my initial data
Date Copper Zinc Aluminium US HRC
2021-04-21 9448.0 2815.0 2377.0 1360.0
2021-04-27 9877.0 2929.0 2398.0 1360.0
%change 5.0 4.0 1.0 0.0
after I transpose using df.T my output was,
0 1 2
Copper 9448 9876 4.53853
Zinc 2815 2929 4.04973
Aluminium 2377 2398 0.874979
US HRC 1360 1360 0
Date 2021-04-21 2021-04-27 %change
But I want my final output to look like
2021-04-21 2021-04-27 %change
Copper 9448 9876 4.53853
Zinc 2815 2929 4.04973
Aluminium 2377 2398 0.874979
US HRC 1360 1360 0
Use dt.set_index('Date').T
After transpose, row index will become column index. So, if you want the column index show the value of Date column, you can make it row index before transpose.
print(df)
Date Copper Zinc Aluminium US_HRC
0 2021-04-21 9448.0 2815.0 2377.0 1360.0
1 2021-04-27 9877.0 2929.0 2398.0 1360.0
2 %change 5.0 4.0 1.0 0.0
print(df.set_index('Date').T)
Date 2021-04-21 2021-04-27 %change
Copper 9448.0 9877.0 5.0
Zinc 2815.0 2929.0 4.0
Aluminium 2377.0 2398.0 1.0
US_HRC 1360.0 1360.0 0.0