def launch_plot(inputFile, outputDirPlots, variables, cuts, samples, plot,
nuisances, legend, groupPlot):
factory = PlotFactory()
factory._tag = opt.tag
factory._energy = opt.energy
factory._lumi = opt.lumi
factory._plotNormalizedDistributions = opt.plotNormalizedDistributions
factory._plotNormalizedIncludeData = opt.plotNormalizedIncludeData
factory._plotNormalizedDistributionsTHstack = opt.plotNormalizedDistributionsTHstack
factory._showIntegralLegend = opt.showIntegralLegend
if opt.onlyPlot is not None:
factory._plotsToWrite = opt.onlyPlot.split(',')
factory._plotLinear = opt.linearOnly or not opt.logOnly
factory._plotLog = opt.logOnly or not opt.linearOnly
factory._scaleToPlot = opt.scaleToPlot
factory._minLogC = opt.minLogC
factory._maxLogC = opt.maxLogC
factory._minLogCratio = opt.minLogCratio
factory._maxLogCratio = opt.maxLogCratio
factory._maxLinearScale = opt.maxLinearScale
factory._minLogCdifference = opt.minLogCratio
factory._maxLogCdifference = opt.maxLogCratio
factory._showRelativeRatio = opt.showRelativeRatio
factory._showDataMinusBkgOnly = opt.showDataMinusBkgOnly
factory._removeWeight = opt.removeWeight
factory._invertXY = opt.invertXY
factory._fileFormats = opt.fileFormats.split(',')
factory._postFit = opt.postFit
factory._removeMCStat = opt.removeMCStat
factory._plotFancy = opt.plotFancy
factory._SkipMissingNuisance = opt.skipMissingNuisance
factory._extraLegend = opt.extraLegend
factory._preliminary = not opt.NoPreliminary
factory._removeAllMC = opt.RemoveAllMC
factory.makePlot(inputFile, outputDirPlots, variables, cuts, samples,
plot, nuisances, legend, groupPlot)
factory._maxLogCratio = opt.maxLogCratio
factory._maxLinearScale = opt.maxLinearScale
factory._minLogCdifference = opt.minLogCratio
factory._maxLogCdifference = opt.maxLogCratio
factory._showRelativeRatio = opt.showRelativeRatio
factory._showDataMinusBkgOnly = opt.showDataMinusBkgOnly
factory._removeWeight = opt.removeWeight
factory._invertXY = opt.invertXY
factory._fileFormats = opt.fileFormats.split(',')
factory._postFit = opt.postFit
#samples = {}
samples = OrderedDict()
if opt.samplesFile == None:
print " Please provide the samples structure (not strictly needed in mkPlot, since list of samples read from plot.py) "
elif os.path.exists(opt.samplesFile):
handle = open(opt.samplesFile, 'r')
exec(handle)
handle.close()
cuts = {}
if os.path.exists(opt.cutsFile):
handle = open(opt.cutsFile, 'r')
exec(handle)
handle.close()
factory._maxLogC = opt.maxLogC
factory._minLogCratio = opt.minLogCratio
factory._maxLogCratio = opt.maxLogCratio
factory._maxLinearScale = opt.maxLinearScale
factory._minLogCdifference = opt.minLogCratio
factory._maxLogCdifference = opt.maxLogCratio
factory._showRelativeRatio = opt.showRelativeRatio
factory._showDataMinusBkgOnly = opt.showDataMinusBkgOnly
factory._removeWeight = opt.removeWeight
factory._invertXY = opt.invertXY
factory._postFit = opt.postFit
#samples = {}
samples = OrderedDict()
if os.path.exists(opt.samplesFile) :
handle = open(opt.samplesFile,'r')
exec(handle)
handle.close()
cuts = {}
if os.path.exists(opt.cutsFile) :
handle = open(opt.cutsFile,'r')
exec(handle)
handle.close()