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#!/usr/bin/env python
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import sys
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import os
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import re
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from optparse import OptionParser
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from array import *
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from decimal import *
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from OSUT3Analysis.Configuration.configurationOptions import *
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from OSUT3Analysis.Configuration.processingUtilities import *
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##set default plotting options
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line_width = 2
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plotting_options = ""
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parser = OptionParser()
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parser = set_commandline_arguments(parser)
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parser.remove_option("-c")
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parser.remove_option("-t")
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parser.remove_option("-n")
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parser.remove_option("-e")
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parser.remove_option("-r")
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parser.remove_option("-d")
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parser.remove_option("--2D")
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parser.add_option("--hist", action="store_true", dest="plot_hist", default=False,
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help="plot as hollow histograms instead of error bar crosses")
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parser.add_option("--line-width", dest="line_width",
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help="set line width (default is 2)")
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parser.add_option("--pdf", action="store_true", dest="plot_savePdf", default=False,
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help="save plot as pdf in addition")
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(arguments, args) = parser.parse_args()
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if arguments.localConfig:
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sys.path.insert(0,os.getcwd())
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exec("from " + arguments.localConfig.rstrip('.py') + " import *")
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outputFileName = "simple_plot.root"
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if arguments.outputFileName:
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outputFileName = arguments.outputFileName
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if arguments.plot_hist:
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plotting_options = plotting_options + "HIST"
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from ROOT import TFile, gROOT, gStyle, gDirectory, TStyle, THStack, TH1F, TCanvas, TString, TLegend, TArrow, THStack, TIter, TKey, TPaveLabel
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sys.argv = []
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gROOT.SetBatch()
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gStyle.SetOptStat(0)
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gStyle.SetCanvasBorderMode(0)
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gStyle.SetPadBorderMode(0)
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gStyle.SetPadColor(0)
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gStyle.SetCanvasColor(0)
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gStyle.SetTextFont(42)
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gROOT.ForceStyle()
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outputFile = TFile(outputFileName, "RECREATE")
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datasets_needed = []
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for histogram in input_histograms:
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if histogram['dataset'] not in datasets_needed:
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datasets_needed.append(histogram['dataset'])
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Legend = TLegend(0.70,0.65,0.9,0.9)
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Legend.SetBorderSize(0)
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Legend.SetFillColor(0)
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Legend.SetFillStyle(0)
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finalMax = 0
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Histograms = []
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for histogram in input_histograms:
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fileName = "condor/" + histogram['condor_dir'] + "/" + histogram['dataset'] + ".root"
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if not os.path.exists(fileName):
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continue
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inputFile = TFile(fileName)
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if inputFile.IsZombie() or not inputFile.GetNkeys():
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continue
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Histogram = inputFile.Get("OSUAnalysis/"+histogram['channel']+"/"+histogram['name']).Clone()
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Histogram.SetDirectory(0)
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inputFile.Close()
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fullTitle = Histogram.GetTitle()
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splitTitle = fullTitle.split(":")
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# print splitTitle
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Histogram.SetTitle(splitTitle[1].lstrip(" "))
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Histogram.SetMarkerColor(histogram['color'])
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Histogram.SetLineColor(histogram['color'])
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Histogram.SetLineWidth(line_width)
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Histogram.SetFillStyle(0)
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if(arguments.normalizeToUnitArea and Histogram.Integral() > 0):
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Histogram.Scale(1./Histogram.Integral())
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if arguments.rebinFactor:
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RebinFactor = int(arguments.rebinFactor)
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if Histogram.GetNbinsX() >= RebinFactor*10:
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Histogram.Rebin(RebinFactor)
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currentMax = Histogram.GetMaximum()
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if currentMax > finalMax:
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finalMax = currentMax
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Legend.AddEntry(Histogram,histogram['legend_entry'],"L")
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Histograms.append(Histogram)
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Canvas = TCanvas(outputFileName.rstrip('.root'))
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counter = 0
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for Histogram in Histograms:
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if counter is 0:
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Histogram.SetMaximum(1.1*finalMax)
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Histogram.SetMinimum(0.0001)
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Histogram.Draw(plotting_options)
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else:
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Histogram.Draw(plotting_options+" SAME")
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counter = counter+1
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Legend.Draw()
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if arguments.normalizeToUnitArea:
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NormLabel = TPaveLabel(0.1,0.75,0.35,0.85,"Scaled to unit area","NDC")
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NormLabel.SetBorderSize(0)
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NormLabel.SetFillColor(0)
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NormLabel.SetFillStyle(0)
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NormLabel.Draw()
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outputFile.cd()
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Canvas.Write()
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if arguments.plot_savePdf:
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pdfFileName = outputFileName.replace(".root", ".pdf")
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Canvas.SaveAs(pdfFileName)
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print "Saved file: " + pdfFileName
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outputFile.Close()
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print "Saved plot in file: " + outputFileName
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