DotMap

Install

pip3 install dotmap

Upgrade

Get updates for current installation

pip3 install --upgrade dotmap

Features

DotMap is a dot-access dict subclass that

has dynamic hierarchy creation (autovivification)
can be initialized with keys
easily initializes from dict
easily converts to dict
is ordered by insertion

The key feature is exactly what you want: dot-access

from dotmap import DotMap
m = DotMap()
m.name = 'Joe'
print('Hello ' + m.name)
# Hello Joe

However, DotMap is a dict and you can treat it like a dict as needed

print(m['name'])
# Joe
m.name += ' Smith'
m['name'] += ' Jr'
print(m.name)
# Joe Smith Jr

It also has fast, automatic hierarchy (which can be deactivated by initializing with DotMap(_dynamic=False))

m = DotMap()
m.people.steve.age = 31

And key initialization

m = DotMap(a=1, b=2)

You can initialize it from dict and convert it to dict

d = {'a':1, 'b':2}

m = DotMap(d)
print(m)
# DotMap(a=1, b=2)

print(m.toDict())
# {'a': 1, 'b': 2}

And it has iteration that is ordered by insertion

m = DotMap()

m.people.john.age = 32
m.people.john.job = 'programmer'
m.people.mary.age = 24
m.people.mary.job = 'designer'
m.people.dave.age = 55
m.people.dave.job = 'manager'

for k, v in m.people.items():
	print(k, v)
print

# john DotMap(age=32, job='programmer')
# mary DotMap(age=24, job='designer')
# dave DotMap(age=55, job='manager')

It also has automatic counter initialization

m = DotMap()
for i in range(7):
	m.counter += 1
print(m.counter)
# 7

And automatic addition initializations of any other type

m = DotMap()
m.quote += 'lions'
m.quote += ' and tigers'
m.quote += ' and bears'
m.quote += ', oh my'
print(m.quote)
# lions and tigers and bears, oh my

There is also built-in pprint as dict or json for debugging a large DotMap

m.pprint()
# {'people': {'dave': {'age': 55, 'job': 'manager'},
#             'john': {'age': 32, 'job': 'programmer'},
#             'mary': {'age': 24, 'job': 'designer'}}}
m.pprint(pformat='json')
# {
#     "people": {
#         "dave": {
#	      "age": 55,
#	      "job": "manager"
# 	  },
# 	  "john": {
#	      "age": 32,
#	      "job": "programmer"
# 	  },
# 	  "mary": {
#	      "age": 24,
#	      "job": "designer"
# 	  }
#     }
# }