Skip to content
geeksforgeeks
  • Tutorials
    • Python
    • Java
    • Data Structures & Algorithms
    • ML & Data Science
    • Interview Corner
    • Programming Languages
    • Web Development
    • CS Subjects
    • DevOps And Linux
    • School Learning
    • Practice Coding Problems
  • Courses
    • DSA to Development
    • Get IBM Certification
    • Newly Launched!
      • Master Django Framework
      • Become AWS Certified
    • For Working Professionals
      • Interview 101: DSA & System Design
      • Data Science Training Program
      • JAVA Backend Development (Live)
      • DevOps Engineering (LIVE)
      • Data Structures & Algorithms in Python
    • For Students
      • Placement Preparation Course
      • Data Science (Live)
      • Data Structure & Algorithm-Self Paced (C++/JAVA)
      • Master Competitive Programming (Live)
      • Full Stack Development with React & Node JS (Live)
    • Full Stack Development
    • Data Science Program
    • All Courses
  • Python Tutorial
  • Interview Questions
  • Python Quiz
  • Python Glossary
  • Python Projects
  • Practice Python
  • Data Science With Python
  • Python Web Dev
  • DSA with Python
  • Python OOPs
Open In App
Next Article:
Reading and Writing to text files in Python
Next article icon

Reading and Writing to text files in Python

Last Updated : 02 Jan, 2025
Comments
Improve
Suggest changes
Like Article
Like
Report

Python provides built-in functions for creating, writing, and reading files. Two types of files can be handled in Python, normal text files and binary files (written in binary language, 0s, and 1s).

  • Text files: In this type of file, Each line of text is terminated with a special character called EOL (End of Line), which is the new line character ('\n') in Python by default.
  • Binary files: In this type of file, there is no terminator for a line, and the data is stored after converting it into machine-understandable binary language.

This article will focus on opening, closing, reading, and writing data in a text file. Here, we will also see how to get Python output in a text file.

Table of Content

  • Opening a Text File
  • Read Text File
  • Write to Text File
  • Appending to a File
  • Closing a Text File

Opening a Text File in Python

It is done using the open() function. No module is required to be imported for this function.

File_object = open(r"File_Name","Access_Mode")

Example: Here, file1 is created as an object for MyFile1 and file2 as object for MyFile2.

Python
# Open function to open the file "MyFile1.txt" # (same directory) in append mode and file1 = open("MyFile1.txt","a")  # store its reference in the variable file1 # and "MyFile2.txt" in D:\Text in file2 file2 = open(r"D:\Text\MyFile2.txt","w+") 

Also Read: File Mode in Python

Python Read Text File

There are three ways to read txt file in Python:

  • Using read()
  • Using readline()
  • Using readlines()

Reading From a File Using read()

read(): Returns the read bytes in form of a string. Reads n bytes, if no n specified, reads the entire file.

File_object.read([n])

Reading a Text File Using readline()

readline(): Reads a line of the file and returns in form of a string.For specified n, reads at most n bytes. However, does not reads more than one line, even if n exceeds the length of the line.

File_object.readline([n])

Reading a File Using readlines()

readlines(): Reads all the lines and return them as each line a string element in a list.

  File_object.readlines()

Note: '\n' is treated as a special character of two bytes.

In this example, a file named "myfile.txt" is created and opened in write mode ( "w" ). Data is written to the file using write and writelines methods. The file is then reopened in read and append mode ( "r+" ). Various read operations, including read , readline , readlines , and the use of seek , demonstrate different ways to retrieve data from the file. Finally, the file is closed.

Python
file1 = open("myfile.txt", "w") L = ["This is Delhi \n", "This is Paris \n", "This is London \n"]  # \n is placed to indicate EOL (End of Line) file1.write("Hello \n") file1.writelines(L) file1.close()  # to change file access modes  file1 = open("myfile.txt", "r+")  print("Output of Read function is ") print(file1.read()) print()  # seek(n) takes the file handle to the nth # byte from the beginning. file1.seek(0)  print("Output of Readline function is ") print(file1.readline()) print()  file1.seek(0)  # To show difference between read and readline print("Output of Read(9) function is ") print(file1.read(9)) print()  file1.seek(0)  print("Output of Readline(9) function is ") print(file1.readline(9))  file1.seek(0) # readlines function print("Output of Readlines function is ") print(file1.readlines()) print() file1.close() 

Output:

Output of Read function is 
Hello
This is Delhi
This is Paris
This is London
Output of Readline function is
Hello
Output of Read(9) function is
Hello
Th
Output of Readline(9) function is
Hello
Output of Readlines function is
['Hello \n', 'This is Delhi \n', 'This is Paris \n', 'This is London \n']

Write to Text File in Python

There are two ways to write in a file:

  • Using write()
  • Using writelines()

Reference: write() VS writelines()

Writing to a Python Text File Using write()

write(): Inserts the string str1 in a single line in the text file.

File_object.write(str1)
Python
file = open("Employees.txt", "w")   for i in range(3):  name = input("Enter the name of the employee: ")  file.write(name)  file.write("\n")  	 file.close()   print("Data is written into the file.")  

Output:

Data is written into the file.

Writing to a Text File Using writelines()

writelines(): For a list of string elements, each string is inserted in the text file.Used to insert multiple strings at a single time.

File_object.writelines(L) for L = [str1, str2, str3]
Python
file1 = open("Employees.txt", "w")  lst = []  for i in range(3):  	name = input("Enter the name of the employee: ")  	lst.append(name + '\n')  	 file1.writelines(lst)  file1.close()  print("Data is written into the file.")  

Output:

Data is written into the file.

Appending to a File in Python

In this example, a file named "myfile.txt" is initially opened in write mode ( "w" ) to write lines of text. The file is then reopened in append mode ( "a" ), and "Today" is added to the existing content. The output after appending is displayed using readlines . Subsequently, the file is reopened in write mode, overwriting the content with "Tomorrow". The final output after writing is displayed using readlines.

Python
file1 = open("myfile.txt", "w") L = ["This is Delhi \n", "This is Paris \n", "This is London \n"] file1.writelines(L) file1.close()  # Append-adds at last file1 = open("myfile.txt", "a")  # append mode file1.write("Today \n") file1.close()  file1 = open("myfile.txt", "r") print("Output of Readlines after appending") print(file1.readlines()) print() file1.close()  # Write-Overwrites file1 = open("myfile.txt", "w")  # write mode file1.write("Tomorrow \n") file1.close()  file1 = open("myfile.txt", "r") print("Output of Readlines after writing") print(file1.readlines()) print() file1.close() 

Output:

Output of Readlines after appending
['This is Delhi \n', 'This is Paris \n', 'This is London \n', 'Today \n']
Output of Readlines after writing
['Tomorrow \n']

Related Article: File Objects in Python

Closing a Text File in Python

Python close() function closes the file and frees the memory space acquired by that file. It is used at the time when the file is no longer needed or if it is to be opened in a different file mode. File_object.close()

Python
# Opening and Closing a file "MyFile.txt" # for object name file1. file1 = open("MyFile.txt","a") file1.close() 

Next Article
Reading and Writing to text files in Python

K

kartik
Improve
Article Tags :
  • Technical Scripter
  • Python
  • python-file-handling
Practice Tags :
  • python

Similar Reads

    First Class functions in Python
    First-class function is a concept where functions are treated as first-class citizens. By treating functions as first-class citizens, Python allows you to write more abstract, reusable, and modular code. This means that functions in such languages are treated like any other variable. They can be pas
    2 min read
    Python Closures
    In Python, a closure is a powerful concept that allows a function to remember and access variables from its lexical scope, even when the function is executed outside that scope. Closures are closely related to nested functions and are commonly used in functional programming, event handling and callb
    3 min read
    Decorators in Python
    In Python, decorators are a powerful and flexible way to modify or extend the behavior of functions or methods, without changing their actual code. A decorator is essentially a function that takes another function as an argument and returns a new function with enhanced functionality. Decorators are
    10 min read
    Help function in Python
    help() function in Python is a built-in function that provides information about modules, classes, functions and modules. It is useful for retrieving information on various Python objects. Example:Pythonhelp()OutputWelcome to Python 3.13's help utility! If this is your first time using Python, you s
    5 min read
    __import__() function in Python
    __import__() is a built-in function in Python that is used to dynamically import modules. It allows us to import a module using a string name instead of the regular "import" statement. It's useful in cases where the name of the needed module is know to us in the runtime only, then to import those mo
    2 min read
    Python Classes and Objects
    A class in Python is a user-defined template for creating objects. It bundles data and functions together, making it easier to manage and use them. When we create a new class, we define a new type of object. We can then create multiple instances of this object type.Classes are created using class ke
    6 min read
    Constructors in Python
    In Python, a constructor is a special method that is called automatically when an object is created from a class. Its main role is to initialize the object by setting up its attributes or state. The method __new__ is the constructor that creates a new instance of the class while __init__ is the init
    3 min read
    Destructors in Python
    Constructors in PythonDestructors are called when an object gets destroyed. In Python, destructors are not needed as much as in C++ because Python has a garbage collector that handles memory management automatically. The __del__() method is a known as a destructor method in Python. It is called when
    7 min read
    Inheritance in Python
    Inheritance is a fundamental concept in object-oriented programming (OOP) that allows a class (called a child or derived class) to inherit attributes and methods from another class (called a parent or base class). This promotes code reuse, modularity, and a hierarchical class structure. In this arti
    7 min read
    Encapsulation in Python
    In Python, encapsulation refers to the bundling of data (attributes) and methods (functions) that operate on the data into a single unit, typically a class. It also restricts direct access to some components, which helps protect the integrity of the data and ensures proper usage.Table of ContentEnca
    6 min read
geeksforgeeks-footer-logo
Corporate & Communications Address:
A-143, 7th Floor, Sovereign Corporate Tower, Sector- 136, Noida, Uttar Pradesh (201305)
Registered Address:
K 061, Tower K, Gulshan Vivante Apartment, Sector 137, Noida, Gautam Buddh Nagar, Uttar Pradesh, 201305
GFG App on Play Store GFG App on App Store
Advertise with us
  • Company
  • About Us
  • Legal
  • Privacy Policy
  • In Media
  • Contact Us
  • Advertise with us
  • GFG Corporate Solution
  • Placement Training Program
  • Languages
  • Python
  • Java
  • C++
  • PHP
  • GoLang
  • SQL
  • R Language
  • Android Tutorial
  • Tutorials Archive
  • DSA
  • Data Structures
  • Algorithms
  • DSA for Beginners
  • Basic DSA Problems
  • DSA Roadmap
  • Top 100 DSA Interview Problems
  • DSA Roadmap by Sandeep Jain
  • All Cheat Sheets
  • Data Science & ML
  • Data Science With Python
  • Data Science For Beginner
  • Machine Learning
  • ML Maths
  • Data Visualisation
  • Pandas
  • NumPy
  • NLP
  • Deep Learning
  • Web Technologies
  • HTML
  • CSS
  • JavaScript
  • TypeScript
  • ReactJS
  • NextJS
  • Bootstrap
  • Web Design
  • Python Tutorial
  • Python Programming Examples
  • Python Projects
  • Python Tkinter
  • Python Web Scraping
  • OpenCV Tutorial
  • Python Interview Question
  • Django
  • Computer Science
  • Operating Systems
  • Computer Network
  • Database Management System
  • Software Engineering
  • Digital Logic Design
  • Engineering Maths
  • Software Development
  • Software Testing
  • DevOps
  • Git
  • Linux
  • AWS
  • Docker
  • Kubernetes
  • Azure
  • GCP
  • DevOps Roadmap
  • System Design
  • High Level Design
  • Low Level Design
  • UML Diagrams
  • Interview Guide
  • Design Patterns
  • OOAD
  • System Design Bootcamp
  • Interview Questions
  • Inteview Preparation
  • Competitive Programming
  • Top DS or Algo for CP
  • Company-Wise Recruitment Process
  • Company-Wise Preparation
  • Aptitude Preparation
  • Puzzles
  • School Subjects
  • Mathematics
  • Physics
  • Chemistry
  • Biology
  • Social Science
  • English Grammar
  • Commerce
  • World GK
  • GeeksforGeeks Videos
  • DSA
  • Python
  • Java
  • C++
  • Web Development
  • Data Science
  • CS Subjects
@GeeksforGeeks, Sanchhaya Education Private Limited, All rights reserved
We use cookies to ensure you have the best browsing experience on our website. By using our site, you acknowledge that you have read and understood our Cookie Policy & Privacy Policy
Lightbox
Improvement
Suggest Changes
Help us improve. Share your suggestions to enhance the article. Contribute your expertise and make a difference in the GeeksforGeeks portal.
geeksforgeeks-suggest-icon
Create Improvement
Enhance the article with your expertise. Contribute to the GeeksforGeeks community and help create better learning resources for all.
geeksforgeeks-improvement-icon
Suggest Changes
min 4 words, max Words Limit:1000

Thank You!

Your suggestions are valuable to us.

What kind of Experience do you want to share?

Interview Experiences
Admission Experiences
Career Journeys
Work Experiences
Campus Experiences
Competitive Exam Experiences