Home Backend Development Python Tutorial How to determine whether a file exists in python

How to determine whether a file exists in python

Jun 12, 2019 pm 01:58 PM

Usually before reading and writing files, you need to determine whether the file or directory exists, otherwise some processing methods may cause program errors. So it is best to determine whether the file exists before doing any operation.

How to determine whether a file exists in python

#How to determine whether a file exists in python?

To determine whether the file exists, you can use the os module, the Try statement, and the pathlib module.

Here will introduce three methods to determine whether a file or folder exists, using the os module, Try statement, and pathlib module respectively.

1. Use the os module

The os.path.exists() method in the os module is used to check whether the file exists.

Determine whether the file exists

import os
os.path.exists(test_file.txt)
#True

os.path.exists(no_exist_file.txt)
#False
Copy after login

or

import os
os.path.exists(test_dir)
#True

os.path.exists(no_exist_dir)
#False
Copy after login

It can be seen that the os.path.exists() method is used to determine whether the file and the folder are the same.

In fact, there is still a problem with this method. Suppose you want to check whether the file "test_data" exists, but there is a folder called "test_data" under the current path, so a misjudgment may occur. In order to avoid this situation, you can do this:

Only check the file

import os
os.path.isfile("test-data")
Copy after login

With this method, False will be returned if the file "test-data" does not exist, and True will be returned otherwise.

Even if the file exists, you may also need to determine whether the file can be read and written.

Determine whether the file can be read and written

Use the os.access() method to determine whether the file can be read and written.

Syntax:

os.access(path, mode)
Copy after login

path is the file path, mode is the operating mode, there are several types:

os.F_OK: 检查文件是否存在;
os.R_OK: 检查文件是否可读;
os.W_OK: 检查文件是否可以写入;
os.X_OK: 检查文件是否可以执行
Copy after login

This method determines whether the file path exists and various access modes The permission returns True or False.

import os
if os.access("/file/path/foo.txt", os.F_OK):
    print "Given file path is exist."
if os.access("/file/path/foo.txt", os.R_OK):
    print "File is accessible to read"
if os.access("/file/path/foo.txt", os.W_OK):
    print "File is accessible to write"
if os.access("/file/path/foo.txt", os.X_OK):
    print "File is accessible to execute"
Copy after login

2. Use the Try statement

You can use the open() method directly in the program to check whether the file exists and is readable and writable.

Syntax

open(<file/path>)
Copy after login

If the file you open does not exist, the program will throw an error, use the try statement to catch this error.

The program cannot access the file. There may be many reasons:

If the file you open does not exist, a FileNotFoundError exception will be thrown;

The file exists, but there is no permission to access it, and a PersmissionError exception will be thrown.

So you can use the following code to determine whether the file exists:

try:
    f =open()
    f.close()
except FileNotFoundError:
    print "File is not found."
except PersmissionError:
    print "You don&#39;t have permission to access this file."
Copy after login

3. Use the pathlib module

pathlib module In the Python3 version, it is a built-in module, but in Python2, third-party modules need to be installed separately.

Using pathlib requires first using the file path to create a path object. This path can be a file name or a directory path.

Check if the path exists

path = pathlib.Path("path/file")
path.exist()
Copy after login

Check if the path is a file

path = pathlib.Path("path/file")
path.is_file()
Copy after login

The above is the detailed content of How to determine whether a file exists in python. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
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

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 Article

Roblox: Bubble Gum Simulator Infinity - How To Get And Use Royal Keys
3 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
Nordhold: Fusion System, Explained
4 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
Mandragora: Whispers Of The Witch Tree - How To Unlock The Grappling Hook
3 weeks ago By 尊渡假赌尊渡假赌尊渡假赌

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Hot Topics

Java Tutorial
1670
14
PHP Tutorial
1274
29
C# Tutorial
1256
24
Python vs. C  : Learning Curves and Ease of Use Python vs. C : Learning Curves and Ease of Use Apr 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.

Python and Time: Making the Most of Your Study Time Python and Time: Making the Most of Your Study Time Apr 14, 2025 am 12:02 AM

To maximize the efficiency of learning Python in a limited time, you can use Python's datetime, time, and schedule modules. 1. The datetime module is used to record and plan learning time. 2. The time module helps to set study and rest time. 3. The schedule module automatically arranges weekly learning tasks.

Python vs. C  : Exploring Performance and Efficiency Python vs. C : Exploring Performance and Efficiency Apr 18, 2025 am 12:20 AM

Python is better than C in development efficiency, but C is higher in execution performance. 1. Python's concise syntax and rich libraries improve development efficiency. 2.C's compilation-type characteristics and hardware control improve execution performance. When making a choice, you need to weigh the development speed and execution efficiency based on project needs.

Learning Python: Is 2 Hours of Daily Study Sufficient? Learning Python: Is 2 Hours of Daily Study Sufficient? Apr 18, 2025 am 12:22 AM

Is it enough to learn Python for two hours a day? It depends on your goals and learning methods. 1) Develop a clear learning plan, 2) Select appropriate learning resources and methods, 3) Practice and review and consolidate hands-on practice and review and consolidate, and you can gradually master the basic knowledge and advanced functions of Python during this period.

Python vs. C  : Understanding the Key Differences Python vs. C : Understanding the Key Differences Apr 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.

Which is part of the Python standard library: lists or arrays? Which is part of the Python standard library: lists or arrays? Apr 27, 2025 am 12:03 AM

Pythonlistsarepartofthestandardlibrary,whilearraysarenot.Listsarebuilt-in,versatile,andusedforstoringcollections,whereasarraysareprovidedbythearraymoduleandlesscommonlyusedduetolimitedfunctionality.

Python: Automation, Scripting, and Task Management Python: Automation, Scripting, and Task Management Apr 16, 2025 am 12:14 AM

Python excels in automation, scripting, and task management. 1) Automation: File backup is realized through standard libraries such as os and shutil. 2) Script writing: Use the psutil library to monitor system resources. 3) Task management: Use the schedule library to schedule tasks. Python's ease of use and rich library support makes it the preferred tool in these areas.

Python for Web Development: Key Applications Python for Web Development: Key Applications Apr 18, 2025 am 12:20 AM

Key applications of Python in web development include the use of Django and Flask frameworks, API development, data analysis and visualization, machine learning and AI, and performance optimization. 1. Django and Flask framework: Django is suitable for rapid development of complex applications, and Flask is suitable for small or highly customized projects. 2. API development: Use Flask or DjangoRESTFramework to build RESTfulAPI. 3. Data analysis and visualization: Use Python to process data and display it through the web interface. 4. Machine Learning and AI: Python is used to build intelligent web applications. 5. Performance optimization: optimized through asynchronous programming, caching and code

See all articles