python - Can Pandas Groupby Aggregate into a List of Objects -


while panda's groupby able aggregate data functions sum , mean, there way aggregate list of objects, keys of these objects corresponds column names these values aggregated from?

question:

if data looked this

       b    c       1    10   22     1    12   20     1    11   8     1    10   10     2    11   13     2    12   10      3    14   0

how can pandas transform hypothetical output:

       d       1    [{'b':10, 'c':22}, {'b':12, 'c':20}, {'b':11, 'c':8}, {'b':10, 'c':10}]     2    [{'b':11, 'c':13}, {'b':12, 'c':10}]     3    [{'b':14, 'c':0}]

i wasn't sure work, seems to.

in [35]: df.groupby('a').apply(lambda x: x.to_dict(orient='records')) out[35]:  1    [{u'a': 1, u'c': 22, u'b': 10}, {u'a': 1, u'c'... 2    [{u'a': 2, u'c': 13, u'b': 11}, {u'a': 2, u'c'... 3                       [{u'a': 3, u'c': 0, u'b': 14}] dtype: object

depending on you're trying accomplish may more natural iterate of groupby object , convert, this:

in [36]: a, df_gb in df.groupby('a'):     ...:     d = df_gb.to_dict(orient='records')     ...:

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