pandas - Aggregate dataframe indices in python -


i want aggregate indices of dataframe groupby function. 

     word  count 0        3 1      5 2        3 3       2 4      1

what want pd.series consists of list(descending order) of indices,

word       [2, 0]         [3]     [4, 1]

i've tried built-in functions groupby, however, couldn't find way aggregate indices. provide hint or solution problem?

i think can first change order of index [::-1], groupby , apply index list. last sort_index:

print (df[::-1].groupby('word', sort=false).apply(lambda x: x.index.tolist()).sort_index()) word      [2, 0]        [3]    [4, 1] dtype: object

another similar solution:

print (df.sort_index(ascending=false)          .groupby('word', sort=false)          .apply(lambda x: x.index.tolist())          .sort_index()) word      [2, 0]        [3]    [4, 1] dtype: object

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