JSON and Pickle modules

Python-191. JSON and Pickle module what is serialization and deserialization

• Serialization: is to convert the in-memory data structure into an intermediate format, save the converted intermediate format to the hard disk, or network-based transmission
• Deserialization: An intermediate format that is transferred from a hard disk or a network into an in-memory data structure

2. What is the use of serialization and deserialization

• Saves the state of a program by storing it in an intermediate format to the hard disk
• Data can interact across platforms, and different programming languages can interact with each other by serializing them into an intermediate format
• The text file saved to the hard disk is a string, and when used again, the data in the hard drive needs to be converted to the previous data type state

3. The difference between JSON and pickle modules ① json

• Pros: jison cross-platform, all programming languages can be converted into json formats
• Cons: Only supported python partial data types

Ii pickle

• Pros: python All the data supported is rational
• Cons: pickle can only be recognized python , not cross-platform

Correspondence between ③json type and Python type

4. Serialization of JSON ① json.dumps(内存的数据)

• Description: Single quotation marks are json not recognized, only double quotes are used, and json single quotes are converted to double quotes during serialization.

# 导入json模块import json# 内存中数据dic={‘name‘:‘xut‘,‘age‘:18,‘sex‘:‘male‘}# json序列化：内存中的数据类型---->json中间格式json_str=json.dumps(dic)# print(json_str,type(json_str))# 将序列化中间格式写到文件with open(r‘db.json‘,‘wt‘,encoding=‘utf-8‘) as f:    f.write(json_str)

Ii json.dump(内存中数据对象,文件))

• json.dumpYou can merge the two steps above

import jsondic={‘name‘:‘xut‘,‘age‘:18,‘sex‘:‘male‘}with open(r‘db.json‘,‘wt‘,encoding=‘utf-8‘) as f:    json.dump(dic,f)

③ Summary

• Serialize different data types and write to different files

5. Deserialization of JSON ① json.loads(文件中的中间格式)

JSON and Pickle modules