嗨,我有以下dataframes:蟒蛇(熊猫)合并两个dataframes通过指数
> df1
id begin conditional confidence discoveryTechnique
0 278 56 false 0.0 1
1 421 18 false 0.0 1
> df2
concept
0 A
1 B
我怎么合并的索引来获得:
id begin conditional confidence discoveryTechnique concept
0 278 56 false 0.0 1 A
1 421 18 false 0.0 1 B
我问,因为这是我的理解这merge()
即df1.merge(df2)
使用列做matching.In其实这样做,我得到:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/usr/local/lib/python2.7/dist-packages/pandas/core/frame.py", line 4618, in merge
copy=copy, indicator=indicator)
File "/usr/local/lib/python2.7/dist-packages/pandas/tools/merge.py", line 58, in merge
copy=copy, indicator=indicator)
File "/usr/local/lib/python2.7/dist-packages/pandas/tools/merge.py", line 491, in __init__
self._validate_specification()
File "/usr/local/lib/python2.7/dist-packages/pandas/tools/merge.py", line 812, in _validate_specification
raise MergeError('No common columns to perform merge on')
pandas.tools.merge.MergeError: No common columns to perform merge on
在索引上合并是不好的做法吗?这是不可能的吗?如果是这样的话,我可以将索引转换成一个名为“索引”的新列吗?
感谢
试试这个:'df1.join(df2)' – MaxU