data[key+'_wavelength'], data[key+'_reflectance'] = IR_analysis.calibrate_data_fits(file, IG_filenames_fits[index])
print 'finished reading file: ', key
IR_analysis.write_file(key, data[key+'_wavelength'], data[key+'_reflectance'])
#PASA cashbox csv (tuning curve for wavelength) (2013)
for index, file in enumerate(sample_filenames_csv_tuning_curve):
#data stored in dictionary
#define key based on file name
key=file.split('samples/',1)[-1]
key=key.rstrip('.csv')
#store wavelength and reflectance data in key
tuning_curve = 'data/tuning_curve_2013SEP16.txt'
data[key+'_wavelength']=[]
data[key+'_reflectance']=[]
#obtain Infragold calibrated data
data[key+'_wavelength'], data[key+'_reflectance'] = IR_analysis.calibrate_data_csv_tuning_curve(file, IG_filenames_csv_tuning_curve[index], tuning_curve)
print 'finished reading file: ', key
IR_analysis.write_file(key, data[key+'_wavelength'], data[key+'_reflectance'])
#PASA cashbox csv (2013)
for index, file in enumerate(sample_filenames_csv):
#data stored in dictionary
#define key based on file name
key=file.split('samples/',1)[-1]
key=key.rstrip('.csv')
#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_csv(file, IG_filenames_csv[index])
print 'finished reading file: ', key
