基于另一个datafram中的多列条件创建多列

Question

我有两个来自csv文件的数据帧 df1型

 |BID    |Datetime           |TrId |Code|LineNumber|Vol  |Grade      |PId
0|1002867|2019-08-19 01:27:53|1459 |f   |10        |33.88|Vd         |4  
1|1002867|2019-08-19 01:39:05|1460 |f   |10        |18.13|EE         |5  
2|1002867|2019-08-19 01:39:55|1461 |f   |10        |21.8 |Ad         |9  
3|1002867|2019-08-19 01:39:55|1461 |f   |20        |500  |Vd         |10 
4|1002147|2019-08-19 01:26:21|2764 |f   |10        |33.86|V9         |3  
5|1002147|2019-10-19 01:31:57|2765 |f   |10        |3.48 |V9         |2  
9|1001257|2019-08-19 01:49:54|11524|f   |10        |19.93|Ul         |5  

df2型

 |sId  |BID    |StartDateTime      |EndDateTime        
0|10007|1002867|2019-07-26 05:11:05|2019-10-05 21:50:55
1|10006|1002147|2019-08-18 05:11:05|2019-10-05 21:50:55
2|10006|1002147|2019-10-05 21:50:55|2019-11-06 21:50:28
3|10006|1002147|2019-10-06 21:50:28|2019-10-08 03:56:20
4|10006|1002147|2019-10-08 03:56:20|2019-10-09 03:50:35
5|10006|1002147|2019-10-09 03:50:35|2019-10-10 05:12:30
6|10006|1002147|2019-10-10 05:12:30|2019-10-11 05:12:38
7|10009|1002348|2019-09-26 04:21:12|2019-10-06 04:16:00
8|10009|1002348|2019-10-06 04:16:00|2019-10-07 04:11:38
9|10009|1002348|2019-10-07 04:11:38|2019-10-08 04:13:12

请注意，两个数据帧的长度不同

仅当以下条件匹配时，我才想将列sId、StartDateTime和EndDateTime从df2添加到df1：

如果df1.BID=df2.BID且df1.DateTime介于df2.StartDateTime和df2.EndDatetime之间

我的结果应该是这样的：

 |BID    |Datetime           |TrId |Code|LineNumber|Vol  |Grade      |PId|sId  |StartDateTime      |EndDateTime        
0|1002867|2019-08-19 01:27:53|1459 |f   |10        |33.88|Vd         |4  |10007|2019-07-26 05:11:05|2019-10-05 21:50:55
1|1002867|2019-08-19 01:39:05|1460 |f   |10        |18.13|EE         |5  |10007|2019-07-26 05:11:05|2019-10-05 21:50:55
2|1002867|2019-08-19 01:39:55|1461 |f   |10        |21.8 |Ad         |9  |10007|2019-07-26 05:11:05|2019-10-05 21:50:55
3|1002867|2019-08-19 01:39:55|1461 |f   |20        |500  |Vd         |10 |10007|2019-07-26 05:11:05|2019-10-05 21:50:55
4|1002147|2019-08-19 01:26:21|2764 |f   |10        |33.86|V9         |3  |10006|2019-08-18 05:11:05|2019-10-05 21:50:55
5|1002147|2019-10-19 01:31:57|2765 |f   |10        |3.48 |V9         |2  |10006|2019-10-05 21:50:55|2019-11-06 21:50:28
9|1001257|2019-08-19 01:49:54|11524|f   |10        |19.93|Ul         |5  |NA   |NA                 |NA                 

我试过使用这篇文章中的方法： Create column based on multiple column conditions from another dataframe

但是，我只得到结果中的站点Id，而没有StartDateTime和EndDateTime 如何在结果中获得这些列

试用代码：

for key, grp in df2.groupby('sId'):
    cols = ['BID', 'StartDateTime', 'EndDateTime']
    masks = (df1['BID'].eq(bid) & df1['Datetime'].between(start, end) for bid, start, end in grp[cols].itertuples(index=False))
    df1.loc[pd.concat(masks, axis=1).any(1), 'sId'] = key

df1['sId'] = df1['sId'].fillna('NA')
print(df1)

仅打印：

 |BID    |Datetime           |TrId |Code|LineNumber|Vol  |Grade      |PId|sId  
0|1002867|2019-08-19 01:27:53|1459 |f   |10        |33.88|Vd         |4  |10007
1|1002867|2019-08-19 01:39:05|1460 |f   |10        |18.13|EE         |5  |10007
2|1002867|2019-08-19 01:39:55|1461 |f   |10        |21.8 |Ad         |9  |10007
3|1002867|2019-08-19 01:39:55|1461 |f   |20        |500  |Vd         |10 |10007
4|1002147|2019-08-19 01:26:21|2764 |f   |10        |33.86|V9         |3  |10006
5|1002147|2019-10-19 01:31:57|2765 |f   |10        |3.48 |V9         |2  |10006
9|1001257|2019-08-19 01:49:54|11524|f   |10        |19.93|Ul         |5  |NA   

Answer 1

假设df2中的'sId'总是充满值，下面的代码正好提供了所需的结果：

df3 = pd.merge(df1, df2, on='BID', how="left")
result = df3[df3['Datetime'].between(df3.StartDateTime, df3.EndDateTime) | df3.sId.isna()]