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Python

File Handling in Python

Written by Rahul Lath

Updated on: 07 Dec 2023

Python Tutorials

1Python Overview2Python Tutorial: A Comprehensive Guide for Beginners3Python Keywords and Identifiers4Download and Installation Guide for Python5Python Syntax (With Examples)6Python Comments7Python Variables (With Examples)8Taking Input in Python9Output in Python10File Handling in Python (Files I/O)11Python Operators (With Examples)12Ternary Operators in Python13Operator Overloading in Python14Division Operators in Python15Input from Console in Python16Output Formatting in Python17Any All in Python18Difference between Python Equality and Identity Operators19Python Membership and Identity Operators20Python Data Types21Python Dictionary22Control Flow in Python23Python Arrays24Looping Techniques in Python25Chaining Comparison Operators in Python26Python Functions27Python Strings28Python Numbers29Python Sets30Python For Loops31Python While Loops32Python Break Statement:33Python Continue Statement34Python pass Statement35Args and Kwargs in Python36Python Generators37Python Lambda38Global and Local Variables in Python39Global Keyword in Python40Python Closures41Python Decorators42Memoization using Decorators in Python43Constructors in Python44Encapsulation in Python45Inheritance in Python46Polymorphism in Python47Class Method vs Static Method in Python48Python Exception Handling49First Class Functions in Python50Python Classes And Objects51Errors and Exceptions in Python52Built-In Exceptions in Python53Append to file in Python54File Handling in Python55Destructors in Python56User-Defined Exceptions in Python57Class or Static Variable in Python58Python Tuples59Reading File in Python60Writing File in Python61Opening and Closing Files in Python62NZEC error in Python63Operator Function64Webscraper Python Beautifulsoup65Python Pyramid Patterns66Python Start Patterns67Web Crawler in Python68Build a Python Youtube Downloader69Currency Convertor in Python70Python Website Blocker
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What is File Handling in Python?

 Python programming requires the use of file handling, which enables users to read and write data to and from files. In plain English, file handling describes how Python communicates with files stored in a computer’s file system. Working with data stored in files is made simpler by Python’s built-in modules and functions for handling files.

This article’s goal is to offer a thorough introduction to file handling in Python, covering the fundamentals of opening and closing files, reading and writing files, and using various file handling modes. 

Opening and Closing Files

The initial step in file handling is opening and closing files. A file must first be opened before any operation can be performed on it, and it must also be closed after the operation is finished. To open and close files in Python, use the built-in open() and close() methods, respectively.

There are different modes for opening files, which determine the operation that can be performed on a file. The modes include:

'r' - read mode (default) 'w' - write mode 'a' - append mode 'x' - exclusive creation mode 'b' - binary mode 't' - text mode (default)

To open a file in read mode, the ‘r’ mode is used. For write mode, the ‘w’ mode is used, which overwrites the file’s contents. In append mode, ‘a’ is used, which appends the data to the end of the file. The ‘x’ mode creates a new file and raises an error if the file already exists. For binary mode, ‘b’ is used, and for text mode, ‘t’ is used.

Here’s an example of how to open and close a file in Python:

# Open a file in read mode file = open('example.txt', 'r') # Perform operations on the file # ... # Close the file file.close()

Reading and Writing Files

The next step after opening a file is to read or write data to or from it. Depending on the mode used to open the file, there are several ways to read and write files in Python.

The read() method is used to read a file, and it reads the whole thing. As an alternative, you can use the readline() method to read a line at a time or the readlines() method to read every line into a list. 

To write to a file, the write() method is used, which writes the data to the file. In write mode, the file’s contents are overwritten, so care should be taken to avoid losing any data. In append mode, the write() method adds data to the end of the file.

Here’s an example of how to read and write files in Python:

# Open a file in write mode file = open('example.txt', 'w') # Write data to the file file.write('Hello, World!') # Close the file file.close() # Open the file in read mode file = open('example.txt', 'r') # Read the contents of the file data = file.read() # Print the data print(data) # Close the file file.close()

File Objects

In Python, files opened in the program are represented by objects called file objects. These objects have methods that let users open and close files and read and write data, among other operations. The file object methods read(), readline(), write(), and seek() are a few of the frequently used ones.

While the readline() method reads one line at a time, the read() method reads the entire file or a specified number of bytes from the file. The seek() method moves the current file position to a predetermined position, while the write() method adds data to the file.

Here’s an example of how to use file object methods in Python:

# Open a file in read mode file = open('example.txt', 'r') # Read the first 10 bytes of the file data = file.read(10) # Print the data print(data) # Change the file position to byte 20 file.seek(20) # Read the next 10 bytes of the file data = file.read(10) # Print the data print(data) # Close the file file.close()

File Handling in Python – Best Practices

It’s crucial to adhere to best practices when handling files in Python in order to make sure the program runs smoothly and without errors. To always handle errors when opening and closing files is one of the best practices. An error occurs, for instance, if you attempt to open a file that doesn’t exist. Users can use a try-except block to handle the error and give the user a message in order to prevent this.

Always closing the file after performing operations on it is another best practice. If the file is not properly closed, it may result in program errors and data loss. When opening files, it’s also a good idea to use with statements because they automatically close the file once the operations are finished.

Creating folders and giving files descriptive names are examples of good file handling techniques. Absolute file paths should also be avoided by users because they can result in issues when running the program on various computers.

Reading and Writing to CSV Files

Data in tabular format is frequently stored in CSV files, and Python comes with a built-in csv module to read and write to these files. CSV files can be handled using the csv module’s functions, such as csv.reader() and csv.writer().

The csv.reader() function, which reads the contents of the file and returns it as a list of lists, is used to read data from a CSV file. Each list corresponds to a row and each list element to a column in the CSV file.

The csv.writer() function is used to write data to a CSV file, and it writes the data to the file in CSV format.

Here’s an example of how to read and write to CSV files in Python:

import csv # Open a CSV file in read mode with open('example.csv', 'r') as file: reader = csv.reader(file) # Print each row in the CSV file for row in reader: print(row) # Open a CSV file in write mode with open('example.csv', 'w', newline='') as file: writer = csv.writer(file) # Write data to the CSV file writer.writerow(['Name', 'Age', 'City']) writer.writerow(['John', '25', 'New York']) writer.writerow(['Jane', '30', 'Los Angeles'])

Reading and Writing to JSON Files

The lightweight data interchange format JSON (JavaScript Object Notation) is frequently used for storing and exchanging data between web applications. To read and write data in JSON format, Python includes a built-in json module. To read and write to JSON files, the json module includes functions like json.dump() and json.load().

The json.dump() function is used to write data to a JSON file, and it writes the data to the file in JSON format. Using the json.load() function, which reads a JSON file’s contents and returns them as a Python object, you can read data from a JSON file.

Here’s an example of how to read and write to JSON files in Python:

import json # Write data to a JSON file data = {'name': 'John', 'age': 25, 'city': 'New York'} with open('example.json', 'w') as file: json.dump(data, file) # Read data from a JSON file with open('example.json', 'r') as file: data = json.load(file) print(data)

Conclusion

The ability to work with data stored in files is made possible by file handling, which is a crucial component of Python programming. Python programmers need to be adept at opening and closing files, reading from and writing to files, and comprehending various file formats. The program will run more smoothly if best practices are followed, such as handling errors when opening and closing files and organizing files into folders.

Overall, for Python programmers who want to manipulate data stored in files, understanding file handling and knowing how to handle files effectively are essential.

FAQs

What is Python file handling?

Python’s interaction with files on a computer’s file system is referred to as file handling. This includes opening and closing files, reading from and writing to files, and comprehending various file formats.

What is file handling?

File handling is how a computer program opens and closes files, reads and writes data to files, and understands different file formats. 

What are the types of file in file handling in Python?

Text, binary, CSV, JSON, and other types of files can all be handled by Python’s file handling system

What is the csv module in Python used for?

Data can be read from and written to CSV files using the Python csv module

Written by

Rahul Lath

Reviewed by

Arpit Rankwar

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