Pandas一次替换多个值

Question

我正在尝试清理excel文件中的一些数据.该文件包含7400行和18列,其中包括具有各自地址和其他数据的客户列表.我遇到的问题是,有些城市拼写错误,导致信息失真,难以进一步处理.

  SURNAME   | ADDRESS          | CITY
0 Jenson    | 252 Des Chênes   | D.DO
1 Jean      | 236 Gouin        | DOLLARD
2 Denis     | 993 Boul. Gouin  | DOLLARD-DES-ORMEAUX
3 Bradford  | 1690 Dollard #7  | DDO
4 Alisson   | 115 Du Buisson   | IL PERROT
5 Abdul     | 9877 Boul. Gouin | Pierrefonds
6 O'Neil    | 5 Du College     | Ile Bizard
7 Bundy     | 7345 Sherbrooke  | ILLE Perot
8 Darcy     | 8671 Anthony #2  | ILE Perrot
9 Adams     | 845 Georges      | Pierrefonds

在上面的示例中,D.DO,DOLLARD,DDO应拼写为DOLLARD-DES-ORMEAUX,IL PERROT,ILLE PEROT,ILE PERROT应拼写为ILE-PERROT.

我已经能够使用以下方法替换值:

df["CITY"].replace(to_replace={"D.DO", "DOLLARD", "DDO"}, value="DOLLARD-DES-ORMEAUX", regex=True) 
df["CITY"].replace(to_replace={"IL PERROT", "ILLE PEROT", "ILE PERROT"}, value="ILE-PERROT", regex=True) 

有没有办法将上述操作合二为一？我试过了:

df["CITY"].replace({to_replace={"D.DO", "DOLLARD", "DDO"}, value="DOLLARD-DES-ORMEAUX", to_replace={"IL PERROT", "ILLE PEROT", "ILE PERROT"}, value="ILE-PERROT"}, regex=True) 

但我没有运气

Answer 1

尝试.replace({}, regex=True)方法:

replacements = {
   'CITY': {
      r'(D.*DO|DOLLARD.*)': 'DOLLARD-DES-ORMEAUX',
      r'I[lL]*[eE]*.*': 'ILLE Perot'}
}

df.replace(replacements, regex=True, inplace=True)

print(df)

输出:

    SURNAME           ADDRESS                 CITY
0    Jenson    252 Des Ch?¬nes  DOLLARD-DES-ORMEAUX
1      Jean         236 Gouin  DOLLARD-DES-ORMEAUX
2     Denis   993 Boul. Gouin  DOLLARD-DES-ORMEAUX
3  Bradford   1690 Dollard #7  DOLLARD-DES-ORMEAUX
4   Alisson    115 Du Buisson           ILLE Perot
5     Abdul  9877 Boul. Gouin          Pierrefonds
6    O'Neil      5 Du College           ILLE Perot
7     Bundy   7345 Sherbrooke           ILLE Perot
8     Darcy   8671 Anthony #2           ILLE Perot
9     Adams       845 Georges          Pierrefonds