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lantonel |
1.1 |
#!/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 math import *
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from array import *
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from decimal import *
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from optparse import OptionParser
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from OSUT3Analysis.Configuration.configurationOptions import *
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from OSUT3Analysis.Configuration.processingUtilities import *
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from OSUT3Analysis.Configuration.formattingUtilities import *
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### parse the command-line 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("-e")
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parser.remove_option("-n")
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parser.remove_option("--2D")
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parser.remove_option("-y")
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parser.add_option("-f", "--fancy", action="store_true", dest="makeFancy", default=False,
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help="removes the title and replaces it with the official CMS plot heading")
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parser.add_option("--dontRebinRatio", action="store_true", dest="dontRebinRatio", default=False,
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help="don't do the rebinning of ratio plots")
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parser.add_option("--ylog", action="store_true", dest="setLogY", default=False,
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help="Set logarithmic scale on vertical axis on all plots")
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parser.add_option("--ymin", dest="setYMin",
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help="Minimum of y axis")
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parser.add_option("--ymax", dest="setYMax",
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help="Maximum of y axis")
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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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(arguments, args) = parser.parse_args()
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if arguments.localConfig:
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sys.path.append(os.getcwd())
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exec("from " + arguments.localConfig.rstrip('.py') + " import *")
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#### deal with conflicting arguments
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if arguments.makeRatioPlots or arguments.makeDiffPlots:
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if len(input_sources) is not 2:
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print "You need to have exactly two input sources to produce ratio or difference plots, turning them off"
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arguments.makeRatioPlots = False
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arguments.makeDiffPlots = False
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if arguments.makeRatioPlots and arguments.makeDiffPlots:
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print "You have requested both ratio and difference plots. Will make just ratio plots instead"
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arguments.makeRatioPlots = False
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lantonel |
1.2 |
from ROOT import TFile, gROOT, gStyle, gDirectory, TStyle, TH1F, TCanvas, TString, TLegend, TLegendEntry, TIter, TKey, TPaveLabel, gPad
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lantonel |
1.1 |
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### setting ROOT options so our plots will look awesome and everyone will love us
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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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gStyle.SetCanvasDefH(600)
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gStyle.SetCanvasDefW(600)
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gStyle.SetCanvasDefX(0)
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gStyle.SetCanvasDefY(0)
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gStyle.SetPadTopMargin(0.07)
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gStyle.SetPadBottomMargin(0.13)
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gStyle.SetPadLeftMargin(0.15)
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gStyle.SetPadRightMargin(0.05)
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gStyle.SetTitleColor(1, "XYZ")
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gStyle.SetTitleFont(42, "XYZ")
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gStyle.SetTitleSize(0.04, "XYZ")
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gStyle.SetTitleXOffset(1.1)
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gStyle.SetTitleYOffset(2)
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gStyle.SetTextAlign(12)
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gStyle.SetLabelColor(1, "XYZ")
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gStyle.SetLabelFont(42, "XYZ")
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gStyle.SetLabelOffset(0.007, "XYZ")
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gStyle.SetLabelSize(0.04, "XYZ")
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gStyle.SetAxisColor(1, "XYZ")
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gStyle.SetStripDecimals(True)
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gStyle.SetTickLength(0.03, "XYZ")
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gStyle.SetNdivisions(510, "XYZ")
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gStyle.SetPadTickX(1)
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gStyle.SetPadTickY(1)
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gROOT.ForceStyle()
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line_width = 2
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if arguments.line_width:
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line_width = arguments.line_width
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#set the text for the luminosity label
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if(intLumi < 1000.):
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LumiText = "L_{int} = " + str(intLumi) + " pb^{-1}"
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LumiText = "L_{int} = " + str.format('{0:.1f}', LumiInPb) + " pb^{-1}"
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else:
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LumiInFb = intLumi/1000.
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LumiText = "L_{int} = " + str.format('{0:.1f}', LumiInFb) + " fb^{-1}"
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#bestest place for lumi. label, in top left corner
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topLeft_x_left = 0.1375839
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topLeft_x_right = 0.4580537
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topLeft_y_bottom = 0.8479021
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topLeft_y_top = 0.9475524
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topLeft_y_offset = 0.035
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#set the text for the fancy heading
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HeaderText = "CMS Preliminary: " + LumiText + " at #sqrt{s} = 8 TeV"
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#position for header
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header_x_left = 0.2181208
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header_x_right = 0.9562937
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header_y_bottom = 0.9479866
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header_y_top = 0.9947552
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colors = {
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'black' : 1,
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'red' : 623,
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'green' : 407,
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'purple' : 871,
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'blue' : 591,
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'yellow' : 393,
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}
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colorList = [
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'black',
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'red',
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'green',
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'purple',
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'blue',
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'yellow',
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]
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markers = {
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'circle' : 20,
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'square' : 21,
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'triangle' : 22,
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}
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fills = {
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'solid' : 0,
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'hollow' : 4,
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}
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##########################################################################################################################################
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##########################################################################################################################################
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##########################################################################################################################################
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# some fancy-ass code from Andrzej Zuranski to merge bins in the ratio plot until the error goes below some threshold
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def ratioHistogram( dataHist, mcHist, relErrMax=0.10):
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def groupR(group):
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Data,MC = [float(sum(hist.GetBinContent(i) for i in group)) for hist in [dataHist,mcHist]]
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return (Data-MC)/MC if MC else 0
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def groupErr(group):
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Data,MC = [float(sum(hist.GetBinContent(i) for i in group)) for hist in [dataHist,mcHist]]
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dataErr2,mcErr2 = [sum(hist.GetBinError(i)**2 for i in group) for hist in [dataHist,mcHist]]
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if MC > 0 and Data > 0 and Data != MC:
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return abs(math.sqrt( (dataErr2+mcErr2)/(Data-MC)**2 + mcErr2/MC**2 ) * (Data-MC)/MC)
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else:
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return 0
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def regroup(groups):
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err,iG = max( (groupErr(g),groups.index(g)) for g in groups )
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if err < relErrMax or len(groups)<3 : return groups
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iH = max( [iG-1,iG+1], key = lambda i: groupErr(groups[i]) if 0<=i<len(groups) else -1 )
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iLo,iHi = sorted([iG,iH])
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return regroup(groups[:iLo] + [groups[iLo]+groups[iHi]] + groups[iHi+1:])
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#don't rebin the histograms of the number of a given object (except for the pileup ones)
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if ((dataHist.GetName().find("num") is not -1 and dataHist.GetName().find("Primaryvertexs") is -1) or
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dataHist.GetName().find("CutFlow") is not -1 or
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dataHist.GetName().find("GenMatch") is not -1 or
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arguments.dontRebinRatio):
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ratio = dataHist.Clone()
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ratio.Add(mcHist,-1)
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ratio.Divide(mcHist)
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ratio.SetTitle("")
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else:
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groups = regroup( [(i,) for i in range(1,1+dataHist.GetNbinsX())] )
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ratio = TH1F("ratio","",len(groups), array('d', [dataHist.GetBinLowEdge(min(g)) for g in groups ] + [dataHist.GetXaxis().GetBinUpEdge(dataHist.GetNbinsX())]) )
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for i,g in enumerate(groups) :
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ratio.SetBinContent(i+1,groupR(g))
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ratio.SetBinError(i+1,groupErr(g))
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ratio.GetYaxis().SetTitle("#frac{hist1-hist2}{hist2}")
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ratio.GetXaxis().SetLabelOffset(0.03)
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ratio.SetLineColor(1)
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ratio.SetMarkerColor(1)
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ratio.SetLineWidth(2)
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return ratio
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##########################################################################################################################################
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##########################################################################################################################################
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##########################################################################################################################################
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def MakeOneDHist(histogramName):
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HeaderLabel = TPaveLabel(header_x_left,header_y_bottom,header_x_right,header_y_top,HeaderText,"NDC")
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HeaderLabel.SetTextAlign(32)
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HeaderLabel.SetBorderSize(0)
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HeaderLabel.SetFillColor(0)
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HeaderLabel.SetFillStyle(0)
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LumiLabel = TPaveLabel(topLeft_x_left,topLeft_y_bottom,topLeft_x_right,topLeft_y_top,LumiText,"NDC")
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LumiLabel.SetBorderSize(0)
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LumiLabel.SetFillColor(0)
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LumiLabel.SetFillStyle(0)
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NormLabel = TPaveLabel()
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NormLabel.SetDrawOption("NDC")
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NormLabel.SetX1NDC(topLeft_x_left)
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NormLabel.SetX2NDC(topLeft_x_right)
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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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NormText = ""
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if arguments.normalizeToUnitArea:
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NormText = "Scaled to unit area"
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Legend = TLegend()
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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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Canvas = TCanvas(histogramName)
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Histograms = []
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LegendEntries = []
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colorIndex = 0
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for source in input_sources: # loop over different input sources in config file
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dataset_file = "condor/%s/%s.root" % (source['condor_dir'],source['dataset'])
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inputFile = TFile(dataset_file)
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NumHistogramObj = inputFile.Get("OSUAnalysis/" + source['num_channel'] + "/" +histogramName)
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DenHistogramObj = inputFile.Get("OSUAnalysis/" + source['den_channel'] + "/" +histogramName)
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if not NumHistogramObj:
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print "WARNING: Could not find histogram " + source['num_channel'] + "/" + histogramName + " in file " + dataset_file + ". Will skip it and continue."
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return
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if not DenHistogramObj:
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print "WARNING: Could not find histogram " + source['den_channel'] + "/" + histogramName + " in file " + dataset_file + ". Will skip it and continue."
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return
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Histogram = NumHistogramObj.Clone()
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Histogram.SetDirectory(0)
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DenHistogram = DenHistogramObj.Clone()
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DenHistogram.SetDirectory(0)
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inputFile.Close()
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if arguments.rebinFactor:
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RebinFactor = int(arguments.rebinFactor)
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#don't rebin histograms which will have less than 5 bins or any gen-matching histograms
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if Histogram.GetNbinsX() >= RebinFactor*5 and Histogram.GetTitle().find("GenMatch") is -1:
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Histogram.Rebin(RebinFactor)
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DenHistogram.Rebin(RebinFactor)
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Histogram.Divide(DenHistogram)
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xAxisLabel = Histogram.GetXaxis().GetTitle()
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unitBeginIndex = xAxisLabel.find("[")
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unitEndIndex = xAxisLabel.find("]")
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if unitBeginIndex is not -1 and unitEndIndex is not -1: #x axis has a unit
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lantonel |
1.2 |
yAxisLabel = "#epsilon_{ " + cutName + "} (" + str(Histogram.GetXaxis().GetBinWidth(1)) + " " + xAxisLabel[unitBeginIndex+1:unitEndIndex] + " width)"
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lantonel |
1.1 |
else:
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lantonel |
1.2 |
yAxisLabel = "#epsilon_{ " + cutName + "} (" + str(Histogram.GetXaxis().GetBinWidth(1)) + " width)"
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lantonel |
1.1 |
if arguments.normalizeToUnitArea:
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yAxisLabel = yAxisLabel + " (Unit Area Norm.)"
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if not arguments.makeFancy:
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fullTitle = Histogram.GetTitle()
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splitTitle = fullTitle.split(":")
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# print splitTitle
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histoTitle = splitTitle[1].lstrip(" ")
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else:
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histoTitle = ""
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if 'color' in source:
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Histogram.SetMarkerColor(colors[source['color']])
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Histogram.SetLineColor(colors[source['color']])
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else:
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Histogram.SetMarkerColor(colors[colorList[colorIndex]])
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Histogram.SetLineColor(colors[colorList[colorIndex]])
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colorIndex = colorIndex + 1
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if colorIndex is len(colorList):
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colorIndex = 0
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markerStyle = 20
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if 'marker' in source:
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markerStyle = markers[source['marker']]
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if 'fill' in source:
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markerStyle = markerStyle + fills[source['fill']]
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Histogram.SetMarkerStyle(markerStyle)
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Histogram.SetLineWidth(line_width)
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Histogram.SetFillStyle(0)
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LegendEntries.append(source['legend_entry'])
|
| 323 |
|
|
Histograms.append(Histogram)
|
| 324 |
|
|
|
| 325 |
|
|
### scaling histograms as per user's specifications
|
| 326 |
|
|
for histogram in Histograms:
|
| 327 |
|
|
if arguments.normalizeToUnitArea and histogram.Integral() > 0:
|
| 328 |
|
|
histogram.Scale(1./histogram.Integral())
|
| 329 |
|
|
|
| 330 |
|
|
|
| 331 |
|
|
### formatting histograms and adding to legend
|
| 332 |
|
|
legendIndex = 0
|
| 333 |
|
|
for histogram in Histograms:
|
| 334 |
|
|
Legend.AddEntry(histogram,LegendEntries[legendIndex],"LEP")
|
| 335 |
|
|
legendIndex = legendIndex+1
|
| 336 |
|
|
|
| 337 |
|
|
### finding the maximum value of anything going on the canvas, so we know how to set the y-axis
|
| 338 |
|
|
finalMax = 0
|
| 339 |
|
|
for histogram in Histograms:
|
| 340 |
|
|
currentMax = histogram.GetMaximum() + histogram.GetBinError(histogram.GetMaximumBin())
|
| 341 |
|
|
if(currentMax > finalMax):
|
| 342 |
|
|
finalMax = currentMax
|
| 343 |
|
|
finalMax = 1.5*finalMax
|
| 344 |
|
|
if finalMax is 0:
|
| 345 |
|
|
finalMax = 1
|
| 346 |
|
|
if arguments.setYMax:
|
| 347 |
|
|
finalMax = float(arguments.setYMax)
|
| 348 |
|
|
|
| 349 |
|
|
### Drawing histograms to canvas
|
| 350 |
|
|
|
| 351 |
|
|
makeRatioPlots = arguments.makeRatioPlots
|
| 352 |
|
|
makeDiffPlots = arguments.makeDiffPlots
|
| 353 |
|
|
|
| 354 |
|
|
yAxisMin = 0.0001
|
| 355 |
|
|
if arguments.setYMin:
|
| 356 |
|
|
yAxisMin = float(arguments.setYMin)
|
| 357 |
|
|
|
| 358 |
|
|
if makeRatioPlots or makeDiffPlots:
|
| 359 |
|
|
Canvas.SetFillStyle(0)
|
| 360 |
|
|
Canvas.Divide(1,2)
|
| 361 |
|
|
Canvas.cd(1)
|
| 362 |
|
|
gPad.SetPad(0,0.25,1,1)
|
| 363 |
|
|
gPad.SetMargin(0.15,0.05,0.01,0.07)
|
| 364 |
|
|
gPad.SetFillStyle(0)
|
| 365 |
|
|
gPad.Update()
|
| 366 |
|
|
gPad.Draw()
|
| 367 |
|
|
if arguments.setLogY:
|
| 368 |
|
|
gPad.SetLogy()
|
| 369 |
|
|
Canvas.cd(2)
|
| 370 |
|
|
gPad.SetPad(0,0,1,0.25)
|
| 371 |
|
|
#format: gPad.SetMargin(l,r,b,t)
|
| 372 |
|
|
gPad.SetMargin(0.15,0.05,0.4,0.01)
|
| 373 |
|
|
gPad.SetFillStyle(0)
|
| 374 |
|
|
gPad.SetGridy(1)
|
| 375 |
|
|
gPad.Update()
|
| 376 |
|
|
gPad.Draw()
|
| 377 |
|
|
|
| 378 |
|
|
Canvas.cd(1)
|
| 379 |
|
|
|
| 380 |
|
|
histCounter = 0
|
| 381 |
|
|
plotting_options = ""
|
| 382 |
|
|
if arguments.plot_hist:
|
| 383 |
|
|
plotting_options = "HIST"
|
| 384 |
|
|
|
| 385 |
|
|
for histogram in Histograms:
|
| 386 |
|
|
histogram.SetTitle(histoTitle)
|
| 387 |
|
|
histogram.Draw(plotting_options)
|
| 388 |
|
|
histogram.GetXaxis().SetTitle(xAxisLabel)
|
| 389 |
|
|
histogram.GetYaxis().SetTitle(yAxisLabel)
|
| 390 |
|
|
histogram.SetMaximum(finalMax)
|
| 391 |
|
|
histogram.SetMinimum(yAxisMin)
|
| 392 |
|
|
if makeRatioPlots or makeDiffPlots:
|
| 393 |
|
|
histogram.GetXaxis().SetLabelSize(0)
|
| 394 |
|
|
if histCounter is 0:
|
| 395 |
|
|
plotting_options = plotting_options + " SAME"
|
| 396 |
|
|
histCounter = histCounter + 1
|
| 397 |
|
|
|
| 398 |
|
|
#legend coordinates, empirically determined :-)
|
| 399 |
|
|
|
| 400 |
|
|
x_left = 0.1677852
|
| 401 |
|
|
x_right = 0.9647651
|
| 402 |
|
|
y_min = 0.6765734
|
| 403 |
|
|
y_max = 0.9
|
| 404 |
|
|
|
| 405 |
|
|
Legend.SetX1NDC(x_left)
|
| 406 |
|
|
Legend.SetY1NDC(y_min)
|
| 407 |
|
|
Legend.SetX2NDC(x_right)
|
| 408 |
|
|
Legend.SetY2NDC(y_max)
|
| 409 |
|
|
Legend.Draw()
|
| 410 |
|
|
|
| 411 |
|
|
|
| 412 |
|
|
# Deciding which text labels to draw and drawing them
|
| 413 |
|
|
drawHeaderLabel = False
|
| 414 |
|
|
|
| 415 |
|
|
if arguments.makeFancy:
|
| 416 |
|
|
drawHeaderLabel = True
|
| 417 |
|
|
|
| 418 |
|
|
#now that flags are set, draw the appropriate labels
|
| 419 |
|
|
|
| 420 |
|
|
if drawHeaderLabel:
|
| 421 |
|
|
HeaderLabel.Draw()
|
| 422 |
|
|
|
| 423 |
|
|
|
| 424 |
|
|
|
| 425 |
|
|
|
| 426 |
|
|
#drawing the ratio or difference plot if requested
|
| 427 |
|
|
|
| 428 |
|
|
if makeRatioPlots or makeDiffPlots:
|
| 429 |
|
|
Canvas.cd(2)
|
| 430 |
|
|
if makeRatioPlots:
|
| 431 |
|
|
Comparison = ratioHistogram(Histograms[0],Histograms[1])
|
| 432 |
|
|
elif makeDiffPlots:
|
| 433 |
|
|
Comparison = Histograms[0].Clone("diff")
|
| 434 |
|
|
Comparison.Add(Histograms[1],-1)
|
| 435 |
|
|
Comparison.SetTitle("")
|
| 436 |
|
|
Comparison.GetYaxis().SetTitle("hist1-hist2")
|
| 437 |
|
|
Comparison.GetXaxis().SetTitle(xAxisLabel)
|
| 438 |
|
|
Comparison.GetYaxis().CenterTitle()
|
| 439 |
|
|
Comparison.GetYaxis().SetTitleSize(0.1)
|
| 440 |
|
|
Comparison.GetYaxis().SetTitleOffset(0.5)
|
| 441 |
|
|
Comparison.GetXaxis().SetTitleSize(0.15)
|
| 442 |
|
|
Comparison.GetYaxis().SetLabelSize(0.1)
|
| 443 |
|
|
Comparison.GetXaxis().SetLabelSize(0.15)
|
| 444 |
|
|
if makeRatioPlots:
|
| 445 |
|
|
RatioYRange = 1.15
|
| 446 |
|
|
if arguments.ratioYRange:
|
| 447 |
|
|
RatioYRange = float(arguments.ratioYRange)
|
| 448 |
|
|
Comparison.GetYaxis().SetRangeUser(-1*RatioYRange, RatioYRange)
|
| 449 |
|
|
elif makeDiffPlots:
|
| 450 |
|
|
YMax = Comparison.GetMaximum()
|
| 451 |
|
|
YMin = Comparison.GetMinimum()
|
| 452 |
|
|
if YMax <= 0 and YMin <= 0:
|
| 453 |
|
|
Comparison.GetYaxis().SetRangeUser(-1.2*YMin,0)
|
| 454 |
|
|
elif YMax >= 0 and YMin >= 0:
|
| 455 |
|
|
Comparison.GetYaxis().SetRangeUser(0,1.2*YMax)
|
| 456 |
|
|
else: #axis crosses y=0
|
| 457 |
|
|
if abs(YMax) > abs(YMin):
|
| 458 |
|
|
Comparison.GetYaxis().SetRangeUser(-1.2*YMax,1.2*YMax)
|
| 459 |
|
|
else:
|
| 460 |
|
|
Comparison.GetYaxis().SetRangeUser(-1.2*YMin,1.2*YMin)
|
| 461 |
|
|
|
| 462 |
|
|
Comparison.GetYaxis().SetNdivisions(205)
|
| 463 |
|
|
Comparison.Draw()
|
| 464 |
|
|
|
| 465 |
|
|
outputFile.cd()
|
| 466 |
|
|
Canvas.Write()
|
| 467 |
|
|
|
| 468 |
|
|
if arguments.savePDFs:
|
| 469 |
|
|
Canvas.SaveAs("efficiency_histograms_pdfs/"+histogramName+".pdf")
|
| 470 |
|
|
|
| 471 |
|
|
|
| 472 |
|
|
##########################################################################################################################################
|
| 473 |
|
|
##########################################################################################################################################
|
| 474 |
|
|
##########################################################################################################################################
|
| 475 |
|
|
|
| 476 |
|
|
|
| 477 |
|
|
#### make output file
|
| 478 |
|
|
outputFileName = "efficiency_histograms.root"
|
| 479 |
|
|
if arguments.outputFileName:
|
| 480 |
|
|
outputFileName = arguments.outputFileName
|
| 481 |
|
|
|
| 482 |
|
|
outputFile = TFile(outputFileName, "RECREATE")
|
| 483 |
|
|
|
| 484 |
|
|
first_input = input_sources[0]
|
| 485 |
|
|
|
| 486 |
|
|
#### use the first input file as a template and make efficiency versions of all its histograms
|
| 487 |
|
|
testFile = TFile("condor/" + first_input['condor_dir'] + "/" + first_input['dataset'] + ".root")
|
| 488 |
|
|
testFile.cd("OSUAnalysis/" + first_input['num_channel'])
|
| 489 |
|
|
|
| 490 |
|
|
if arguments.savePDFs:
|
| 491 |
|
|
os.system("rm -rf efficiency_histograms_pdfs")
|
| 492 |
|
|
os.system("mkdir efficiency_histograms_pdfs")
|
| 493 |
|
|
|
| 494 |
|
|
for key in gDirectory.GetListOfKeys():
|
| 495 |
|
|
if re.match ('TH1', key.GetClassName()): #found a 1D histogram
|
| 496 |
|
|
MakeOneDHist(key.GetName())
|
| 497 |
|
|
|
| 498 |
|
|
testFile.Close()
|
| 499 |
|
|
outputFile.Close()
|
