How can I convert a nested Python dictionary into an object-like structure for attribute-based data retrieval?

Converting Nested Python Dicts to Objects

Accessor methods offer a convenient way to retrieve data from complex data structures, allowing for intuitive object-oriented navigation. However, Python's native dictionaries inherently lack this functionality.

Problem: How can we convert a nested Python dictionary into an object-like structure, enabling attribute-based data retrieval?

Answer:

Using Namedtuples (Python 2.6 and Later)

For newer versions of Python (2.6 and onward), namedtuples provide an elegant solution. These represent immutable custom data types with named fields:

from collections import namedtuple

MyStruct = namedtuple('MyStruct', 'a b d')
s = MyStruct(a=1, b={'c': 2}, d=['hi'])

print(s.a, s.b['c'], s.d[0])
# Output: 1 2 hi

Using a Custom Struct Class

Alternatively, you can create a custom Struct class that mimics the behavior of objects:

class Struct:
    def __init__(self, **entries):
        self.__dict__.update(entries)

args = {'a': 1, 'b': 2}
s = Struct(**args)

print(s.a, s.b)
# Output: 1 2

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