如何根据 pandas 中的时间戳以小时为单位聚合数据？

Question

I have a dataframe a day full from 00:00:00 to 23:59:59 the table bellow is just and example, I can't paste it here because it's too long.

id        sm_log_time                    score 1       score 2  
0         2020-04-15 15:25:49            10            10   
1         2020-04-15 15:38:55            10            10   
2         2020-04-15 15:52:01            10            10   
3         2020-04-15 16:05:07            10            10   
4         2020-04-15 16:18:13            10            10 

And my desired dataframe is something like this. Score 1 and score 2 is sum based on minutes in an hour

id        sm_log_time                    score 1       score 2  
0         2020-04-15 15:00:00            100            200   
1         2020-04-15 16:00:00            230            200  
2         2020-04-15 17:00:00            200            300  
3         2020-04-15 18:00:00            100            300  
4         2020-04-15 19:00:00            100            300

Someone give me this for reference:

times = pd.to_datetime(df.timestamp_col)
df.groupby([times.hour, times.minute]).value_col.sum()

Answer 1

First setting index is necessary. Then use resample method of time series index:

df.set_index('sm_log_time').resample('H').sum().reset_index()

Result:

          sm_log_time  id  score 1  score 2
0 2020-04-15 15:00:00   3       30       30
1 2020-04-15 16:00:00   7       20       20

Please note also id is summed, You may drop it if not necessary. New row number of resulting dataframe is now in index.