#Arm colors data_dict = {'reduc_tag': 'cosmic_ray_removal_imComb'} colors = ['Blue', 'Red'] #Loop through the arms index_object = (dz.reducDf.reduc_tag == 'obj_combine') & (dz.target_validity_check()) Files_Folder = dz.reducDf.loc[index_object, 'file_location'].values Files_Name = dz.reducDf.loc[index_object, 'file_name'].values objects = dz.reducDf.loc[index_object, 'frame_tag'].values colors_arm = dz.reducDf.loc[index_object, 'ISIARM'].values for i in range(len(objects)): #Get the data ready for the task fitsdata, hdr = cosmics.fromfits(Files_Folder[i] + Files_Name[i], verbose=False) #Get the object configuration values: if objects[i] + '_lacosmic' in dz.observation_dict: sigclip = float(dz.observation_dict[objects[i] + '_lacosmic'][0]) else: if objects[i] in dz.observation_dict['Standard_stars']: sigclip = 10.0 else: if colors_arm[i] == 'Blue arm': sigclip = 10.0 elif colors_arm[i] == 'Red arm': sigclip = 10.0 print '\n-Treating:', Files_Name[i],' ', i, '/', len(Files_Name), objects[i] + '_lacosmic', sigclip, '\n'