python - DataFrame from list of dicts of dicts -


i have list of dicts each key in dict contains dict:

in [256]: data_list out[256]:  [{'1111': {'index': 602, 'prop_1': 0, 'prop_2': 1},   '2222': {'index': 602, 'prop_1': 0, 'prop_2': 1}},  {'1111': {'index': 603, 'prop_1': 0, 'prop_2': 0},   '2222': {'index': 603, 'prop_1': 1, 'prop_2': 1}}]  in [257]: index = {i.pop('index') x in data_list in x.values()}  in [258]: df = dataframe(data_list, index=index)  in [259]: df out[259]:                               1111                          2222 602  {u'prop_1': 0, u'prop_2': 1}  {u'prop_1': 0, u'prop_2': 1} 603  {u'prop_1': 0, u'prop_2': 0}  {u'prop_1': 1, u'prop_2': 1}

how can create following or similar pandas.dataframe?

index1 index2    prop_1    prop_2 602    1111      0         1        2222      0         1 603    1111      0         0        2222      1         1

considering can transform series of dictionaries multiple columns data frame doing .apply(pd.series), can stack() original data frame multiindex series , use .apply(pd.series):

df.stack().apply(pd.series)  #            prop_1  prop_2 # 602   1111      0       1 #       2222      0       1 # 603   1111      0       0 #       2222      1       1

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