Python：向数据帧添加列

我有两个数据帧 我的第一个数据帧，

start\u df\u 1

，如下所示：

start_df_1

              0
0   3Degrees_Inc 
1   3Degrees_Inc
2   3Degrees_Inc
3   3Degrees_Inc
4   3Degrees_Inc
5   3Degrees_Inc
6   3Degrees_Inc
7   3Degrees_Inc
8   3Degrees_Inc
9   3Degrees_Inc
10  3Degrees_Inc

friends_df
            0
0      MEGreenPower
1       LympheDIVAs
2     Ecopreneurist
3     issielapowsky
4     NatureClimate
5      miketuritzin
6         greenbang
7     GoodCleanTech
8            EDFbiz
9         adavies47
10        petedanko

我的第二个数据帧

friends\u df

如下所示：

start_df_1

              0
0   3Degrees_Inc 
1   3Degrees_Inc
2   3Degrees_Inc
3   3Degrees_Inc
4   3Degrees_Inc
5   3Degrees_Inc
6   3Degrees_Inc
7   3Degrees_Inc
8   3Degrees_Inc
9   3Degrees_Inc
10  3Degrees_Inc

friends_df
            0
0      MEGreenPower
1       LympheDIVAs
2     Ecopreneurist
3     issielapowsky
4     NatureClimate
5      miketuritzin
6         greenbang
7     GoodCleanTech
8            EDFbiz
9         adavies47
10        petedanko

我正在尝试创建一个新的数据帧，例如：

  concatenated_df          

               User        Follower
0      MEGreenPower    3Degrees_Inc
1       LympheDIVAs    3Degrees_Inc
2     Ecopreneurist    3Degrees_Inc
3     issielapowsky    3Degrees_Inc
4     NatureClimate    3Degrees_Inc
5      miketuritzin    3Degrees_Inc
6         greenbang    3Degrees_Inc
7     GoodCleanTech    3Degrees_Inc
8            EDFbiz    3Degrees_Inc
9         adavies47    3Degrees_Inc
10        petedanko1   3Degrees_Inc

请注意，添加了新列，第一列和第二列分别命名为“User”和“Follower”。 我试过：

EDGE_LIST1 = pandas.DataFrame.from_dict({'User':friends_df, 
                                         'Follower': start_df_1}, orient='columns')

然而，这给我带来了一个错误：

ValueError: If using all scalar values, you must must pass an index

---

你能帮我一下吗？谢谢。

我找到了解决办法；你只要做：

EDGE_LIST1 = pandas.concat({'User':start_df_1, 'Follower': friends_df}, axis=1)

---

我找到了解决办法；你只要做：

EDGE_LIST1 = pandas.concat({'User':start_df_1, 'Follower': friends_df}, axis=1)