How to read and write Excel files in Python?

Table of Contents

• Introduction
• Reading Excel Files in Python
  • Using openpyxl
    • Example of Reading an Excel File
  • Using Pandas
    • Example of Reading an Excel File with Pandas
• Writing Excel Files in Python
  • Using openpyxl
    • Example of Writing to an Excel File
  • Using Pandas
    • Example of Writing to an Excel File with Pandas
• Conclusion

Introduction

Excel files are a common format for storing and analyzing data, widely used in various industries. Python offers several libraries to read and write Excel files easily. The most popular libraries for this purpose are openpyxl for .xlsx files and Pandas for handling Excel data in a tabular format. This guide provides examples of how to read from and write to Excel files using both libraries.

Reading Excel Files in Python

Using openpyxl

The openpyxl library is specifically designed for reading and writing .xlsx files.

Example of Reading an Excel File

Sample Output:

Using Pandas

Pandas can also read Excel files using the read_excel function, which is often more convenient for data analysis.

Example of Reading an Excel File with Pandas

Sample Output:

Writing Excel Files in Python

Using openpyxl

You can write to Excel files using the openpyxl library as well.

Example of Writing to an Excel File

Using Pandas

Pandas simplifies writing DataFrames to Excel files with its to_excel method.

Example of Writing to an Excel File with Pandas

Conclusion

Reading and writing Excel files in Python can be accomplished easily using the openpyxl library for direct manipulation of Excel sheets or the Pandas library for efficient data handling in tabular format. Depending on your specific needs, both libraries provide powerful tools for working with Excel data, allowing you to perform various data manipulation tasks effectively in your Python projects.