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你需要()而不是[]：

arrival_delayed_weather = (flight_data_finalcopy["ArrDelay"] > 0) &

(flight_data_finalcopy["WeatherDelay"]>0)

但似乎你需要ix来通过掩码选择UniqueCarrier和AirlineID列 – 有点修改boolean indexing：

mask = (flight_data_finalcopy["ArrDelay"] > 0) &

(flight_data_finalcopy["WeatherDelay"]>0)

arrival_delayed_weather_filter=flight_data_finalcopy.ix[mask, ["UniqueCarrier","AirlineID"]]

样品：

flight_data_finalcopy = pd.DataFrame({'ArrDelay':[0,2,3],

'WeatherDelay':[0,0,6],

'UniqueCarrier':['s','a','w'],

'AirlineID':[1515,3546,5456]})

print (flight_data_finalcopy)

AirlineID ArrDelay UniqueCarrier WeatherDelay

0 1515 0 s 0

1 3546 2 a 0

2 5456 3 w 6

mask = (flight_data_finalcopy["ArrDelay"] > 0) & (flight_data_finalcopy["WeatherDelay"]>0)

print (mask)

0 False

1 False

2 True

dtype: bool

arrival_delayed_weather_filter=flight_data_finalcopy.ix[mask, ["UniqueCarrier","AirlineID"]]

print (arrival_delayed_weather_filter)

UniqueCarrier AirlineID

2 w 5456

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