如何使用pandas转动数据框，以便变量列成为行？

Question

我目前有以下数据框：

当前df：

            type       part number    part description  waiting period  hours  
0   service item     SOME-X1R-1807                SOME           1 day     24  
1     CONSUMABLE   RANDOM-462-1171         DESCRIPTION          6 days    144  
2          wheel      PART-7W-2326           ABOUT THE          7 days    168  
3           tyre    NUMBER-1R-0762      PARTS FROM THE          8 days    192  
4          other    NUMBER-XL-0747     PREVIOUS COLUMN          9 days    216

我想转动表格，并获得以下结果：

预期df：

                        SOME-X1R-1807    RANDOM-462-1171    PART-7W-2326     NUMBER-1R-076     NUMBER-XL-0747 
part description                 SOME        DESCRIPTION       ABOUT THE    PARTS FROM THE    PREVIOUS COLUMN
            type         service item         CONSUMABLE           wheel              tyre              other
  waiting period                1 day             6 days          7 days            8 days             9 days 
           hours                   24                144             168               192                216

问题：

如何透过数据框来获取此输出？

我尝试过的事情：

• Reshaping 3D Numpy Array to a 2D array
• How to pivot a dataframe in Pandas? [duplicate]
• Reshaping and Pivot Tables
• Make DataFrame.pivot index argument truly optional

Answer 1

我不认为这是支点

df.set_index('part number').T
Out[214]: 
part number         SOME-X1R-1807  RANDOM-462-1171     PART-7W-2326  \
            type     service item       CONSUMABLE            wheel   
part description             SOME       ESCRIPTION        ABOUT THE   
waiting period              1 day           6 days           7 days   
hours                          24              144              168   
part number        NUMBER-1R-0762   NUMBER-XL-0747  
            type             tyre            other  
part description   PARTS FROM THE  PREVIOUS COLUMN  
waiting period             8 days           9 days  
hours                         192              216