如何将数据框的列分组到pandas中列出？

Question

   member_srl  click_day  productid
0        6963   20170106    3927352
1        6963   20170106    3790726
2        6963   20170106     977962
3        6963   20170106    1393860
4        6963   20170106    3759353

这是我的df，我想将member_srl和click_day分组，以获取productid列表。例如，member_srl 6963和click_day 20170106将对应于产品列表：[3927352,3790726,977962,1393860,3759353]

感谢。

Answer 1

将groupby与apply df = df.groupby(['member_srl','click_day'])['productid'].apply(list) print (df) member_srl click_day 6963 20170106 [3927352, 3790726, 977962, 1393860, 3759353] Name: productid, dtype: object df = df.groupby(['member_srl','click_day'])['productid'].apply(list).reset_index() print (df) member_srl click_day productid 0 6963 20170106 [3927352, 3790726, 977962, 1393860, 3759353] ：

一起使用

someFunction(foo, bar) match {
  case (two, three) => someOtherFunction(one, two, three)
}