create dictionary without removing duplicates from dataframe
df.groupby(level=0).apply(lambda x: x.to_dict('r')).to_dict()
# {'bob': [{'age': 20, 'name': 'bob'}, {'age': 30, 'name': 'bob'}],
# 'jim': [{'age': 25, 'name': 'jim'}]}create dictionary without removing duplicates from dataframe
df.groupby(level=0).apply(lambda x: x.to_dict('r')).to_dict()
# {'bob': [{'age': 20, 'name': 'bob'}, {'age': 30, 'name': 'bob'}],
# 'jim': [{'age': 25, 'name': 'jim'}]}create dictionary without removing duplicates from dataframe
{k: g.to_dict(orient='records') for k, g in df.groupby(level=0)}
# {'bob': [{'age': 20, 'name': 'bob'}, {'age': 30, 'name': 'bob'}],
# 'jim': [{'age': 25, 'name': 'jim'}]}Copyright © 2021 Codeinu
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