Nested dictionary to dataframe

Nested dict to df

user_dict = {12: {'Category 1': {'att_1': 1, 'att_2': 'whatever'},
                  'Category 2': {'att_1': 23, 'att_2': 'another'}},
             15: {'Category 1': {'att_1': 10, 'att_2': 'foo'},
                  'Category 2': {'att_1': 30, 'att_2': 'bar'}}}

pd.DataFrame.from_dict({(i,j): user_dict[i][j] 
                           for i in user_dict.keys() 
                           for j in user_dict[i].keys()},
                       orient='index')


               att_1     att_2
12 Category 1      1  whatever
   Category 2     23   another
15 Category 1     10       foo
   Category 2     30       bar

Source: grepper.com

Similar codes

1 vote96 views1 answer
Does the total number of subatomuc particles change during fusion
Python
0 vote95 views1 answer
Adding function to a varieble in python
Python
3 votes135 views2 answers
Request.get_json() return in flask
Python Flask
2 votes93 views2 answers
Php echo shorthand
Python
1 vote133 views1 answer
Python selenium get style
Python
0 vote102 views1 answer
Pandas dataframe from list how to make the date column an index
Python
-1 vote102 views1 answer
Pandas mask multiple condition
Python
1 vote302 views1 answer
Check datatype python
Python
0 vote95 views1 answer
Check pd.NaT python
Python
70 votes111 views6 answers
Get list of files in directory python
Python