python - Adding two columns in a dataframe and displaying other columns -

hello added 2 columns , got column display sum of 2 columns successfully. want display other columns along summed column. example show arrdelay , depdelay or column if choose along summed column.

here code below:

flight_data_finalcopy["sumdeparr"] = flight_data_finalcopy["depdelay"] + flight_data_finalcopy["arrdelay"] sum_arrival_delay = flight_data_finalcopy["sumdeparr"] sum_arrival_delay_fliter = sum_arrival_delay[["uniquecarrier", "airlineid", "depdelay", "arrdelay", "sumdeparr"]]  print(display(sum_arrival_delay_filter))     

i think need assign new column:

flight_data_finalcopy['new'] = flight_data_finalcopy["depdelay"] +                                 flight_data_finalcopy["arrdelay"] 

or use add:

flight_data_finalcopy['new'] = flight_data_finalcopy["depdelay"].add(                                flight_data_finalcopy["arrdelay"]) 

edit comment:

remove sum_arrival_delay = flight_data_finalcopy["sumdeparr"] , replace sum_arrival_delay flight_data_finalcopy:

sample:

flight_data_finalcopy = pd.dataframe({'depdelay':[1,2,3],                    'arrdelay':[4,5,6],                    'uniquecarrier':[7,8,9],                    'airlineid':[1,3,5],                    'another_column':[4,8,9]})  print (flight_data_finalcopy)    airlineid  another_column  arrdelay  depdelay  uniquecarrier 0          1               4         4         1              7 1          3               8         5         2              8 2          5               9         6         3              9   flight_data_finalcopy["sumdeparr"] = flight_data_finalcopy["depdelay"] + flight_data_finalcopy["arrdelay"] sum_arrival_delay_filter = flight_data_finalcopy[["uniquecarrier", "airlineid", "depdelay", "arrdelay", "sumdeparr"]] print (sum_arrival_delay_filter)       uniquecarrier  airlineid  depdelay  arrdelay  sumdeparr 0              7          1         1         4          5 1              8          3         2         5          7 2              9          5         3         6          9