Python 当您的数据较大时，是否有有效的方法使用第二个表填写正确的不一致数据？

我有一个数据不一致的表，如下所示：

表1:

航班号 发动机号 飞机尾翼 年 月 000000_20180121 000000 G-RHBZ 2018 01 258741_20171021 258741 H-RZBE 2017 10 _20150214 V-order 2015 02 _20110287 编号 G-EHRK 2011 12

---

我想你可以用

合并

航班号
发动机号坏了
飞机尾翼
年
月
发动机号良好
000000_20180121
000000
G-RHBZ
2018
01
589745
_20150214
V-order
2015
02
348741
_20110287
编号
G-EHRK
2011
12
587981
是的，它可以工作，我将测试整个数据并检查执行时间性能。非常感谢。
import pandas as pd

df1 = pd.DataFrame(data=[
    {"flight_id":"000000_20180121","engine_number":"000000",
     "aircraft_tail":"G-RHBZ","year":"2018","month":"01"},
    {"flight_id":"258741_20171021","engine_number":"258741",
     "aircraft_tail":"H-RZBE","year":"2017","month":"10"},
    {"flight_id":"_20150214","engine_number":"",
     "aircraft_tail":"V-RDER","year":"2015","month":"02"},
    {"flight_id":"_20110287","engine_number":"NO-NUMBER", 
     "aircraft_tail":"G-EHRK","year":"2011","month":"12"}]
)
df2 = pd.DataFrame(data=[
    {"engine_number":"258741","aircraft_tail":"H-RZBE","year":"2017","month":"10"},
    {"engine_number":"348741","aircraft_tail":"V-RDER","year":"2015","month":"02"},
    {"engine_number":"348741","aircraft_tail":"V-RDER","year":"2015","month":"03"},
    {"engine_number":"589745","aircraft_tail":"G-RHBZ","year":"2018","month":"01"},
    {"engine_number":"587981","aircraft_tail":"G-EHRK","year":"2011","month":"12"}]
    )

# Validator function
def bad_engine_number_detector(engine_number):

    lst_invalid_engine_number = ["000000", "NO-NUMBER"]

    is_bad_engine_number = False
    if engine_number == "":
        is_bad_engine_number = True
    elif engine_number in lst_invalid_engine_number:
        is_bad_engine_number = True

    return is_bad_engine_number
    
# Identify invalid entries on df1
mask = df1["engine_number"].apply(bad_engine_number_detector)

# Merge both tables (df1 filtered only with bad entries)
df1.loc[mask].merge(df2, 
                    on=["aircraft_tail","year","month"],
                    suffixes=["_bad","_good"])