Converting a nested python dictionary into a multi-indexed pandas dataframe -


how convert nested dictionary pandas multi-indexed dataframe?

here example:

dct={'outer':{}} in dct:     dct[i]={'middle':{}}     j in dct[i]:         dct[i][j]={}     j in dct[i]:         dct[i][j]['inner']=10  print dct

which outputs:

{'outer': {'middle': {'inner': 10}}}

i want in pandas dataframe looks this:

outer   middle   inner   value                  inner2  value         middle2  inner   value outer2  middle   inner   value                  inner2  value         middle2  inner   value

i'm aware multi-indexing way i'm not sure how make data frame. can give me pointers?

i think can use concat created dict comprehension dataframe.from_dict , last stack - output series multiindex:

dct={'outer':{}, 'outer2':{}} in dct:     dct[i]={'middle':{}, 'middle2':{}}     j in dct[i]:         dct[i][j]={}     j in dct[i]:         dct[i][j]['inner']=10         dct[i][j]['inner2']=20  print (dct) {'outer2': {'middle2': {'inner': 10, 'inner2': 20},  'middle': {'inner': 10, 'inner2': 20}},  'outer': {'middle2': {'inner': 10, 'inner2': 20},  'middle': {'inner': 10, 'inner2': 20}}} 
print (pd.concat({key:pd.dataframe.from_dict(dct[key],orient='index')                    key in dct.keys()}))                 inner  inner2 outer  middle      10      20        middle2     10      20 outer2 middle      10      20        middle2     10      20  df = pd.concat({key:pd.dataframe.from_dict(dct[key], orient='index')                  key in dct.keys()}).stack() print (df) outer   middle   inner     10                  inner2    20         middle2  inner     10                  inner2    20 outer2  middle   inner     10                  inner2    20         middle2  inner     10                  inner2    20 dtype: int64

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