• nested dict to flatten dict

import pandas as pd
 
d = {'a': 1,
     'c': {'a': 2, 'b': {'x': 5, 'y' : 10}},
     'd': [1, 2, 3]}
 
df = pd.json_normalize(d, sep='.')
 
print(df.to_dict(orient='records')[0])
 
# https://stackoverflow.com/questions/6027558/flatten-nested-dictionaries-compressing-keys

• nested dict to object

from types import SimpleNamespace
import json
 
 
class Config(SimpleNamespace):
    def __init__(self, config_dict):
        super().__init__(**config_dict)
 
 
def dict2obj(d):
    return json.loads(json.dumps(d), object_hook=Config)
 
config_dict = {'a': 1, 'b': {'c': 2}, 'd': ['hi', {'foo': 'bar'}]}
config = dict2obj(config_dict)
print(config.a)
 
# https://stackoverflow.com/questions/1305532/convert-nested-python-dict-to-object

• nested dict to namedtuple

from collections import namedtuple
 
 
def make_config(cfg):
    if isinstance(cfg, dict):
        return make_config_dict(cfg)
    elif isinstance(cfg, list):
        return make_config_list(cfg)
    else:
        raise NotImplementedError()
 
 
def make_config_dict(cfg):
    Config = namedtuple('Config', cfg.keys())
    values = list()
    for value in cfg.values():
        if isinstance(value, dict):
            value = make_config_dict(value)
        elif isinstance(value, list):
            value = make_config_list(value)
        values.append(value)
    return Config(*values)
 
 
def make_config_list(cfg):
    values = list()
    for value in cfg:
        if isinstance(value, dict):
            value = make_config_dict(value)
        elif isinstance(value, list):
            value = make_config_list(value)
        values.append(value)
    return values
 
config_dict = {'a': 1, 'b': {'c': 2}, 'd': ['hi', {'foo': 'bar'}]}
config = make_config(config_dict)
print(config)