qpython 31.08.2016
"""
import facoLib as fl
msg = "testing new function ...\n"
print msg
print fl.combinedRelUncertainty(100, [40., 80], True)
print msg
print fl.combinedUncertainty([40., 80], True)
print msg
x = 4
y = 6
z = 2.1
myDoubleArray = [[0, 1, 2], [x, y, z]]
myHeader = ["this", "stuff", "is great"]
print fl.makeTable("testOutput", myDoubleArray, myHeader, True, "any caption", True)
print msg
print fl.getDictFromJson("WW", "", True)
print msg
print fl.floatToPercent(0.12)
# canvas
outfile.cd()
c1 = rt.TCanvas(lept)
c1.cd()
fancyHist.Draw()
c1.SetLogy()
fancyHist.Write()
c1.Write()
c1.SaveAs("plots/TFs_" + lept + ".pdf")
# make a table
caption = "Values of the transfer factors and the yields in the " + str(lept) + "s final state."
fl.makeTable("QCDSumaryTable_" + lept, SRx_doubleArray, SRx_Header, True, caption , False, True)
#eo lopp over the lept
outfile.Close()
# save the dict
with open ("jsonFiles/N_QCD.json", 'w') as f:
json.dump(N_QCD_dict, f)
with open ("jsonFiles/N_QCD_err.json", 'w') as f:
json.dump(N_QCD_err_dict, f)
# eo loop over the dataset
# add bkgd sum
Yield_Sum = bgMCSum1.GetBinContent(1)
Yield_Sum_err = bgMCSum1.GetBinError(1)
Yield_Sum_ = ufloat (Yield_Sum, Yield_Sum_err)
skimmedDoubleArray.append(["Background Sum", Yield_Sum_])
# save the double array into pdf
myHeader= ["Source", "Yield"]
fl.makeTable("YieldTable_DCR" + chan, skimmedDoubleArray, myHeader, True, "Yield in the DCR", False)
# print the summary contained it the double array
# for i in range (0,len(doubleArray)):
#
# print "---------"
# print "NEW SAMPLE!!!"
# print "---------"
# for j in range (0,len(doubleArray[i])):
# print doubleArray[i][j]
# print ""
# print ""
#
uncertaintyMaxPercent = "-"
# Sum the square of the uncertainties
CurrentUnc=uncertaintyMax
SumUnc=SumUnc+CurrentUnc*CurrentUnc
#
singleArray.append(uncertaintyMaxPercent)
# eo systType loop
# add the tot uncertainty for each samples
headers.append("total")
singleArray.append(str(round(100*sqrt(SumUnc), 2))+" %")
doubleArray.append(singleArray)
# eo loop over the samples
# save the table in pdf
fl.makeTable("SystematicsTable_"+chan, doubleArray, headers, True, "List of the systemtic uncertainties for each sample in the " + chan + " channel.", False)
