将两个数据帧与其中一列中的列表合并

Question

我正在尝试合并多个数据帧以查找不属于它们的组中的用户。

DF1

    AccountType   Name SID disabled  compname  localaccount lockout passwordchangeable passwprdexpires passwordrequired status 
          512 Administrator 1001  True mycoolguycompname   True True    True   NONE    True Degraded 
          512  coolguy 500  False mycoolguycompname   True False    True   NONE    True  OK 
          512  Visitor 501  True mycoolguycompname   True False    False   NONE    True Degraded   

DF2

     groupname localaccount  GroupSID sidtype status                   members 
       Administrators  True S-1-5-32-544  4  OK  [coolguy, cool_Admins, Inspector_Cool, cool_2, Administrator, Backup Operators] 
       Backup Operators  True S-1-5-32-551  4  OK                 [coolguy, badguy] 
Certificate Service DCOM Access  True S-1-5-32-574  4  OK                   [cool_2] 
     Cryptographic Operators  True S-1-5-32-569  4  OK               [Administrators, Visitor] 

我怎么能合并两个dataframes显示正确关联到合适的组中的用户名，他们属于象下面这样：

的预期输出：

  usernames        groups  GroupSID status   compname 
      coolguy       Administrators S-1-5-32-544  OK mycoolguycompname    
      cool_Admins      Administrators S-1-5-32-544  OK mycoolguycompname 
      Inspector_Cool     Administrators S-1-5-32-544  OK mycoolguycompname 
      cool_2       Administrators S-1-5-32-544  OK mycoolguycompname 
      Administrator     Administrators S-1-5-32-544  OK mycoolguycompname 
      coolguy      Backup Operators S-1-5-32-551  OK mycoolguycompname 
      badguy       Backup Operators S-1-5-32-551  OK mycoolguycompname    
      cool_2   Certificate Service DCOM Access S-1-5-32-574  OK mycoolguycompname 
      coolguy     Cryptographic Operators S-1-5-32-569  OK mycoolguycompname 
      cool_Admins    Cryptographic Operators S-1-5-32-569  OK mycoolguycompname 
      Inspector_Cool   Cryptographic Operators S-1-5-32-569  OK mycoolguycompname 
      cool_2     Cryptographic Operators S-1-5-32-569  OK mycoolguycompname 
      Administrator   Cryptographic Operators S-1-5-32-569  OK mycoolguycompname 
      Visitor     Cryptographic Operators S-1-5-32-569  OK mycoolguycompname 
      badguy     Cryptographic Operators S-1-5-32-569  OK mycoolguycompname 

我非常担心嵌套组件。任何帮助将不胜感激。

Answer 1

IIUC你能做到这样：

In [49]: d1 = df1[['Name','compname']] 
    ...: d2 = df2[['groupname','GroupSID','members','status']] 
    ...: 
    ...: lst_col = 'members' 
    ...: 
    ...: pd.DataFrame({ 
    ...:  col:np.repeat(d2[col].values, d2[lst_col].str.len()) 
    ...:  for col in d2.columns.difference([lst_col]) 
    ...: }).assign(**{'Name':np.concatenate(d2[lst_col])}).merge(d1, on='Name', how='left') 
    ...: 
    ...: 
Out[49]: 
     GroupSID      groupname status    Name   compname 
0 S-1-5-32-544     Administrators  OK   coolguy mycoolguycompname 
1 S-1-5-32-544     Administrators  OK  cool_Admins    NaN 
2 S-1-5-32-544     Administrators  OK Inspector_Cool    NaN 
3 S-1-5-32-544     Administrators  OK   cool_2    NaN 
4 S-1-5-32-544     Administrators  OK  Administrator mycoolguycompname 
5 S-1-5-32-544     Administrators  OK Backup Operators    NaN 
6 S-1-5-32-551     Backup Operators  OK   coolguy mycoolguycompname 
7 S-1-5-32-551     Backup Operators  OK   badguy    NaN 
8 S-1-5-32-574 Certificate Service DCOM Access  OK   cool_2    NaN 
9 S-1-5-32-569   Cryptographic Operators  OK Administrators    NaN 
10 S-1-5-32-569   Cryptographic Operators  OK   Visitor mycoolguycompname