Pandas Multi-index on 2 Levels

I have a json which is in the following format :

data = {
    'Low': {
        '2023.07.01': {"u": "mo", 'N': 1, 'O': 2, "PN": 22, "PO": 34},
        '2023.07.02': {"u": "no", 'N': 1, 'O': 2, "PN": 22, "PO": 34}
    },
    'Medium': {
        '2023.07.01': {"u": "no", 'N': 1, 'O': 2, "PN": 22, "PO": 34},
        '2023.07.02': {"u": "mo", 'N': 1, 'O': 2, "PN": 22, "PO": 34}
    },
    'High': {
        '2023.07.01': {"u": "no", 'N': 122, 'O': 2, "PN": 212, "PO": 334},
        '2023.07.02': {"u": "mo", 'N': 13, 'O': 2, "PN": 2, "PO": 342}
    }
}

How can i create a multi level dataframe with the following structure :

Date    U   Low              Medium            High         
            N   PN  O   PN   N  PN  O   PN     N    PN  O   PN

I have tried various ways like df.stack and df.pivot but I was not able to get the exact format I needed. Any help is appreciated.

Attaching an excel image for more clarity.
Thanks

>Solution :

You can do:

(df.stack().apply(pd.Series)
   .set_index('u',append=True)
   .stack().unstack(level=(1,-1))
)

Output:

               Low                  Medium                  High                       Low
                 N    O    PN    PO      O    PN    PO  New    O     PN     PO    New  New
           u                                                                              
2023.07.01 mo  1.0  2.0  22.0  34.0    NaN   NaN   NaN  NaN  NaN    NaN    NaN    NaN  NaN
           no  NaN  NaN   NaN   NaN    2.0  22.0  34.0  1.0  2.0  212.0  334.0  122.0  NaN
2023.07.02 mo  NaN  NaN   NaN   NaN    2.0  22.0  34.0  1.0  2.0    2.0  342.0   13.0  NaN
           no  NaN  2.0  22.0  34.0    NaN   NaN   NaN  NaN  NaN    NaN    NaN    NaN  1.0