pandas - 拆分和重组熊猫数据框中的列表

Question

我有一个包含列表的列的数据框：

0                                 [Boeing]                    [sells]   
1   [aircrafts, they, agreement, airplane]  [are, built, made, built]   
2                       [exception, these]                 [are, are]   
3                        [sales, contract]       [regulated, consist]   
4                               [contract]               [stipulates]   
5                            [acquisition]                      [has]   
6                               [contract]                  [managed]   
7                               [employee]                      [act]   
8                    [salesperson, Boeing]          [change, ensures]   
9                     [airlines, airlines]            [related, have]   
10                                [Boeing]                     [keep]   

我想重新排列我的数据，以便我的数据框每一列中的列表被解包并与解包的下一列中的相应项目组合。

我的示例中前两行的结果应如下所示：

0                                 [Boeing]                    [sells]   
1                                 [aircrafts]                 [are]  
2                                 [they]                      [built] 
3                                 [agreement]                 [made]
4                                 [airplane]                  [built]

如何才能做到这一点？请注意，我的数据框总共包含 5 列。

标签： pandasdataframe