Pandas 按列名聚合數據並用 5 步求和里面的數據

Question

我有這樣的數據：

timestamp                101     100     105    109    110      112
2020-11-01 12:00:00       4       3       5      0      0        1        
2020-11-01 12:01:00       4       9       5      3      1        1
2020-11-01 12:02:00       4       15      0      3      2        2 
2020-11-01 12:03:00       4       15      0      3      2        2
2020-11-01 12:05:00       4       15      0      3      2        3
2020-11-01 12:06:00       4       15      0      3      2        0

我希望它以 5 為步長按列分組並對內部數據求和結果數據框應該在進行聚合之前首先對列進行排序：

timestamp                100     105     110       
2020-11-01 12:00:00       12       0       1               
2020-11-01 12:01:00       18       4       2          
2020-11-01 12:02:00       19       5       4           
2020-11-01 12:03:00       19       5       4  
... 
...        

另外，想用前一行數據添加缺失的行 (12:04:00)

Answer 1

試試

out = df.set_index('timestamp').groupby(lambda x : int(x)//5*5,axis=1).sum()
Out[295]: 
                    100  105  110
timestamp                        
2020-11-0112:00:00    7    5    1
2020-11-0112:01:00   13    8    2
2020-11-0112:02:00   19    3    4
2020-11-0112:02:00   19    3    4
2020-11-0112:02:00   19    3    5
2020-11-0112:02:00   19    3    2