How do I access embedded json objects in a Pandas DataFrame?
One solution is just to smash it with the Series constructor:
In [1]: df = pd.DataFrame([[1, {'a': 2}], [2, {'a': 1, 'b': 3}]])In [2]: dfOut[2]: 0 10 1 {u'a': 2}1 2 {u'a': 1, u'b': 3}In [3]: df[1].apply(pd.Series)Out[3]: a b0 2 NaN1 1 3In some cases you'll want to concat this to the DataFrame in place of the dict row:
In [4]: dict_col = df.pop(1) # here 1 is the column nameIn [5]: pd.concat([df, dict_col.apply(pd.Series)], axis=1)Out[5]: 0 a b0 1 2 NaN1 2 1 3If the it goes deeper, you can do this a few times...