1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
|
# DotMap
[](https://travis-ci.com/drgrib/dotmap)
[](https://www.paypal.com/donate?business=N2GLXLS5KBFBY&item_name=Chris+Redford¤cy_code=USD)
# 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.
|
