Home Backend Development Python Tutorial Implementation method of reading and writing txt files and json files in python

Implementation method of reading and writing txt files and json files in python

Dec 05, 2016 pm 01:27 PM
python

The first step is to open the file. There are two functions to choose from: open() and file()

①. f = open('file.txt', 'w')
...
file.close()

②. f = file('file.json','r')
...

file.close()# Remember to close the file at the end when opening it!

open() and file() are both built-in functions of Python. They return a file object and have the same function and can be replaced at will. The usage syntax is:

f = open(fileName, access_mode='r', buffering=-1)

The first parameter is the file name. Parameters 2 and 3 have default values. Parameter 2 determines the reading mode ‘r’? Or is it written with 'w'? Or open the file in another way.

Opening methods are:

r - read; w - write; a - append, start writing from EOF, that is, write at the end of the file

r+ w+ a+ —— They are all opened in reading and writing mode

rb - binary reading; wb - binary writing; rb+ wb+ ab+ - binary reading and writing

Example:

fp = open('C:\Users\MPC\Desktop\说明.txt')# 默认以读的方式打开

fp = open('test.txt','w')# 写方式打开

fp = open('data.json','a')#追加方式打开
Copy after login

The second step is to operate the file

After getting the handle of the file object (such as fp in the example), you can operate the file.

The built-in operation methods of file objects include: input, output, movement within files, and miscellaneous operations

1. Enter

Function: read(), readline(), readlines()

Read the contents of the file into a string variable/list

read(): Read the entire file into a string variable

Example:

fp = open('C:\Users\MPC\Desktop\说明.txt')

all_file = fp.read()
Copy after login

read() has an optional size parameter, the default is -1, which means the file will be read to the end (EOF)

readline(): Read a line in the open file, and then return the entire line including the line terminator to the string variable

readline() also has an optional parameter size, the default is -1, which means reading stops at the end of the line

readlines(): Read the entire file and return a string list. Each element in the list is a string, representing a line

Example:

fp = open('C:\Users\MPC\Desktop\说明.txt')

lines = fp.readlines()

for line in lines:

...

fp.close()
Copy after login

or lines 2 and 3 are abbreviated as: for line in fp.readlines():

After python2.3 due to the introduction of iterators and file iteration (i.e. file objects become their own iterators),

There is a more efficient way to implement the above example:

fp = open('C:\Users\MPC\Desktop\说明.txt')

for line in fp:

...

fp.close()
Copy after login

Recommended to use this method!

2. Output

Function: write(), writelines()

Output string/list to file

write(): Output string to file

>>>f= open('test.txt','w')

>>>f.write('Helloworld!')

>>>f.close()

>>>f= open('test1.txt','w')

>>>f.write('Welcome\nto\n China!')

>>>f.close()

>>>f= open('test1.txt','w')

>>>f.write('Welcome\nto\n China!')

>>>f.close()
Copy after login

writelines(): Write a list of strings to a file. Note that line terminators are not automatically added. If necessary, line terminators must be added manually at the end of each line.

What does it mean? Look at the example below:

>>>s= ['你好','伙计']

>>>f= open('test.txt','w')

>>>f.writelines(s)

>>>f.close()

>>>s= ['你好\n','伙计']

>>>f= open('test.txt','w')

>>>f.writelines(s)

>>>f.close()

>>>f = open(r'I:\python\test.txt','w')

>>>f.write('First line\n')

>>>f.write('Second line\n')

>>>f.write('Third line\n')

>>>f.close()

>>>lines = list(open(r'I:\python\test.txt'))

>>>lines

['Firstline\n', 'Second line\n', 'Third line\n']

>>>first,second,third = open(r'I:\python\test.txt')

>>>first

'Firstline\n'

>>>second

'Secondline\n'

>>>third

'Thirdline\n'
Copy after login

3. Move within files

Function: seek() tell()

seek(): Move the file reading pointer to the specified position

tell(): Returns the position of the file reading pointer

Three modes of

seek():

(1) f.seek(p,0) Move the p-th byte of the file to the absolute position

(2) f.seek(p,1) Move to p bytes after the current position

(3) f.seek(p,2) Move to p bytes after the end of the relative article

The above is the entire implementation method of reading and writing txt files and json files in Python brought to you by the editor. I hope you will support Script Home~

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

AI Hentai Generator

AI Hentai Generator

Generate AI Hentai for free.

Hot Article

R.E.P.O. Energy Crystals Explained and What They Do (Yellow Crystal)
3 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. Best Graphic Settings
3 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. How to Fix Audio if You Can't Hear Anyone
4 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
WWE 2K25: How To Unlock Everything In MyRise
1 months 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)

HadiDB: A lightweight, horizontally scalable database in Python HadiDB: A lightweight, horizontally scalable database in Python Apr 08, 2025 pm 06:12 PM

HadiDB: A lightweight, high-level scalable Python database HadiDB (hadidb) is a lightweight database written in Python, with a high level of scalability. Install HadiDB using pip installation: pipinstallhadidb User Management Create user: createuser() method to create a new user. The authentication() method authenticates the user's identity. fromhadidb.operationimportuseruser_obj=user("admin","admin")user_obj.

Navicat's method to view MongoDB database password Navicat's method to view MongoDB database password Apr 08, 2025 pm 09:39 PM

It is impossible to view MongoDB password directly through Navicat because it is stored as hash values. How to retrieve lost passwords: 1. Reset passwords; 2. Check configuration files (may contain hash values); 3. Check codes (may hardcode passwords).

The 2-Hour Python Plan: A Realistic Approach The 2-Hour Python Plan: A Realistic Approach Apr 11, 2025 am 12:04 AM

You can learn basic programming concepts and skills of Python within 2 hours. 1. Learn variables and data types, 2. Master control flow (conditional statements and loops), 3. Understand the definition and use of functions, 4. Quickly get started with Python programming through simple examples and code snippets.

How to optimize MySQL performance for high-load applications? How to optimize MySQL performance for high-load applications? Apr 08, 2025 pm 06:03 PM

MySQL database performance optimization guide In resource-intensive applications, MySQL database plays a crucial role and is responsible for managing massive transactions. However, as the scale of application expands, database performance bottlenecks often become a constraint. This article will explore a series of effective MySQL performance optimization strategies to ensure that your application remains efficient and responsive under high loads. We will combine actual cases to explain in-depth key technologies such as indexing, query optimization, database design and caching. 1. Database architecture design and optimized database architecture is the cornerstone of MySQL performance optimization. Here are some core principles: Selecting the right data type and selecting the smallest data type that meets the needs can not only save storage space, but also improve data processing speed.

Python: Exploring Its Primary Applications Python: Exploring Its Primary Applications Apr 10, 2025 am 09:41 AM

Python is widely used in the fields of web development, data science, machine learning, automation and scripting. 1) In web development, Django and Flask frameworks simplify the development process. 2) In the fields of data science and machine learning, NumPy, Pandas, Scikit-learn and TensorFlow libraries provide strong support. 3) In terms of automation and scripting, Python is suitable for tasks such as automated testing and system management.

How to use AWS Glue crawler with Amazon Athena How to use AWS Glue crawler with Amazon Athena Apr 09, 2025 pm 03:09 PM

As a data professional, you need to process large amounts of data from various sources. This can pose challenges to data management and analysis. Fortunately, two AWS services can help: AWS Glue and Amazon Athena.

Can mysql connect to the sql server Can mysql connect to the sql server Apr 08, 2025 pm 05:54 PM

No, MySQL cannot connect directly to SQL Server. But you can use the following methods to implement data interaction: Use middleware: Export data from MySQL to intermediate format, and then import it to SQL Server through middleware. Using Database Linker: Business tools provide a more friendly interface and advanced features, essentially still implemented through middleware.

How to start the server with redis How to start the server with redis Apr 10, 2025 pm 08:12 PM

The steps to start a Redis server include: Install Redis according to the operating system. Start the Redis service via redis-server (Linux/macOS) or redis-server.exe (Windows). Use the redis-cli ping (Linux/macOS) or redis-cli.exe ping (Windows) command to check the service status. Use a Redis client, such as redis-cli, Python, or Node.js, to access the server.

See all articles