/Python/Create dictionary without removing duplicates from dataframe

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'}]}

Source: stackoverflow.com

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'}]}

Source: stackoverflow.com

Similar codes

0 vote186 views2 answers
Install kivyMD from git
Python
1 vote178 views2 answers
First row as column df
Python
15 votes178 views6 answers
Infinity in python
Python
0 vote167 views1 answer
Rename last layer of keras model
Python
0 vote169 views1 answer
Root = tk() python 3
Python
0 vote189 views1 answer
The python path in your debug configuration is invalid.
Python
10 votes183 views2 answers
Prime number
Python
5 votes166 views3 answers
Python add
Python
2 votes179 views1 answer
Discord.py check if user has role
Python
9 votes175 views2 answers
Import numpy python
Python