import uncertainties.unumpy as unumpy
from dazer_methods import Dazer
from libraries.Math_Libraries.fitting_methods import LinfitLinearRegression
from pandas import set_option
set_option('display.max_rows', None)
set_option('display.max_columns', None)
#Declare coding classes
dz = Dazer()
script_code = dz.get_script_code()
dz.load_atom()
#Load catalogue dataframe
catalogue_dict = dz.import_catalogue()
catalogue_df = dz.load_dataframe(catalogue_dict['dataframe'])
lineslog_extension = '_' + catalogue_dict['Datatype'] + '_linesLog_reduc.txt' #First data log for reduced spectra
#Set figure format
dz.FigConf()
# Loop through files
for i in range(len(catalogue_df.index)):
#try:
#Locate the files
objName = catalogue_df.iloc[i].name
fits_file = catalogue_df.iloc[i].reduction_fits
ouput_folder = '{}{}/'.format(catalogue_dict['Obj_Folder'], objName)
lineslog_address = '{objfolder}{codeName}{lineslog_extension}'.format(objfolder = ouput_folder, codeName=objName, lineslog_extension=lineslog_extension)
