Airmass_Value = py_w.get_HeaderValue(py_w.Airmass_Key, FileFolder + FileName, True)
ExpTime_Value = py_w.get_HeaderValue(py_w.Exptime_Key, FileFolder + FileName, True)
#Calibration with the same star
OutputFile_CalibratedFileSingle = py_w.CalibrateTask(FileName, None, SensitivityCurve, FileFolder, Airmass_Value, ExpTime_Value, Suffix='fxW_OwnSensitivityCurve')
#Calibration with the global curve
GlobalCurve = py_w.GlobalSensitiviyCurve + '.fits'
OutputFile_CalibratedFileCombined = py_w.CalibrateTask(FileName, None, GlobalCurve, FileFolder, Airmass_Value, ExpTime_Value, Suffix='fxW')
#Extract the data for the plots
Wave_Single, Int_Single, ExtraData_Single = pv.File2Data(FileFolder, OutputFile_CalibratedFileSingle)
Wave_Combined, Int_Combined, ExtraData_Combined = pv.File2Data(FileFolder, OutputFile_CalibratedFileCombined)
#Getting star calibration file
StarCalibrationName, BandWidth, BandSep = py_w.getCalibrationFile(StarName)
CalibrationSpec_Address = py_w.Standard_Stars_Folder + StarCalibrationName + '.dat'
Wave_CalibStar, Flux_CalibStar_mAB = loadtxt(CalibrationSpec_Address, usecols = (0,1), unpack=True)
#Units conversion
Flux_CalibStar_nu = mAb_to_Fnu(Flux_CalibStar_mAB)
Flux_CalibStar_lam = Fnu_to_Flam(Flux_CalibStar_nu, Wave_CalibStar)
#Limiting the plot on the maximum and minimum values
MedianInt = median(Int_Single)
pv.Axis1.set_ylim(MedianInt/10,MedianInt*3)
pv.Axis1.set_xlim(Wave_Single[0],Wave_Single[-1])
#Plotting the data
pv.DataPloter_One(Wave_Single, Int_Single, StarName.upper() + ' single star curve calibration', pv.Color_Vector[2][3])
pv.DataPloter_One(Wave_Combined, Int_Combined, StarName.upper() + ' combined curve calibration', pv.Color_Vector[2][2])
