Pandas: multiindex group

i have the following data:

import pandas as pd, numpy as npdata = [['id',    'date',      'b_field',   'a_field'],        ['XYX',   '01/01/2024',  100,        101],        ['XYX',   '01/02/2024',  200,        201],        ['ABC',   '01/01/2024',  300,        301],        ['ABC',   '01/02/2024',  400,        401]]id_sort=['ABC', 'XYZ']field_sort=['a_field', 'b_field']df = pd.DataFrame(data[1:], columns=data[:1])

[![enter image description here][1]][1]

I would like to effectively transform this such that if i were to serialize this to a csv or json array it would look like this:

[![enter image description here][2]][2]

where:

1. the ID is grouped at the top (not repeated for each column)
2. sort by ID and then fields
3. DATE label on the same column row as the field

So far i've tried a few things. The closest i have come is the following:

df.set_index('date').reindex(pd.MultiIndex.from_product([id_sort, field_sort]),axis=1).reset_index()

Ofcourse as you can see there are several issues:

1. no values
2. the 'date' label is at the top level, not 2nd
3. dates look like a tuple, not sure why

[![enter image description here][3]][3]

EDIT:For #2, for shifting the date label down, it looks like i can do this (not sure if its the best way):

df = df.rename(columns={'date': '', '':'date'})``  [1]: https://i.sstatic.net/fmdYCJ6t.png  [2]: https://i.sstatic.net/fzlAY1W6.png  [3]: https://i.sstatic.net/z9ZNx5nm.png