我喜欢根据日期范围合并或组合两个不同大小的数据帧 df1 和 df2，例如:
df1:
Date Open High Low
2021-07-01 8.43 8.44 8.22
2021-07-02 8.36 8.4 8.28
2021-07-06 8.22 8.23 8.06
2021-07-07 8.1 8.19 7.98
2021-07-08 8.07 8.1 7.91
2021-07-09 7.97 8.11 7.92
2021-07-12 8 8.2 8
2021-07-13 8.15 8.18 8.06
2021-07-14 8.18 8.27 8.12
2021-07-15 8.21 8.26 8.06
2021-07-16 8.12 8.23 8.07
Day of month Revenue Earnings
01 45000 4000
07 43500 5000
12 44350 6000
15 39050 7000
组合:
Date Open High Low Earnings
2021-07-01 8.43 8.44 8.22 4000
2021-07-02 8.36 8.4 8.28 4000
2021-07-06 8.22 8.23 8.06 4000
2021-07-07 8.1 8.19 7.98 5000
2021-07-08 8.07 8.1 7.91 5000
2021-07-09 7.97 8.11 7.92 5000
2021-07-12 8 8.2 8 6000
2021-07-13 8.15 8.18 8.06 6000
2021-07-14 8.18 8.27 8.12 6000
2021-07-15 8.21 8.26 8.06 7000
2021-07-16 8.12 8.23 8.07 7000
最佳答案
试试 merge_asof
#df1.date=pd.to_datetime(df1.date)
df1['Day of month'] = df1.Date.dt.day
out = pd.merge_asof(df1, df2, on ='Day of month', direction = 'backward')
out
Out[213]:
Date Open High Low Day of month Revenue Earnings
0 2021-07-01 8.43 8.44 8.22 1 45000 4000
1 2021-07-02 8.36 8.40 8.28 2 45000 4000
2 2021-07-06 8.22 8.23 8.06 6 45000 4000
3 2021-07-07 8.10 8.19 7.98 7 43500 5000
4 2021-07-08 8.07 8.10 7.91 8 43500 5000
5 2021-07-09 7.97 8.11 7.92 9 43500 5000
6 2021-07-12 8.00 8.20 8.00 12 44350 6000
7 2021-07-13 8.15 8.18 8.06 13 44350 6000
8 2021-07-14 8.18 8.27 8.12 14 44350 6000
9 2021-07-15 8.21 8.26 8.06 15 39050 7000
10 2021-07-16 8.12 8.23 8.07 16 39050 7000
关于 python Pandas : How to combine or merge two difrent size dataframes based on dates，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/68531077/