<分区>
In [88]: c
Out[88]:
Address Name
CustomerID
10 Address for Mike Mike
11 Address for Marcia Marcia
In [89]: c.index
Out[89]: Int64Index([10, 11], dtype='int64', name='CustomerID')
In [90]: orders
Out[90]:
CustomerID OrderDate
0 10 2014-12-01
1 11 2014-12-01
2 10 2014-12-01
In [91]: orders.index
Out[91]: RangeIndex(start=0, stop=3, step=1)
In [92]: c.merge(orders)
---------------------------
MergeError: No common columns to perform merge on
因此，如果一个 dataframe 中的 index 列与第二个 dataframe 中的另一列同名，panda 将无法合并？