removing duplicates from dictionary python

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1student_data = {'id1': 
2   {'name': ['Sara'], 
3    'class': ['V'], 
4    'subject_integration': ['english, math, science']
5   },
6 'id2': 
7  {'name': ['David'], 
8    'class': ['V'], 
9    'subject_integration': ['english, math, science']
10   },
11 'id3': 
12    {'name': ['Sara'], 
13    'class': ['V'], 
14    'subject_integration': ['english, math, science']
15   },
16 'id4': 
17   {'name': ['Surya'], 
18    'class': ['V'], 
19    'subject_integration': ['english, math, science']
20   },
21}
22
23result = {}
24
25for key,value in student_data.items():
26    if value not in result.values():
27        result[key] = value
28
29print(result)
30
31

1# set the dict to a tuple for hashability, then use {} for set literal and retrn each item to dict. 
2[dict(t) for t in {tuple(d.items()) for d in l}]
3# using two maps()
4list(map(lambda t: dict(t), set(list(map(lambda d: tuple(d.items()), l)))))

1df.groupby(level=0).apply(lambda x: x.to_dict('r')).to_dict()
2# {'bob': [{'age': 20, 'name': 'bob'}, {'age': 30, 'name': 'bob'}],
3#  'jim': [{'age': 25, 'name': 'jim'}]}
4

1{k: g.to_dict(orient='records') for k, g in df.groupby(level=0)}
2# {'bob': [{'age': 20, 'name': 'bob'}, {'age': 30, 'name': 'bob'}],
3#  'jim': [{'age': 25, 'name': 'jim'}]}
4

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