我知道关于这个主题有几个话题，但是我找不到问题。
我有这两个数据集。 1）
Acceleration TimeStamp Orientation Roll GPS TimeStamp
6779 320403257995955 -7.243041 1574434597335
6780 320403257995955 -7.243041 1574434597335
6781 320403257995955 -7.243041 1574434597335
6782 320403257995955 -7.243041 1574434597335
6783 320403257995955 -7.243041 1574434597335
... ... ... ...
665729 323040931878676 -4.196351 1574437233999
665730 323040931878676 -4.196351 1574437233999
665731 323040931878676 -4.196351 1574437233999
665732 323040931878676 -4.196351 1574437233999
665733 323040931878676 -3.414388 1574437233999
<class 'pandas.core.frame.DataFrame'>
Int64Index: 642240 entries, 6779 to 665733
Data columns (total 3 columns):
Acceleration TimeStamp 642240 non-null int64
Orientation Roll 642240 non-null float64
GPS TimeStamp 642240 non-null int64
dtypes: float64(1), int64(2)
memory usage: 19.6 MB
和第二个： 2）
GPS TimeStamp label
0 1574031948506 Test
1 1574031951753 Test
2 1574031963877 Test
3 1574031965392 Test
4 1574058933490 Test
... ... ...
3864 1574436948345 Test
3865 1574436956346 Test
3866 1574436960131 Test
3867 1574436967700 Test
3868 1574436971377 Test
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 3869 entries, 0 to 3868
Data columns (total 2 columns):
GPS TimeStamp 3869 non-null int64
label 3869 non-null object
dtypes: int64(1), object(1)
memory usage: 60.5+ KB
“ GPS时间戳”列的dtype用于两个数据帧int64。
执行中：
df_result = pd.merge(df_short,df2, on="GPS TimeStamp")
返回一个空的数据框。谢谢您的帮助！