通过使用pandas集团

我有数据

ID_panel id_vk Profile Audio Video 03a63f1c5a89fb89fcc4d7cf60e2e6b1 100334438 1 1ea192ddd5c042d71910de18595553a5 100897602 0.25 1ea192ddd5c042d71910de18595553a5 123581809 0.35 0038ccb3a47d51a68de51ffeb9607906 35226722 0.058823529 03a63f1c5a89fb89fcc4d7cf60e2e6b1 100334438 0.003552398 03a63f1c5a89fb89fcc4d7cf60e2e6b1 117790896 0.011545293 18441890537f6d9a0559a5f44c28ff67 39356974 0.974025974 1ea192ddd5c042d71910de18595553a5 123581809 0.15 

欲望输出：

 ID_panel id_vk Profile Audio Video 03a63f1c5a89fb89fcc4d7cf60e2e6b1 100334438 0.003552398 1 117790896 0.011545293 1ea192ddd5c042d71910de18595553a5 100897602 0.25 123581809 0.15 0.35 0038ccb3a47d51a68de51ffeb9607906 35226722 0.058823529 18441890537f6d9a0559a5f44c28ff67 39356974 0.974025974 

我尝试使用

 print df.groupby(['ID_panel', 'id_vk'])['Profile', 'Audio', 'Video'].apply(lambda x: "{%s}" % ', '.join(x)) 

但它返回

 0038ccb3a47d51a68de51ffeb9607906 13312 {Profile, Audio, Video} 35226722 {Profile, Audio, Video} 03a63f1c5a89fb89fcc4d7cf60e2e6b1 795020 {Profile, Audio, Video} 2412315 {Profile, Audio, Video} 

不是数字。 我写%s但%f返回error

但它不起作用，我有一个错误。 我怎样才能用我的数据呢？

Answer 1

干得好：

 #You have to put the column names in a list. df.groupby(['ID_panel', 'id_vk'])['Profile', 'Audio', 'Video'].count()