plot_AUC_1D.py File Reference

Namespaces
	plot_AUC_1D

Variables
tuple	plot_AUC_1D.log = logging.getLogger(__name__)
tuple	plot_AUC_1D.parser
string	plot_AUC_1D.help = "input files"
string	plot_AUC_1D.default = "mt"
list	plot_AUC_1D.choices = ["tt", "mt", "et", "em", "mm", "ee"]
tuple	plot_AUC_1D.args = parser.parse_args()
	plot_AUC_1D.outputname = args.score_name
string	plot_AUC_1D.ntuple_string = args.channel+"_jecUncNom/ntuple"
list	plot_AUC_1D.keys = []
dictionary	plot_AUC_1D.TestLeafs = {}
dictionary	plot_AUC_1D.ROCintegral = {}
dictionary	plot_AUC_1D.ROCintegralTrain = {}
list	plot_AUC_1D.y1 = [1.0]
list	plot_AUC_1D.y2 = [1.0]
list	plot_AUC_1D.ymean = [1.0]
list	plot_AUC_1D.y1T = [1.0]
list	plot_AUC_1D.y2T = [1.0]
list	plot_AUC_1D.ymeanT = [1.0]
tuple	plot_AUC_1D.f = ROOT.TFile.Open(TestLeafs[key]+"T%i.root"%(i))
tuple	plot_AUC_1D.hist = f.Get("Method_BDT/BDT_"+TestLeafs[key]+"/MVA_BDT_"+TestLeafs[key]+"_rejBvsS")
tuple	plot_AUC_1D.hist2 = f.Get("Method_BDT/BDT_"+TestLeafs[key]+"/MVA_BDT_"+TestLeafs[key]+"_trainingRejBvsS")
float	plot_AUC_1D.ROCcrossing = 0.0
list	plot_AUC_1D.x_values = [0.0]
tuple	plot_AUC_1D.fig = plt.figure()
tuple	plot_AUC_1D.ax = fig.add_subplot(111, xlabel='signal efficiency', ylabel='background rejection')
tuple	plot_AUC_1D.Output = open(outputname + ".txt","w")
list	plot_AUC_1D.y_values = []
list	plot_AUC_1D.yT_values = []
tuple	plot_AUC_1D.llim = int(args.sublims.split(":")[0])
tuple	plot_AUC_1D.ulim = int(args.sublims.split(":")[1])