetFillStyle(0)
|
| 105 |
if(arguments.normalizeToUnitArea and Histogram.Integral() > 0):
|
| 106 |
Histogram.Scale(1./Histogram.Integral())
|
| 107 |
if arguments.rebinFactor:
|
| 108 |
RebinFactor = int(arguments.rebinFactor)
|
| 109 |
if Histogram.GetNbinsX() >= RebinFactor*10:
|
| 110 |
Histogram.Rebin(RebinFactor)
|
| 111 |
|
| 112 |
|
| 113 |
currentMax = Histogram.GetMaximum()
|
| 114 |
if currentMax > finalMax:
|
| 115 |
finalMax = currentMax
|
| 116 |
|
| 117 |
Legend.AddEntry(Histogram,histogram['legend_entry'],"L")
|
| 118 |
Histograms.append(Histogram)
|
| 119 |
|
| 120 |
|
| 121 |
Canvas = TCanvas(outputFileName.rstrip('.root'))
|
| 122 |
|
| 123 |
counter = 0
|
| 124 |
for Histogram in Histograms:
|
| 125 |
if counter is 0:
|
| 126 |
Histogram.SetMaximum(1.1*finalMax)
|
| 127 |
Histogram.SetMinimum(0.0001)
|
| 128 |
Histogram.Draw(plotting_options)
|
| 129 |
|
| 130 |
else:
|
| 131 |
Histogram.Draw(plotting_options+" SAME")
|
| 132 |
counter = counter+1
|
| 133 |
|
| 134 |
|
| 135 |
Legend.Draw()
|
| 136 |
if arguments.normalizeToUnitArea:
|
| 137 |
NormLabel = TPaveLabel(0.1,0.75,0.35,0.85,"Scaled to unit area","NDC")
|
| 138 |
NormLabel.SetBorderSize(0)
|
| 139 |
NormLabel.SetFillColor(0)
|
| 140 |
NormLabel.SetFillStyle(0)
|
| 141 |
NormLabel.Draw()
|
| 142 |
|
| 143 |
outputFile.cd()
|
| 144 |
Canvas.Write()
|
| 145 |
|
| 146 |
if arguments.plot_savePdf:
|
| 147 |
pdfFileName = outputFileName.replace(".root", ".pdf")
|
| 148 |
Canvas.SaveAs(pdfFileName)
|
| 149 |
print "Saved file: " + pdfFileName
|
| 150 |
|
| 151 |
|
| 152 |
outputFile.Close()
|
| 153 |
print "Saved plot in file: " + outputFileName
|
