熊猫加入2个dataframes

Question

我有2个dataframes：

>>> result 
     id order_nr 
0 3131334 334756912 
0 3131312 386517432 
0 3131309 356299432 
0 3131205 397514312 
      ... 

>>> OMSdf 
    order_nr   status refund_amount 
0 377766482 already_canceled    0 
1 348722582 already_canceled    0 
2 395287472   on_hold    0 
3 345883652 already_canceled    0 
      ... 

那些2个dataframes在该领域 “order_nr” 一些共同的价值观：

>>> result[result['order_nr'] == '377766482'] 
     id order_nr 
0 3129153 377766482 

>>> OMSdf[OMSdf['order_nr'] == '377766482'] 
    order_nr   status refund_amount 
0 377766482 already_canceled    0 

但是我尝试加入他们在一起：

resultfinal = result.join(OMSdf, on='order_nr', how='inner', lsuffix='', rsuffix='_oms', sort=False) 

结果为空：

>>> resultfinal 
Empty DataFrame 
Columns: [id, order_nr, order_nr_oms, status, refund_amount] 
Index: [] 

Answer 1

使用下面的代码

df_merged = pd.merge(result, OMSdf, how='inner') 

在你的情况，你可以order_nr作为两个对接前的dataframes指数，如下

result.index = result['order_nr'] 
OMSdf.index = OMSdf['order_nr']