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

0 vote241 views1 answer
Radio button selected event
Python
0 vote272 views1 answer
Python extract email attachment
Python
0 vote277 views1 answer
Api csv python
Python
0 vote258 views1 answer
Get last save id django model
Python
0 vote278 views1 answer
Django model meta ordering multiple ordering
Python Django
0 vote287 views1 answer
Python plot arrays from matrix
Python
1 vote281 views3 answers
Python ssh connection
Python
0 vote256 views2 answers
Ocr image table to excel python
Python
92 votes259 views6 answers
While loops python
Python
0 vote274 views1 answer
Geopandas plot fullscreen
Python