plotData[run]["tag"] = nametag
plotData[run]["color"] = plotcolor
run += 1
#------------------------------------------------------------------------
filenamePrefix = '%s_%s_addInvest' % (country, version)
output.getCombinedPlots(run,
plotData,
startYear=startYear - 1,
filenamePrefix=filenamePrefix,
save=True)
output.getCompareDeathsAverted(run,
plotData,
scalePercent=0.1,
filenamePrefix=filenamePrefix,
title=title,
save=True)
output.getU5StuntingCasesAverted(run,
plotData,
scalePercent=0.5,
filenamePrefix=filenamePrefix,
title=title,
save=True)
output.getA5StuntingCasesAverted(run,
plotData,
scalePercent=0.5,
filenamePrefix=filenamePrefix,
title=title,
save=True)
percentageIncrease = 50
title = '%s: 2016-2030 \n Scale up interventions by %i%% points'%(country,percentageIncrease)
filenamePrefix = '%s_%i'%(country,percentageIncrease)
numInterventions = len(spreadsheetData.interventionList)
colorStep = 1./float(numInterventions)-1.e-2
for ichoose in range(numInterventions):
chosenIntervention = spreadsheetData.interventionList[ichoose]
pickleFilename = '%s_Intervention%i_P%i.pkl'%(country,ichoose,percentageIncrease)
nametag = chosenIntervention
print "\n"+nametag
fileX = open(pickleFilename, 'rb')
# read the model output with simple intervention
modelXList = []
while 1:
try:
modelXList.append(pickle.load(fileX))
except (EOFError):
break
fileX.close()
plotData.append({})
plotData[run]["modelList"] = modelXList
plotData[run]["tag"] = nametag
plotData[run]["color"] = (1.0-colorStep*run, 1.0-0.23*abs(run-4), 0.0+colorStep*run)
run += 1
output.getCombinedPlots(run, plotData, filenamePrefix=filenamePrefix, save=True)
output.getCompareDeathsAverted(run, plotData, filenamePrefix=filenamePrefix, title=title, save=True)