下面有一个数据帧df_day，您可以看到
Day
2022-05-02 2
2022-05-03 3
2022-05-04 4
2022-05-05 5
2022-05-06 6
2022-05-07 7
2022-05-08 8
2022-05-09 9
2022-05-10 10
2022-05-11 11
2022-05-12 12
2022-05-13 13
2022-05-14 14
2022-05-15 15
2022-05-16 16
2022-05-17 17
2022-05-18 18
2022-05-19 19
2022-05-20 20
2022-05-21 21
2022-05-22 22
2022-05-23 23
2022-05-24 24
2022-05-25 25
2022-05-26 26
2022-05-27 27
2022-05-28 28
2022-05-29 29
2022-05-30 30
2022-05-31 31
2022-06-01 1
2022-06-02 2
2022-06-03 3
2022-06-04 4
以及下面的数据帧df_count，您也可以看到
Weekday Day Count
0 Mon 2 44
1 Tue 3 44
2 Wed 4 32
3 Thu 5 26
4 Fri 6 39
5 Sat 7 39
0 Mon 9 37
1 Tue 10 30
2 Wed 11 33
3 Thu 12 41
4 Fri 13 36
5 Sat 14 38
0 Mon 16 32
1 Tue 17 35
2 Wed 18 35
3 Thu 19 31
4 Fri 20 44
5 Sat 21 31
0 Mon 23 57
1 Tue 24 32
2 Wed 25 34
3 Thu 26 42
4 Fri 27 42
5 Sat 28 29
0 Mon 30 33
1 Tue 31 33
2 Wed 1 33
3 Thu 2 33
4 Fri 3 33
5 Sat 4 33
当我尝试使用df_merged = pd.merge(df_day, df_count, 'outer')合并它们时
我得到了这个结果数据帧，老实说，不应该是这样的
Day Weekday Count
0 2 Mon 44.0
1 2 Thu 33.0
2 2 Mon 44.0
3 2 Thu 33.0
4 3 Tue 44.0
5 3 Fri 33.0
6 3 Tue 44.0
7 3 Fri 33.0
8 4 Wed 32.0
9 4 Sat 33.0
10 4 Wed 32.0
11 4 Sat 33.0
12 5 Thu 26.0
13 6 Fri 39.0
14 7 Sat 39.0
15 8 NaN NaN
16 9 Mon 37.0
17 10 Tue 30.0
18 11 Wed 33.0
19 12 Thu 41.0
20 13 Fri 36.0
21 14 Sat 38.0
22 15 NaN NaN
23 16 Mon 32.0
24 17 Tue 35.0
25 18 Wed 35.0
26 19 Thu 31.0
27 20 Fri 44.0
28 21 Sat 31.0
29 22 NaN NaN
30 23 Mon 57.0
31 24 Tue 32.0
32 25 Wed 34.0
33 26 Thu 42.0
34 27 Fri 42.0
35 28 Sat 29.0
36 29 NaN NaN
37 30 Mon 33.0
38 31 Tue 33.0
39 1 Wed 33.0
这个数据帧df_merged的顶部是怎么回事？
0 2 Mon 44.0
1 2 Thu 33.0
2 2 Mon 44.0
3 2 Thu 33.0
4 3 Tue 44.0
5 3 Fri 33.0
6 3 Tue 44.0
7 3 Fri 33.0
8 4 Wed 32.0
9 4 Sat 33.0
10 4 Wed 32.0
11 4 Sat 33.0
[日期]应为2、3、4、5等。工作日应为周一至周二至周三至周四至周五。等
如果我做df_merged = pd.merge(df_day, df_count, left_on='Day', right_on='Day', how='right')
然后它看起来几乎是准确的，但仍然不完全准确：
Day Weekday Count
0 2 Mon 44
1 2 Mon 44
2 3 Tue 44
3 3 Tue 44
4 4 Wed 32
5 4 Wed 32
6 5 Thu 26
7 6 Fri 39
8 7 Sat 39
9 9 Mon 37
10 10 Tue 30
11 11 Wed 33
12 12 Thu 41
13 13 Fri 36
14 14 Sat 38...etc.
尝试指定合并类型和要加入的列：
df_merged = pd.merge(df_day, df_count, left_on = 'Day', right_on = 'Day', how = 'left')
如果此代码对您有帮助，请告诉我们。