Let say I have my data shaped as in this example
idx = pd.MultiIndex.from_product([[1, 2, 3, 4, 5, 6], ['a', 'b', 'c']],
names=['numbers', 'letters'])
col = ['Value']
df = pd.DataFrame(list(range(18)), idx, col)
print(df.unstack())
The output will be
Value
letters a b c
numbers
1 0 1 2
2 3 4 5
3 6 7 8
4 9 10 11
5 12 13 14
6 15 16 17
letters and numbers are indexes and Value is the only column
The question is how can I replace Value column with columns named as values of index letters?
So I would like to get such output
numbers a b c
1 0 1 2
2 3 4 5
3 6 7 8
4 9 10 11
5 12 13 14
6 15 16 17
where a, b and c are columns and numbers is the only index.
Appreciate your help.