#divide data by Infragold file
#subtract bias file (bias files are also Infragold calibrated)
#AOTF IR spectrometer benchtop (2012)
for index, file in enumerate(sample_filenames_H2O_corr):
#data stored in dictionary
#define key based on file name
key=file.split('samples/',1)[-1]
key=key.rstrip('.txt')
#store wavelength and reflectance data in key
data[key+'_wavelength']=[]
data[key+'_reflectance']=[]
#obtain Infragold calibrated data
data[key+'_wavelength'], data[key+'_reflectance'] = IR_analysis.calibrate_data_H2O_corr(file)
print 'finished reading file: ', key
IR_analysis.write_file(key, data[key+'_wavelength'], data[key+'_reflectance'])
#GSFC AOTF, comma seperated txt files (2012 and later)
for index, file in enumerate(sample_filenames_GSFC_comma):
#data stored in dictionary
#define key based on file name
key=file.split('samples/',1)[-1]
key=key.rstrip('.txt')
#store wavelength and reflectance data in key
data[key+'_wavelength']=[]
data[key+'_reflectance']=[]
#obtain Infragold calibrated data
data[key+'_wavelength'], data[key+'_reflectance'] = IR_analysis.calibrate_data(file, 1)
print 'finished reading file: ', key
IR_analysis.write_file(key, data[key+'_wavelength'], data[key+'_reflectance'])
