dotmap 1.3.0

ordered, dynamically-expandable dot-access dictionary

DotMap

DotMap is a dot-access dict subclass that

• has dynamic hierarchy creation
• 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')

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"
# 	  }
#     }
# }

And many other features involving dots and dictionaries that will be immediately intuitive when used.