如果我有以下数据框：
11-May 12-May 13-May 14-May Distance
0 1 6 11 16 10
1 2 7 12 17 20
2 3 8 13 18 30
3 4 9 14 19 40
4 5 10 15 20 50
并且，我想重新组织为三个列，如：
Distance variable value
0 10 11-May 1
1 20 11-May 2
2 30 11-May 3
3 40 11-May 4
4 50 11-May 5
5 10 12-May 6
6 20 12-May 7
7 30 12-May 8
8 40 12-May 9
9 50 12-May 10
10 10 13-May 11
11 20 13-May 12
12 30 13-May 13
13 40 13-May 14
14 50 13-May 15
15 10 14-May 16
16 20 14-May 17
17 30 14-May 18
18 40 14-May 19
19 50 14-May 20
我怎样才能在熊猫中做到这一点？
答案 0 :(得分：3)
使用unstack
In [1940]: dff.set_index('Distance').unstack().reset_index()
Out[1940]:
level_0 Distance 0
0 11-May 10 1
1 11-May 20 2
2 11-May 30 3
3 11-May 40 4
4 11-May 50 5
5 12-May 10 6
6 12-May 20 7
7 12-May 30 8
8 12-May 40 9
9 12-May 50 10
10 13-May 10 11
11 13-May 20 12
12 13-May 30 13
13 13-May 40 14
14 13-May 50 15
15 14-May 10 16
16 14-May 20 17
17 14-May 30 18
18 14-May 40 19
19 14-May 50 20
使用melt
In [1943]: dff.melt('Distance')
Out[1943]:
Distance variable value
0 10 11-May 1
1 20 11-May 2
2 30 11-May 3
3 40 11-May 4
4 50 11-May 5
5 10 12-May 6
6 20 12-May 7
7 30 12-May 8
8 40 12-May 9
9 50 12-May 10
10 10 13-May 11
11 20 13-May 12
12 30 13-May 13
13 40 13-May 14
14 50 13-May 15
15 10 14-May 16
16 20 14-May 17
17 30 14-May 18
18 40 14-May 19
19 50 14-May 20
其中，
In [1941]: dff
Out[1941]:
11-May 12-May 13-May 14-May Distance
0 1 6 11 16 10
1 2 7 12 17 20
2 3 8 13 18 30
3 4 9 14 19 40
4 5 10 15 20 50