I need a little help. I want to convert from dataframe into nested dictionaries.
A B C 0 1 0 1.5 1 1 3,2 6.09 2 1 4 7.9 3 2 5 9.5 4 2 0 1.2 5 3 3 2.4
and i want to convert in this format:
dict={1:[{'0':1.5},{'3,2':6.09},{'4':7.9}],2:[{'5':9.5},{'0':1.2}],3:[{'3',2.4}]}
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Answer
We can do groupby
with agg
dict
items
d = df.set_index('B').groupby('A').agg(lambda x : [{k:v} for k, v in dict(x).items()])['C'].to_dict() Out[574]: {1: [{'0': 1.5}, {'3,2': 6.09}, {'4': 7.9}], 2: [{'5': 9.5}, {'0': 1.2}], 3: [{'3': 2.4}]}