# DotMap
[](https://travis-ci.com/drgrib/dotmap)
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# 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
```python
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
```python
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)`)
```python
m = DotMap()
m.people.steve.age = 31
```
And key initialization
```python
m = DotMap(a=1, b=2)
```
You can initialize it from `dict` and convert it to `dict`
```python
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
```python
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
```python
m = DotMap()
for i in range(7):
m.counter += 1
print(m.counter)
# 7
```
And automatic addition initializations of any other type
```python
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`
```python
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.
