IDs = ['emp1','emp2','emp3']
EmpInfo = [{'name': 'Bob', 'job': 'Mgr'},
{'name': 'Kim', 'job': 'Dev'},
{'name': 'Sam', 'job': 'Dev'}]
D = dict(zip(IDs, EmpInfo))
print(D)
# Prints {'emp1': {'name': 'Bob', 'job': 'Mgr'},
# 'emp2': {'name': 'Kim', 'job': 'Dev'},
# 'emp3': {'name': 'Sam', 'job': 'Dev'}}# welcome to softhunt.net
# Creating a Dictionary
Dictionary = {0: 'Softhunt', 1: '.net',
2:{'i' : 'By', 'ii' : 'Ranjeet', 'iii' : 'Andani'}}
print('Dictionary', Dictionary)
# Accessing element using key
print(Dictionary[0])
print(Dictionary[2]['i'])
print(Dictionary[2]['ii'])def my_dict(obj):
if not hasattr(obj,"__dict__"):
return obj
result = {}
for key, val in obj.__dict__.items():
if key.startswith("_"):
continue
element = []
if isinstance(val, list):
for item in val:
element.append(my_dict(item))
else:
element = my_dict(val)
result[key] = element
return result
# welcome to softhunt.net
# Creating a Nested Dictionary
Dictionary = {0: 'Softhunt', 1: '.net',
2:{'i' : 'By', 'ii' : 'Ranjeet', 'iii' : 'Andani'}}
print(Dictionary)data = [
[14, 77766, [2, 2]],
[15, 77766, [1, 2]],
[70, 88866, [1, 5]],
[71, 88866, [2, 5]],
[72, 88866, [5, 5]],
[73, 88866, [4, 5]],
[74, 88866, [3, 5]],
[79, 99966, [1, 2]],
[80, 99966, [2, 2]],
]
c = {}
for key, id_, (value, _) in data:
c.setdefault(id_, {})[key] = value
print(c)