将行转换为列标题

Question

我有以下数据框：

---------------------------------------------------------------
| | TORA |  PS  | Hutan Adat | Tahun | Bulan | Dashboard Name |
---------------------------------------------------------------
|0|  0   |   0  |      0     |  2021 |  Jan  |     Potensi    |   
|1|  0   |   0  |      0     |  2021 |  Jan  |     Usulan     |   
|2|  15  |   0  |      3     |  2021 |  Jan  |     Realisasi  |   
|3|  4   |   6  |      0     |  2021 |  Feb  |     Potensi    | 
|4|  0   |   0  |      0     |  2021 |  Feb  |     Usulan     |   
--------------------------------------------------------------- 

我想要这样。

------------------------------------------------------------
            | Potensi | Usulan | Realisasi | Tahun | Bulan |
------------------------------------------------------------
TORA        |   0     |   0    |  15       | 2021  |  Jan  | 
PS          |   0     |   0    |   0       | 2021  |  Jan  | 
Hutan Adat  |   0     |   0    |   3       | 2021  |  Jan  | 
TORA        |   4     |   0    |  NaN      | 2021  |  Feb  | 
PS          |   6     |   0    |  NaN      | 2021  |  Feb  | 
Hutan Adat  |   0     |   0    |  NaN      | 2021  |  Feb  |
------------------------------------------------------------ 

我尝试过： #1

df = df.set_index('Dashboard Name').T

#2

df = df.pivot_table(['TORA','PS','Hutan Adat'],['Tahun','Bulan'],'Dashboard Name')

#3

df = df.set_index(['Dashboard Name', 'Tahun', 'Bulan'], drop = True).T

但我没有得到我想要的预期输出

Answer 1

首先将Bulan 列设置为有序分类，以便正确排序：

months = ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep',
          'Oct', 'Nov', 'Dec']

df.Bulan = pd.Categorical(df.Bulan, 
                           ordered=True, 
                           categories=months)

然后通过melt 使用旋转来重塑：

df = (df.melt(['Tahun','Bulan','Dashboard Name'])
        .pivot(index=['variable','Tahun','Bulan'], 
                     columns='Dashboard Name', 
                     values='value')
        .sort_index(level=[1,2])
        .reset_index(level=[1,2])
        .rename_axis(index=None, columns=None)
        
        )
print (df)
            Tahun Bulan  Potensi  Realisasi  Usulan
Hutan Adat   2021   Jan      0.0        3.0     0.0
PS           2021   Jan      0.0        0.0     0.0
TORA         2021   Jan      0.0       15.0     0.0
Hutan Adat   2021   Feb      0.0        NaN     0.0
PS           2021   Feb      6.0        NaN     0.0
TORA         2021   Feb      4.0        NaN     0.0

或者：

df = (df.set_index(['Tahun','Bulan','Dashboard Name'])
        .stack()
        .unstack(level=2)
        .reset_index(level=[0,1])
        .rename_axis(index=None, columns=None)
        
        )
print (df)
            Tahun Bulan  Potensi  Realisasi  Usulan
TORA         2021   Jan      0.0       15.0     0.0
PS           2021   Jan      0.0        0.0     0.0
Hutan Adat   2021   Jan      0.0        3.0     0.0
TORA         2021   Feb      4.0        NaN     0.0
PS           2021   Feb      6.0        NaN     0.0
Hutan Adat   2021   Feb      0.0        NaN     0.0

如果最后一列的顺序很重要，则最后一个：

df = df[df.columns[2:].tolist() + df.columns[:2].tolist()]
print (df)
            Potensi  Realisasi  Usulan  Tahun Bulan
Hutan Adat      0.0        3.0     0.0   2021   Jan
PS              0.0        0.0     0.0   2021   Jan
TORA            0.0       15.0     0.0   2021   Jan
Hutan Adat      0.0        NaN     0.0   2021   Feb
PS              6.0        NaN     0.0   2021   Feb
TORA            4.0        NaN     0.0   2021   Feb