熊猫加入这两个数据帧会导致值错误，但不同版本的错误不同，为什么？

Question

可能重复pandas - Merging on string columns not working (bug?)

尝试合并以下两个数据帧时，我收到了有趣的消息。有谁知道发生了什么？删除 E 可以修复错误。

newvi = pd.DataFrame({'a':['E1000305', 'E1000505', 'E1001071', 'E99836', 'E1003822']})
newsm = pd.DataFrame({'a':['E1000305', 'E1000305', 'E1000305', 'E1000305', 'E1000305']})

newvi.a
#0    E1000305
#1    E1000505
#2    E1001071
#3      E99836
#4    E1003822
#Name: a, dtype: object
newsm.a
#0    E1000305
#1    E1000305
#2    E1000305
#3    E1000305
#4    E1000305
#Name: a, dtype: object

newvi.join(newsm, on='a')

#my computer
#ValueError: columns overlap but no suffix specified: Index([u'a'], dtype='object')

>>> pd.__version__
u'0.18.1'

#server

#ValueError: You are trying to merge on object and int64 columns. If you wish to proceed you should use pd.concat

>>> pd.__version__
'0.24.2'

Answer 1

newvi.join(newsm.set_index('a'), on='a')

将索引设置为“a”似乎可以解决您的错误，结果是否符合您的预期？