【问题标题】：Pandas Merge two databases with not matching time seriesPandas 合并两个时间序列不匹配的数据库
【发布时间】：2021-08-20 15:41:15
【问题描述】：

尝试在 Python 中合并 2 个 DB，具有一个时间范围，但时间值不同。 С = pd.merge_asof(A, B, on='time') 给 TypeError：找不到匹配的签名

一个

time	counter0	counter1
2021-05-27 19:09:00	0.0172	0.0207
2021-05-27 19:09:15	0.0483	0.0517
2021-05-27 19:09:30	0.0621	0.0655
2021-05-27 19:09:45	0.0897	0.0931
2021-05-27 19:10:15	0.155	0.155

B

time	rate	C	D
2021-05-27 19:09:13		1	1
2021-05-27 19:09:13	0	2	2
2021-05-27 19:09:14	0.42	2	3
2021-05-27 19:09:14	0	3	4
2021-05-27 19:09:15	0.4		5
2021-05-27 19:10:05	0.1	2	3

我希望 C 看起来像：

C

time	counter0	counter1	rate	C	D
2021-05-27 19:09:00	0.0172	0.0207	N/A	N/A	N/A
2021-05-27 19:09:13	N/A	N/A	N/A	1	1
2021-05-27 19:09:13	N/A	N/A	0	2	2
2021-05-27 19:09:14	N/A	N/A	0.42	2	3
2021-05-27 19:09:14	N/A	N/A	0	3	4
2021-05-27 19:09:15	0.0483	0.0517	0.4	N/A	5
2021-05-27 19:09:30	0.0621	0.0655	N/A	N/A	N/A
2021-05-27 19:09:45	0.0897	0.0931	N/A	N/A	N/A
2021-05-27 19:10:05	N/A	N/A	0.1	2	3
2021-05-27 19:10:15	0.155	0.155	N/A	N/A	N/A

【问题讨论】：

标签： python pandas database dataframe csv

【解决方案1】：

您在寻找外连接吗？

c = a.merge(b, on='time', how='outer').sort_values('time')

                 time  counter0  counter1  rate    C    D
0 2021-05-27 19:09:00    0.0172    0.0207   NaN  NaN  NaN
5 2021-05-27 19:09:13       NaN       NaN   NaN  1.0  1.0
6 2021-05-27 19:09:13       NaN       NaN  0.00  2.0  2.0
7 2021-05-27 19:09:14       NaN       NaN  0.42  2.0  3.0
8 2021-05-27 19:09:14       NaN       NaN  0.00  3.0  4.0
1 2021-05-27 19:09:15    0.0483    0.0517  0.40  NaN  5.0
2 2021-05-27 19:09:30    0.0621    0.0655   NaN  NaN  NaN
3 2021-05-27 19:09:45    0.0897    0.0931   NaN  NaN  NaN
9 2021-05-27 19:10:05       NaN       NaN  0.10  2.0  3.0
4 2021-05-27 19:10:15    0.1550    0.1550   NaN  NaN  NaN

【讨论】：

哦，很简单，谢谢你，先生，非常感谢，你拯救了我的一天！