Nested dictionary Python

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'}}

Source: learnbyexample.org

Python nested object to dict

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

Source: stackoverflow.com

Make nested dict from two dict

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)

-1

Source: stackoverflow.com

Similar codes

0 vote205 views1 answer
Python check if image is corrupted
Python
0 vote195 views1 answer
Max fonction code in python
Python
1 vote202 views3 answers
Dataframe groupby to dictionary
Python
0 vote257 views1 answer
Custom auth django channels
Python
0 vote218 views1 answer
K.set_image_dim_ordering('tf') AttributeError: module 'keras.backend' has no attribute 'set_image_dim_ordering'
Python
6 votes216 views1 answer
Save and load a dictionary python
Python
0 vote232 views1 answer
Pandas: How to Drop Rows that Contain a Specific String
Python
7 votes204 views3 answers
How to get file name without extension in python
Python
0 vote195 views2 answers
Python - create frequency table between two columns
Python
0 vote208 views1 answer
Python invert colormap
Python