How to Access Nested Python Dictionaries Like Objects?

How to Transform a Nested Python Dictionary into an Object

For convenience, it is desirable to access data using attribute access on dictionaries containing nested dictionaries and lists, akin to JavaScript's object syntax. For instance:

d = {'a': 1, 'b': {'c': 2}, 'd': ["hi", {'foo': "bar"}]}

This data should be accessible as follows:

x = dict2obj(d)
x.a
1
x.b.c
2
x.d[1].foo
bar

Crafting such a function necessitates recursion. Here's an approach to achieve object-like functionality for dictionaries:

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

Usage:

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

Alternative Solution: Namedtuples

For Python versions 2.6 and later, consider utilizing the namedtuple data structure:

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

Now you have a named tuple that behaves like an object, with attribute access for its fields. This provides a concise and highly readable solution.

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