python reading and writing json file instructions
JSON (JavaScript Object Notation) is a lightweight data exchange format. It is based on a subset of ECMAScript. JSON uses a completely language-independent text format, but also uses conventions similar to the C language family (including C, C++, Java, JavaScript, Perl, Python, etc.). These properties make JSON an ideal data exchange language. It is easy for humans to read and write, and it is also easy for machines to parse and generate (generally used to increase network transmission rates).
JSON consists of list and dict respectively in python.
These are two modules used for serialization:
json: used for conversion between strings and python data types
pickle: used for python-specific types Convert between and python data types
The Json module provides four functions: dumps, dump, loads, load
The pickle module provides four functions: dumps, dump, loads, load
json dumps converts the data type into a string dump converts the data type into a string and stores it in the file loads converts the string into a data type load opens the file and converts it from a string into a data type
Json can exchange data between different languages, while pickle is only used between python. JSON can only serialize the most basic data types, and JSON can only serialize commonly used data types (lists, dictionaries, lists, strings, numbers, etc.), such as date formats and class objects! Josn can't do it. Pickle can serialize all data types, including classes and functions.
Example:
dumps: Convert a dictionary in python to a string
import json test_dict = {'bigberg': [7600, {1: [['iPhone', 6300], ['Bike', 800], ['shirt', 300]]}]} print(test_dict) print(type(test_dict)) #dumps 将数据转换成字符串 json_str = json.dumps(test_dict) print(json_str) print(type(json_str))
loads: Convert string to dictionary
new_dict = json.loads(json_str) print(new_dict) print(type(new_dict))
dump: Write data into json file
with open("../config/record.json","w") as f: json.dump(new_dict,f) print("加载入文件完成...")
load: Load the file Open and convert the string to data type
with open("../config/record.json",'r') as load_f: load_dict = json.load(load_f) print(load_dict) load_dict['smallberg'] = [8200,{1:[['Python',81],['shirt',300]]}] print(load_dict) with open("../config/record.json","w") as dump_f: json.dump(load_dict,dump_f)
The above is the detailed content of python reading and writing json file instructions. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

Solution to permission issues when viewing Python version in Linux terminal When you try to view Python version in Linux terminal, enter python...

How to avoid being detected when using FiddlerEverywhere for man-in-the-middle readings When you use FiddlerEverywhere...

How to teach computer novice programming basics within 10 hours? If you only have 10 hours to teach computer novice some programming knowledge, what would you choose to teach...

When using Python's pandas library, how to copy whole columns between two DataFrames with different structures is a common problem. Suppose we have two Dats...

How does Uvicorn continuously listen for HTTP requests? Uvicorn is a lightweight web server based on ASGI. One of its core functions is to listen for HTTP requests and proceed...

Fastapi ...

Using python in Linux terminal...

Understanding the anti-crawling strategy of Investing.com Many people often try to crawl news data from Investing.com (https://cn.investing.com/news/latest-news)...
