您好我添加了两列并获得了一列,以便成功显示这两列的总和。但是我想显示其他列以及该总和列。例如,如果我选择此总和列,我想显示ArrDelay
和DepDelay
或其他列。
以下是我的代码:
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))
答案 0 :(得分:3)
您可以将新列附加到数据框:
flight_data_finalcopy["sumDepArr"] = flight_data_finalcopy["DepDelay"] + flight_data_finalcopy["ArrDelay"]
希望这有帮助!
答案 1 :(得分:1)
我认为您需要将其分配给新列:
flight_data_finalcopy['new'] = flight_data_finalcopy["DepDelay"] +
flight_data_finalcopy["ArrDelay"]
或使用add
:
flight_data_finalcopy['new'] = flight_data_finalcopy["DepDelay"].add(
flight_data_finalcopy["ArrDelay"])
通过评论编辑:
删除sum_arrival_delay = flight_data_finalcopy["sumDepArr"]
,然后将sum_arrival_delay
替换为flight_data_finalcopy
:
样品:
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