使用另一个数据框中的查找值在一个熊猫数据框中填充3列

Question

我有两个数据帧df_source和df_dest，如下所示：

>>> df_source = pd.read_csv('Product_Lookup.csv')
>>> df_source
   ProdCode    ProdName        ProdUPC  ProdQty
0       131       Apple  1100034030045        1
1       320   Bookshelf  2222200209090        1
2       420  Comic Book  4449435895489        5
3       511   Drillbits  5558493958393       10
4        55        Eggs  6660001110005       20
5        12   Fish food  9099910002776       50

>>> df_dest = pd.read_csv('Product_Dest.csv')
>>> df_dest
  CustName  ProdCode  ProdName  ProdUPC  ProdQty
0     Fred        12       nan      nan      nan
1   Sanjay       131       nan      nan      nan
2     Rita       55        nan      nan      nan
3    Steph       511       nan      nan      nan
4   Hannah        55       nan      nan      nan
5    Roger       131       nan      nan      nan

对于在处理功能中处理多列种群的熊猫，我还没有看到这里的问题。

我正在尝试通过将df_dest.loc[:,['ProdName','ProdUPC','ProdQty']]与df_dest['ProdCode']匹配来填充df_source['ProdCode']。

我可以用iterrows()来做到这一点，但希望更快，更优雅。任何帮助都非常感谢！