Sample implementation of parsing JSON using Python

JSON (JavaScript Object Notation) is a lightweight data exchange format. json module can be used in Python3 to encode and decode JSON data, which contains the following four functions:

Tip: File-like objects are objects that have a read() or write() method. For example, f = open('','r'), where f has a read() method, so f is a file-like object.

In the process of coding and decoding json, python's original type and JSON type will be converted to each other, the specific conversion control is as follows:

Table of Python encoded JSON type conversion equivalents:

JSON decoding to Python type conversion table:

Example of operation :

import json
 
data = {
    'name': 'pengjunlee',
    'age': 32,
    'vip': True,
    'address': {'province': 'GuangDong', 'city': 'ShenZhen'}
}
# Convert Python dictionary types to JSON objects
json_str = (data)
print(json_str) # results {"name": "pengjunlee", "age": 32, "vip": true, "address": {"province": "GuangDong", "city": "ShenZhen"}}
 
# Convert JSON object types to Python dictionaries
user_dic = (json_str)
print(user_dic['address']) # results {'province': 'GuangDong', 'city': 'ShenZhen'}
 
# Output Python dictionaries directly to a file
with open('', 'w', encoding='utf-8') as f:
    (user_dic, f, ensure_ascii=False, indent=4)
 
# Convert JSON strings in class file objects directly into Python dictionaries
with open('', 'r', encoding='utf-8') as f:
    ret_dic = (f)
    print(type(ret_dic)) # Results <class 'dict'>
    print(ret_dic['name']) # in the end pengjunlee

Note: Using eval() enables simple conversions between strings and Python types.

user1 = eval('{"name":"pengjunlee"}')
print(user1['name']) # in the end pengjunlee

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