| Name | gqylpy-dict JSON |
| Version |
1.2.6
JSON |
| download |
| home_page | http://gqylpy.com |
| Summary | `gqylpy-dict` is based on the built-in `dict` and serves as an enhancement to it. It can do everything the built-in `dict` can do, and even more. |
| upload_time | 2024-05-27 07:18:00 |
| maintainer | None |
| docs_url | None |
| author | 竹永康 |
| requires_python | >=3.8 |
| license | WTFPL,Apache-2.0 |
| keywords |
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
[<img alt='LOGO' src='http://gqylpy.com/static/img/favicon.ico' height='21' width='21'/>](http://www.gqylpy.com)
[](https://github.com/gqylpy/gqylpy-dict/releases/latest)
[](https://pypi.org/project/gqylpy_dict)
[](https://github.com/gqylpy/gqylpy-dict/blob/master/LICENSE)
[](https://pepy.tech/project/gqylpy_dict)
# gqylpy-dict
English | [中文](https://github.com/gqylpy/gqylpy-dict/blob/master/README_CN.md)
> `gqylpy-dict` is based on the built-in `dict` and serves as an enhancement to it. It can do everything the built-in `dict` can do, and even more. _(Designed specifically for the neurologically diverse)_
<kbd>pip3 install gqylpy_dict</kbd>
```python
>>> from gqylpy_dict import gdict
>>> gdict == dict
True
>>> gdict is dict
False
>>> x = {'a': [{'b': 'B'}]}
>>> x = gdict(x)
>>> x.a[0].b
'B'
>>> x.deepget('a[0].b')
'B'
```
Let's delve deeper into the functionalities and usages of the `gdict` class.
Firstly, the `gdict` class is a custom dictionary class that inherits from Python's built-in `dict` class. A special feature of `gdict` is its support for accessing and modifying key-value pairs in the dictionary using dot notation (`.`). This means we can access dictionary values as if they were object attributes. For instance, given a dictionary `{'name': 'Tom', 'age': 25}`, we can define a `gdict` object as follows:
```python
my_dict = gdict({'name': 'Tom', 'age': 25})
```
Using dot notation, we can access the dictionary values:
```python
my_dict.name # 'Tom'
my_dict.age # 25
```
We can even modify the dictionary values:
```python
my_dict.name = 'Jerry'
```
At this point, the value associated with the `'name'` key in the dictionary has been changed to `'Jerry'`.
Additionally, `gdict` supports multi-level nested data structures, meaning the keys and values stored in a `gdict` object can also be dictionaries. For example:
```python
my_dict = gdict({
'personal_info': {'name': 'Tom', 'age': 25},
'work_info': {'company': 'ABC Inc.', 'position': 'Engineer'}
})
```
We can access and modify values in nested dictionaries:
```python
my_dict.personal_info.name # 'Tom'
my_dict.work_info.position = 'Manager'
```
Aside from dot notation, we can also access and modify values in a `gdict` object using traditional dictionary access methods:
```python
my_dict['personal_info']['name'] # 'Tom'
my_dict['work_info']['position'] = 'Manager'
```
Lastly, the `gdict` class supports various input formats during instantiation:
```python
my_dict = gdict({'name': 'Tom', 'age': 25})
my_dict = gdict(name='Tom', age=25)
my_dict = gdict([('name', 'Tom'), ('age', 25)])
```
In summary, the design and implementation of the `gdict` class provide a convenient and extensible data structure that allows for more flexible manipulation of Python dictionary objects.
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