需要使用熊猫以以下格式获取输出

Question

我的数据在pandas dataFrame中，如下所示

    Employee ID                        Employee Name  Day 1  Day 2       ...  Day 30  Day 31
0       1                              EMPLOYEE1       8.75   8.75       ...    8.75    8.75 
1       2                              EMPLOYEE2       0.00   8.00       ...    8.00    8.00

我需要如下输出：

1  Day 1  EMPLOYEE1 8.75
1  Day 2  EMPLOYEE1 8.75
.
.
1  Day 31 EMPLOYEE1 8.75
2  Day 1  EMPLOYEE2 0.00
2  Day 2  EMPLOYEE2 8.00
.
.
2  Day 31 EMPLOYEE2 8.00

这是代码

# Copy ID and Name to new dataFrame

df_EID = df[['Employee ID', 'Employee Name']].copy()

# transpose the and copy the original dataframe to a new one

df_transpose = df.transpose()

# make necessary changes to the transpose so that the column headers are the
# Employee IDs and also delete the first index which has those IDs

df_transpose = df_transpose.rename(columns=df_transpose.iloc[0])
df_transpose.drop(df_transpose.index[0])

# run Query to check just for the first employee

df_transpose[df_EID['Employee ID'][0:]]

#iterate

预期结果

1  Day 1  EMPLOYEE1 8.75
1  Day 2  EMPLOYEE1 8.75
.
.
1  Day 31 EMPLOYEE1 8.75
2  Day 1  EMPLOYEE2 0.00
2  Day 2  EMPLOYEE2 8.00
.
.
2  Day 31 EMPLOYEE2 8.00
.
.

实际结果

                           1       ...                     100
Employee ID                1       ...                     100
Employee Name      EMPLOYEE1       ...             EMPLOYEE100
Day 1                   8.75       ...                    8.75
.
.
.

Day 30                  8.75       ...                    8.75
Day 31                  8.75       ...                    8.75
Total Hours           188.25       ...                   191.5

看来我实际上要回到正题了。你能帮我吗？您还能指出我的方法中也出错了吗？提前致谢。 如果将输出放到另一个数据框中，这样可以更好地将其写为与预期输出相同的方式，那就更好了