Detailed analysis of json serialization in python

This article brings you a detailed analysis of json serialization in python. It has certain reference value. Friends in need can refer to it. I hope it will be helpful to you.

The reason why I write this is because I always get confused and it’s easy to make mistakes. I’ll write it down and check it out if it’s okay.

Serialization refers to changing variables from memory to The process that can be stored or transmitted is called serialization (using dump or dumps), and the variable content is re-read from the serialized object to

It is called deserialization (using load or loads)

If we want to transfer objects between different programming languages, we must serialize the object into a standard format, such as XML , but a better way is to serialize it to JSON, because JSON

is represented as a string, which can be read by all languages, and can also be easily stored on disk or transmitted over the network. JSON is not only a standard format, but also faster than XML,

and can be read directly in the Web page, which is very convenient

The correspondence between JSON and Python's built-in data types is as follows:

The dumps() method returns a str, the content of which is standard JSON. Similarly, the dump() method can directly write JSON to a file_Object. To deserialize JSON into a

Python object, use loads() or the corresponding load() method. The former deserializes the JSON string, and the latter reads the string from file_Object and deserializes it.

Instance

dumpsSerialize an object

data= { "广州市": { "番禺区": ["南村镇", "大石镇", "榄核镇"], "天河区": ["广州塔", "中信广场", "天河又一城"] } }
s = json.dumps(data, sort_keys=True, indent=4, ensure_ascii=False) 
print(s)

dumps: serialize an object sort_keys: sort according to key indent: indent with 4 spaces, output is read-friendly ensure_ascii: can be serialized Convert non-ascii code (Chinese, etc.)

dump: Serialize an object into a file

## The first parameter of dump() is the object to be serialized, and the second parameter is the open file handle. Note that when opening the file, add Open in UTF-8 encoding##

with open("data.json", "w", encoding="UTF-8") as f: 
    s = json.dump(data, f, ensure_ascii=False)

运行此文件之后在统计目录下会有一个data.json文件

反序列化

load:从一个打开的文件句柄加载数据，注意打开的文件编码

with open("data.json", "r", encoding="UTF-8") as f:
    r = json.load(f)
    print(r)

loads： 从一个对象加载数据

a = json.loads(data) 
print(a)

不加ensure_ascii=False 结果是

加入ensure_ascii=False

a = json.loads(data,ensure_ascii=False)  要注意
print(a)

a=json.loads(input("请输入添加的数据："),enconding='utf-8')
print(a)

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