熊猫将小时索引整数转换为日期时间

Question

i have a Pandas dataframe like this:

   Date    Hour Actual      
2018-06-01  0   0.000000
2018-06-01  1   0.012000
2018-06-01  2   0.065000
2018-06-01  3   0.560000
...

I want to convert these Hour integer indexes and add to date so that it is a Pandas' datetime object. The result should be like this:

       Date            Actual       
2018-06-01 00:00:00   0.000000
2018-06-01 01:00:00   0.012000
2018-06-01 02:00:00   0.065000
2018-06-01 03:00:00   0.560000
...

What would be an efficient way to do that? Does Panda provide functionality for converting integer indexes into datetime objects?

Answer 1

Use to_datetime with to_timedelta and pop for extract column time :

df['Date'] = pd.to_datetime(df['Date']) + pd.to_timedelta(df.pop('Hour'), unit='H')
print (df)
                 Date  Actual
0 2018-06-01 00:00:00   0.000
1 2018-06-01 01:00:00   0.012
2 2018-06-01 02:00:00   0.065
3 2018-06-01 03:00:00   0.560