search
HomeBackend DevelopmentPython TutorialIntroduction to the usage of thread objects under Python threads (with examples)

This article brings you an introduction to the usage of thread objects under Python threads (with examples). It has certain reference value. Friends in need can refer to it. I hope it will be helpful to you.

Thread object

The Thread class is used to represent a separate control thread.

Grammar:

t=Thread(group=None,target=None,name=None,args=(),kwargs={})
创建一个新的Thread实例:t

group:为以后扩张保留的,默认为None

target:一个可调用对象,线程启动时,run()方法将调用此对象

name:线程名称,默认创建一个“Thread-N”格式的唯一名称。

args:传递给target函数的参数元祖

kwargs:传递给target的关机字参数的字典。

Common attributes used in methods

t.start():通过在一个单独的控制线程中调用run(),启动线程,此方法只能被调用一次。

t.run():线程启动时将调用此方法。默认情况下,他会调用目标函数target。还可以在Thread的子类中重新定义此方法。

t.join([timeout]):阻塞线程,等待直到线程终止或者出现超时为止。timeout是以秒为单位的超时时间。
线程启动之前不能调用此方法,否则会报错。

t.is_alive:如果线程是活动的,返回True,否则返回False,从start()返回的那一刻开始,线程就是活动的,
直到run()方法终止为止。

t.name:线程名称,这个字符串用于唯一标识,可以根据需要将它更改为更有意义的值,

t.ident:整数线程标识符,如果线程尚未启动,它的值为None。

t.daemon:如果线程是后台线程,该值为True,否则未False。当不存在任何任何活动的非后台进程时,整个程序会退出。

Example 1: Use the Thread object to simply create a thread and start a function

Code:
#利用Thread对象,简单创建一个线程,并启动一个函数
from threading import Thread
import time
def mark(interval):
    print("循环等待时间时间%d,等待前时间:%s"%(interval,time.ctime()))
    time.sleep(interval)
    print("等待后的时间:%s"%time.ctime())

if __name__=="__main__":
    t=Thread(target=mark,args=(3,))
    t.daemon=False#设置为非后台线程,不然会看不到自线程打印效果主线程就直接关闭了
    #下面一句会报错,必须在start()方法之后调用
    #t.join(3)
    t.start()
    #下面语句也会报错,因为start只能调用一次
    #t.start()
    print("end")
Result:

Introduction to the usage of thread objects under Python threads (with examples)

Example 2: Implement the thread class by inheriting Thread

Code:

#通过继承Thread,实现线程类
from threading import Thread
import time

class MyThread(Thread):
    def __init__(self,interval):
        #下面语句用来调用基类方法,必须调用
        Thread.__init__(self)
        self.daemon=False
        self.interval=interval
    def run(self):
        print("循环等待时间时间%d,等待前时间:%s" % (self.interval, time.ctime()))
        time.sleep(self.interval)
        print("等待后的时间:%s" % time.ctime())

if __name__=="__main__":
    t=MyThread(3)
    t.start()
    #为了方便查看打印效果,加了一秒延迟
    time.sleep(1)
    print("end")

Result:

Introduction to the usage of thread objects under Python threads (with examples)

##Related recommendations:


Detailed introduction to thread in python multi-threading

Introduction to basic examples of thread thread in python development

The above is the detailed content of Introduction to the usage of thread objects under Python threads (with examples). For more information, please follow other related articles on the PHP Chinese website!

Statement
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
Python vs. C  : Understanding the Key DifferencesPython vs. C : Understanding the Key DifferencesApr 21, 2025 am 12:18 AM

Python and C each have their own advantages, and the choice should be based on project requirements. 1) Python is suitable for rapid development and data processing due to its concise syntax and dynamic typing. 2)C is suitable for high performance and system programming due to its static typing and manual memory management.

Python vs. C  : Which Language to Choose for Your Project?Python vs. C : Which Language to Choose for Your Project?Apr 21, 2025 am 12:17 AM

Choosing Python or C depends on project requirements: 1) If you need rapid development, data processing and prototype design, choose Python; 2) If you need high performance, low latency and close hardware control, choose C.

Reaching Your Python Goals: The Power of 2 Hours DailyReaching Your Python Goals: The Power of 2 Hours DailyApr 20, 2025 am 12:21 AM

By investing 2 hours of Python learning every day, you can effectively improve your programming skills. 1. Learn new knowledge: read documents or watch tutorials. 2. Practice: Write code and complete exercises. 3. Review: Consolidate the content you have learned. 4. Project practice: Apply what you have learned in actual projects. Such a structured learning plan can help you systematically master Python and achieve career goals.

Maximizing 2 Hours: Effective Python Learning StrategiesMaximizing 2 Hours: Effective Python Learning StrategiesApr 20, 2025 am 12:20 AM

Methods to learn Python efficiently within two hours include: 1. Review the basic knowledge and ensure that you are familiar with Python installation and basic syntax; 2. Understand the core concepts of Python, such as variables, lists, functions, etc.; 3. Master basic and advanced usage by using examples; 4. Learn common errors and debugging techniques; 5. Apply performance optimization and best practices, such as using list comprehensions and following the PEP8 style guide.

Choosing Between Python and C  : The Right Language for YouChoosing Between Python and C : The Right Language for YouApr 20, 2025 am 12:20 AM

Python is suitable for beginners and data science, and C is suitable for system programming and game development. 1. Python is simple and easy to use, suitable for data science and web development. 2.C provides high performance and control, suitable for game development and system programming. The choice should be based on project needs and personal interests.

Python vs. C  : A Comparative Analysis of Programming LanguagesPython vs. C : A Comparative Analysis of Programming LanguagesApr 20, 2025 am 12:14 AM

Python is more suitable for data science and rapid development, while C is more suitable for high performance and system programming. 1. Python syntax is concise and easy to learn, suitable for data processing and scientific computing. 2.C has complex syntax but excellent performance and is often used in game development and system programming.

2 Hours a Day: The Potential of Python Learning2 Hours a Day: The Potential of Python LearningApr 20, 2025 am 12:14 AM

It is feasible to invest two hours a day to learn Python. 1. Learn new knowledge: Learn new concepts in one hour, such as lists and dictionaries. 2. Practice and exercises: Use one hour to perform programming exercises, such as writing small programs. Through reasonable planning and perseverance, you can master the core concepts of Python in a short time.

Python vs. C  : Learning Curves and Ease of UsePython vs. C : Learning Curves and Ease of UseApr 19, 2025 am 12:20 AM

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.

See all articles

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

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

Hot Tools

mPDF

mPDF

mPDF is a PHP library that can generate PDF files from UTF-8 encoded HTML. The original author, Ian Back, wrote mPDF to output PDF files "on the fly" from his website and handle different languages. It is slower than original scripts like HTML2FPDF and produces larger files when using Unicode fonts, but supports CSS styles etc. and has a lot of enhancements. Supports almost all languages, including RTL (Arabic and Hebrew) and CJK (Chinese, Japanese and Korean). Supports nested block-level elements (such as P, DIV),

SecLists

SecLists

SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.

VSCode Windows 64-bit Download

VSCode Windows 64-bit Download

A free and powerful IDE editor launched by Microsoft

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

MantisBT

MantisBT

Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.