search
HomeBackend DevelopmentPython TutorialPython实现遍历windows所有窗口并输出窗口标题的方法

本文实例讲述了Python实现遍历windows所有窗口并输出窗口标题的方法。分享给大家供大家参考。具体如下:

这段代码可以让Python遍历当前Windows下所有运行程序的窗口,并获得运行窗口的标题输出

#! /usr/bin/env python
# -*- coding: utf-8 -*-
from win32gui import *
titles = set()
def foo(hwnd,mouse):
 #去掉下面这句就所有都输出了,但是我不需要那么多
 if IsWindow(hwnd) and IsWindowEnabled(hwnd) and IsWindowVisible(hwnd):
  titles.add(GetWindowText(hwnd))
EnumWindows(foo, 0)
lt = [t for t in titles if t]
lt.sort()
for t in lt:
 print t

若要输出中文,可以将最后一句改成:

print(t.decode('GB2312'))

将GB2312转码成Unicode输出,这样输出的窗口标题就是正常的中文。

希望本文所述对大家的Python程序设计有所帮助。

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
Why are arrays generally more memory-efficient than lists for storing numerical data?Why are arrays generally more memory-efficient than lists for storing numerical data?May 05, 2025 am 12:15 AM

Arraysaregenerallymorememory-efficientthanlistsforstoringnumericaldataduetotheirfixed-sizenatureanddirectmemoryaccess.1)Arraysstoreelementsinacontiguousblock,reducingoverheadfrompointersormetadata.2)Lists,oftenimplementedasdynamicarraysorlinkedstruct

How can you convert a Python list to a Python array?How can you convert a Python list to a Python array?May 05, 2025 am 12:10 AM

ToconvertaPythonlisttoanarray,usethearraymodule:1)Importthearraymodule,2)Createalist,3)Usearray(typecode,list)toconvertit,specifyingthetypecodelike'i'forintegers.Thisconversionoptimizesmemoryusageforhomogeneousdata,enhancingperformanceinnumericalcomp

Can you store different data types in the same Python list? Give an example.Can you store different data types in the same Python list? Give an example.May 05, 2025 am 12:10 AM

Python lists can store different types of data. The example list contains integers, strings, floating point numbers, booleans, nested lists, and dictionaries. List flexibility is valuable in data processing and prototyping, but it needs to be used with caution to ensure the readability and maintainability of the code.

What is the difference between arrays and lists in Python?What is the difference between arrays and lists in Python?May 05, 2025 am 12:06 AM

Pythondoesnothavebuilt-inarrays;usethearraymoduleformemory-efficienthomogeneousdatastorage,whilelistsareversatileformixeddatatypes.Arraysareefficientforlargedatasetsofthesametype,whereaslistsofferflexibilityandareeasiertouseformixedorsmallerdatasets.

What module is commonly used to create arrays in Python?What module is commonly used to create arrays in Python?May 05, 2025 am 12:02 AM

ThemostcommonlyusedmoduleforcreatingarraysinPythonisnumpy.1)Numpyprovidesefficienttoolsforarrayoperations,idealfornumericaldata.2)Arrayscanbecreatedusingnp.array()for1Dand2Dstructures.3)Numpyexcelsinelement-wiseoperationsandcomplexcalculationslikemea

How do you append elements to a Python list?How do you append elements to a Python list?May 04, 2025 am 12:17 AM

ToappendelementstoaPythonlist,usetheappend()methodforsingleelements,extend()formultipleelements,andinsert()forspecificpositions.1)Useappend()foraddingoneelementattheend.2)Useextend()toaddmultipleelementsefficiently.3)Useinsert()toaddanelementataspeci

How do you create a Python list? Give an example.How do you create a Python list? Give an example.May 04, 2025 am 12:16 AM

TocreateaPythonlist,usesquarebrackets[]andseparateitemswithcommas.1)Listsaredynamicandcanholdmixeddatatypes.2)Useappend(),remove(),andslicingformanipulation.3)Listcomprehensionsareefficientforcreatinglists.4)Becautiouswithlistreferences;usecopy()orsl

Discuss real-world use cases where efficient storage and processing of numerical data are critical.Discuss real-world use cases where efficient storage and processing of numerical data are critical.May 04, 2025 am 12:11 AM

In the fields of finance, scientific research, medical care and AI, it is crucial to efficiently store and process numerical data. 1) In finance, using memory mapped files and NumPy libraries can significantly improve data processing speed. 2) In the field of scientific research, HDF5 files are optimized for data storage and retrieval. 3) In medical care, database optimization technologies such as indexing and partitioning improve data query performance. 4) In AI, data sharding and distributed training accelerate model training. System performance and scalability can be significantly improved by choosing the right tools and technologies and weighing trade-offs between storage and processing speeds.

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

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

ZendStudio 13.5.1 Mac

ZendStudio 13.5.1 Mac

Powerful PHP integrated development environment

Dreamweaver Mac version

Dreamweaver Mac version

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.

SAP NetWeaver Server Adapter for Eclipse

SAP NetWeaver Server Adapter for Eclipse

Integrate Eclipse with SAP NetWeaver application server.