Question

我的数据帧如下：

StationID   DateTime    Channel Count
0   1   2017-10-01 00:00:00 1   212
1   1   2017-10-01 00:00:00 2   157
2   1   2017-10-01 00:00:00 3   258
3   1   2017-10-01 00:00:00 4   158
4   1   2017-10-01 01:00:00 1   154
5   1   2017-10-01 01:00:00 2   141
6   1   2017-10-01 01:00:00 3   213
7   1   2017-10-01 01:00:00 4   132
8   1   2017-10-01 02:00:00 1   153
9   1   2017-10-01 02:00:00 2   135
10  1   2017-10-01 02:00:00 3   187
11  1   2017-10-01 02:00:00 4   127
12  1   2017-10-01 03:00:00 1   199
13  1   2017-10-01 03:00:00 2   87
14  1   2017-10-01 03:00:00 3   129
15  1   2017-10-01 03:00:00 4   92
16  1   2017-10-01 04:00:00 1   59

我希望按列每小时转换数据框

StationID   Date    Channel   Hour1 Hour2 ....... Hour24
1           2017-10-01  1     212    154 ...........
1           2017-10-01  2     157    141 ...........

等等

Answer 1

请注意，您使用unstack

时有0小时

df['Hour']=df.DateTime.dt.hour

df['Date']=df.DateTime.dt.date
df.set_index(['Date','StationID','Channel','Hour'])['Count'].unstack().reset_index()
Out[110]: 
Hour       Date  StationID  Channel      0      1      2      3     4
0    2017-10-01          1        1  212.0  154.0  153.0  199.0  59.0
1    2017-10-01          1        2  157.0  141.0  135.0   87.0   NaN
2    2017-10-01          1        3  258.0  213.0  187.0  129.0   NaN
3    2017-10-01          1        4  158.0  132.0  127.0   92.0   NaN

或prefix的{{1}}

Hour

每小时变换数据帧

1 个答案: