How to read and write CSV files in Python?

Table of Contents

• Introduction
• Reading CSV Files in Python
  • Using the CSV Module
    • Example of Reading a CSV File
  • Using Pandas
    • Example of Reading a CSV File with Pandas
• Writing CSV Files in Python
  • Using the CSV Module
    • Example of Writing to a CSV File
  • Using Pandas
    • Example of Writing to a CSV File with Pandas
• Conclusion

Introduction

CSV (Comma-Separated Values) files are widely used for storing and exchanging tabular data. Python provides several ways to read from and write to CSV files, primarily using the built-in csv module and the popular Pandas library. This guide will cover both methods with practical examples, allowing you to handle CSV files effectively.

Reading CSV Files in Python

Using the CSV Module

The built-in csv module in Python allows for easy handling of CSV files.

Example of Reading a CSV File

Sample Output:

Using Pandas

Pandas makes reading CSV files even easier, especially when dealing with large datasets.

Example of Reading a CSV File with Pandas

Sample Output:

Writing CSV Files in Python

Using the CSV Module

You can also write to CSV files using the csv module.

Example of Writing to a CSV File

Using Pandas

Pandas provides a straightforward way to write DataFrames to CSV files.

Example of Writing to a CSV File with Pandas

Conclusion

Reading and writing CSV files in Python can be accomplished efficiently using either the built-in csv module or the Pandas library. The csv module provides basic functionality for handling CSV files, while Pandas offers more powerful tools for data manipulation and analysis. Depending on your needs, you can choose either method to work with CSV files in your Python projects, ensuring your data handling processes are smooth and effective.