数据透视表到数据透视表，通过交换索引和列

Question

supposed my dataset

Name   Month   Value
A          1     120
A          3     130
A          5     140
B          1     80
B          2     110
B          4     90
C          1     150
C          4     120
C          5     190
D          1     100
D          2     105
....

As shown in the data, there are values that do not exist for each month, so first create the first pivot table to fill in the missing values,

df_pivot1 = (df.pivot_table(index='Month',columns='Name', values='Value'))
df_pivot1

Name     A    B    C    D
Month
    1  120   80  150  100
    2  Nan  110  Nan  105
    3  130  Nan  Nan  Nan
    4  Nan   90  120  Nan
    5  140  Nan  190  Nan

and after filling in missing values(data imputation),

Val = Assume that imputation value
Name     A    B    C    D
Month
    1  120   80  150  100
    2  Val  110  Val  105
    3  130  Val  Val  Val
    4  Val   90  120  Val
    5  140  Val  190  Val

Now what I want is to use df_pivot1 so that the index becomes the Name and the column becomes the Month .

output what I want

Month  1   2   3   4   5
Name
   A 120 Val 130 Val 140 
   B  80 110 Val  90 Val
   C 150 Val Val 120 190
   D 100 105 Val Val Val

thank you for reading.

Answer 1

估算值后尝试

df_pivot1 = df_pivot1.T