[英]In Pandas DataFrame how to merge/join two DataFrame that has all row from left table and repeat values from right DataFrame
如果df1看起来像:
Build_ID, Request_ID, Group_ID, Average
185, 100, G1, 200
186, 100, G1, 201
185, 102, G1, 203
186, 102, G1, 205
185, 200, G3, 200
186, 200, G3, 201
185, 202, G3, 203
186, 202, G3, 205
和df2看起来像:
Build_ID, Group_ID, Group_Average
185, G1, 300
186, G1, 301
185, G3, 401
186, G3, 402
最终结果应如下所示:
Build_ID, Request_ID, Group_ID, Average, Group_Average
185, 100, G1, 200, 300
186, 100, G1, 201, 301
185, 102, G1, 203, 300
186, 102, G1, 205, 301
185, 200, G3, 200, 401
186, 200, G3, 201, 402
185, 202, G3, 203, 401
186, 202, G3, 205, 402
对于每个Group_ID和Build_ID,基本上都重复了df1和df2的Group_Average的所有行。 我尝试使用不同的关节进行合并和合并,但无法获得所需的结果。 谢谢
那是你要的吗?
In [60]: df1.merge(df2, on=['Build_ID','Group_ID'])
Out[60]:
Build_ID Request_ID Group_ID Average Group_Average
0 185 100 G1 200 300
1 185 102 G1 203 300
2 186 100 G1 201 301
3 186 102 G1 205 301
4 185 200 G3 200 401
5 185 202 G3 203 401
6 186 200 G3 201 402
7 186 202 G3 205 402
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