I have data in a pandas dataFrame which is as below

I have data in a pandas dataFrame which is as below

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

I need my output as follows:

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

This is the code

# Copy ID and Name to new dataFramedf_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

Expected Result

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 . .

Actual Result

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

It seems I am actually going back to square one. Can you please help me on this? Can you also point out where I went wrong in my approach too? Thanks in advance. It would also be better if I put the output to another dataframe so I can write it to excel the same way as the expected output

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