df1
slot Time Location User
56 2017-10-26 22:15:00 89 1
2 2017-10-27 00:30:00 54 1
20 2017-10-28 05:00:00 64 1
24 2017-10-29 06:00:00 2 1
91 2017-11-01 22:45:00 78 1
62 2017-11-02 15:30:00 99 1
91 2017-11-02 22:45:00 34 1
47 2017-10-26 20:15:00 465 2
1 2017-10-27 00:10:00 67 2
20 2017-10-28 05:00:00 5746 2
28 2017-10-29 07:00:00 36 2
91 2017-11-01 22:45:00 786 2
58 2017-11-02 14:30:00 477 2
95 2017-11-02 23:45:00 7322 2
df2
slot
2
91
62
58
我需要输出df3作为
slot Time Location User
2 2017-10-27 00:30:00 54 1
91 2017-11-01 22:45:00 78 1
91 2017-11-02 22:45:00 34 1
91 2017-11-01 22:45:00 786 2
62 2017-11-02 15:30:00 99 1
58 2017-11-02 14:30:00 477 2
如果这些是csv文件，那么我们可以加入它们
join File1 file2 > file3
但是我们如何对Jupyter笔记本中的输出执行相同的操作
答案 0 :(得分：1)
尝试isin：
df1[df1.slot.isin(df2.slot)]
输出：
slot Time Location User
1 2 2017-10-27 00:30:00 54 1
4 91 2017-11-01 22:45:00 78 1
5 62 2017-11-02 15:30:00 99 1
6 91 2017-11-02 22:45:00 34 1
11 91 2017-11-01 22:45:00 786 2
12 58 2017-11-02 14:30:00 477 2