1.功能简介：

python与其他语言进行联合的项目开发时，往往需要进行"数据交换"，但是不同语言语法规则不一样，要想进行交流，需要将数据统一转化为json格式的数据.<br />    python数据转为json数据这个过程，称为：序列化<br />    json格式数据转化为python数据，称为：反序列化

2.json格式数据样式

1. json格式数据是字符串，可以大致理解为python数据变成字符串 ```python

   json格式数据往往是字符串

python格式：

[ {“id”: 1, “name”: “武沛齐”, “age”: 18}, {“id”: 2, “name”: “alex”, “age”: 18}, ]

json格式：

‘[{“id”: 1, “name”: “\u6b66\u6c9b\u9f50”, “age”: 18}, {“id”: 2, “name”: “alex”, “age”: 18}]’

2. python格式数据序列化后，有些地方有些差异
```python
data = [
    {"id": 1, "name": "武沛齐", "age": 18},
    {"id": 2, "name": "alex", "age": 18},
    ('wupeiqi',123),
]
# JSON格式
value = '[{"id": 1, "name": "武沛齐", "age": 18}, {"id": 2, "name": "alex", "age": 18},["wupeiqi",123]]'
# 由于json中没有元组，所以元组会转化为列表
# 并且反向转化回来后，也会重新变成列表

3.语法命令

1. 序列化与反序列化 ```python

   知识点1：序列化 json.dumps(data)

   import json

data = [ {“id”: 1, “name”: “武沛齐”, “age”: 18}, {“id”: 2, “name”: “alex”, “age”: 18}, ]

result = json.dumps(data) print(result)

‘[{“id”: 1, “name”: “\u6b66\u6c9b\u9f50”, “age”: 18}, {“id”: 2, “name”: “alex”, “age”: 18}]’

知识点2：反序列化 json.loads(value)

data_string = ‘[{“id”: 1, “name”: “武沛齐”, “age”: 18}, {“id”: 2, “name”: “alex”, “age”: 18}]’

data_list = json.loads(data_string)

print(data_list)

[{“id”: 1, “name”: “武沛齐”, “age”: 18}, {“id”: 2, “name”: “alex”, “age”: 18}]

2. 序列化过程中汉字内容为unicode码，这个时候可以转化为汉字
```python
# 知识点3：序列化中汉字字符串保留  json.dumps(data,ensure_ascii=False)
import json
data  = [
    {"id": 1, "name": "武沛齐", "age": 18},
    {"id": 2, "name": "alex", "age": 18},
]
res = json.dumps(data, ensure_ascii=False)
print(res) # '[{"id": 1, "name": "武沛齐", "age": 18}, {"id": 2, "name": "alex", "age": 18}]'

1. 序列化顺手写入文件，与从文件中反序列化读取 ```python

   知识点4：序列化过程中顺手写入文件 josn.dump(data,file_obj)

import json

data = [ {“id”: 1, “name”: “武沛齐”, “age”: 18}, {“id”: 2, “name”: “alex”, “age”: 18}, ]

with open(‘xxx.json’, mode=’w’, encoding=’utf-8’) as file_object: json.dump(data, file_object)

知识点5：反序列化过程中顺手读取文件 json.load(file_obj)

with open(‘xxx.json’, mode=’w’, encoding=’utf-8’) as file_object: json.load(file_object) ```