我有2个数据框需要合并。两者具有相同的日期时间。我需要比较日期时间，并按日期时间将DF A的值添加到相应的DF B行中。让我们看一下数据框：
df [“日期”]：
2013 2016-06-06
2174 2016-06-07
1432 2016-06-08
2035 2016-06-09
278 2016-06-10
2250 2016-06-11
908 2016-06-12
702 2016-06-13
1982 2016-06-14
630 2016-06-15
Name: Date, Length: 81, dtype: object
stocks [“ Date”]
47 2016-06-02
48 2016-06-03
49 2016-06-06
50 2016-06-07
51 2016-06-08
52 2016-06-09
53 2016-06-10
54 2016-06-13
55 2016-06-14
56 2016-06-15
Name: Date, dtype: datetime64[ns]
当我尝试通过以下方式合并数据框时：
df.merge(stocks, left_on='Date', right_on='Date')
我收到以下错误：
Traceback (most recent call last):
File "/anaconda3/envs/py35thesis/lib/python3.5/site-packages/IPython/core/interactiveshell.py", line 3267, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "<ipython-input-72-f2ca0c92995e>", line 1, in <module>
df.merge(stocks, left_on='Date', right_on='Date')
File "/anaconda3/envs/py35thesis/lib/python3.5/site-packages/pandas/core/frame.py", line 6379, in merge
copy=copy, indicator=indicator, validate=validate)
File "/anaconda3/envs/py35thesis/lib/python3.5/site-packages/pandas/core/reshape/merge.py", line 60, in merge
validate=validate)
File "/anaconda3/envs/py35thesis/lib/python3.5/site-packages/pandas/core/reshape/merge.py", line 554, in __init__
self._maybe_coerce_merge_keys()
File "/anaconda3/envs/py35thesis/lib/python3.5/site-packages/pandas/core/reshape/merge.py", line 984, in _maybe_coerce_merge_keys
raise ValueError(msg)
ValueError: You are trying to merge on object and datetime64[ns] columns. If you wish to proceed you should use pd.concat