Suppose you have the following code import pandas as pd dd=pd.read_csv("C:/201809-fordgobike-tripdata.csv") dd.head() After running the above code, you get duration_sec sal time end_time start station id start station name start station latitude start station longitude and station_id 7101 1200 Non Dolares Fork 2.781470 -1992 2018 09 30 2018 10 01 18 37:01.7710 15 51:53.6630 2018 09 30 2018 10 01 1940 31.0530 09 56 44.7520 SD NUN NAN 22 110000 -1711 NAN 2 74498 2018-09-30 2018-10-01 11 34 44 7970 08 16 23 3570 "Nob Stat IQR 37.777093 -122 428558 S40 2018.01.01 || || || || || || || || 11.0 IMMER 37.797280 122395436 3.0 2T 2018.09 30 2018 10 01 15 23:03 6560 08 12 50.7870 19.0 TRI Building Hot Bridges P 32.785392 -122354293 150 ? Which of the following statements generates the following output w 15 218 04.12:50770 150 Bug Only Bridger PL 31.780382 -122 39390 180 ? Which of the following statements generates the following output duration.se 0 78401 1 50832 2. 74499 start time end time start station_name startstation_Jatitude start station longitude and station_d 2018-09-30 2016-10-01 Mission Dolores 18-3701 7710 155153 5530 Park 37 761420 -122425435 25D 2018-09-30 2018-10-01 NAN 19:49:31.9530 09:58:44.7320 37.410000 121 940000 NaN 2010-09-30 2018-10-01 Webster Stal Grove 11.34.44.1970 08.16.23.3570 37.777053 SI -122.429558 56.D 2018-09-30 2010-10-01 Devis St et Jackson 10.1249.9100 00.16 08 0440 st 37.797200 -122 396436 56.0 2018-09-30 2018-10-01 San Francisco Ferry 15:28:03 5560 08 12 50 7870 Buliding Harry 37 796392 -122 394203 150 Rridos PI 3 79396 60287 :! new=dd.drop('start_station_id',axis-1, inplace-False) a O dd.head() new=dd.drop('start_station_id',axis-0, inplace-False) bo dd.head() new=dd.drop('start_station_id', axis-1, inplace=True) .co dd.head() None of them .do