How to Use Excel .xlsx Files with Python! OpenPyXL Tutorial (2025)

How to Use Excel .xlsx Files with Python! OpenPyXL Tutorial

Want to read, write, and manipulate Excel `.xlsx` files using Python? In this complete **OpenPyXL tutorial**, you’ll learn how to work with Microsoft Excel files programmatically—perfect for data analysis, reporting automation, or handling spreadsheets in your Python projects.

**OpenPyXL** is a powerful and user-friendly library for reading and writing Excel 2010+ `.xlsx` files. This tutorial walks you through the basics and some advanced tips so you can confidently integrate Excel into your Python workflow.

🔹 What You’ll Learn:

* How to install OpenPyXL
* Opening existing `.xlsx` files in Python
* Reading cell values and iterating through rows and columns
* Writing new data to Excel files
* Creating and saving new workbooks
* Modifying existing sheets and formatting cells
* Adding formulas, charts, and more
* Saving your changes and exporting updated files

📌 Installation Command:

“`bash
pip install openpyxl
“`

📁 Use Cases:

* Automating reports
* Processing data exports from tools like Excel or Google Sheets
* Cleaning and transforming spreadsheet data
* Generating `.xlsx` files from Python scripts

📌 Sample Code:

“`python
import openpyxl

# Load workbook
wb = openpyxl.load_workbook(‘example.xlsx’)
sheet = wb.active

# Read a cell
print(sheet[‘A1’].value)

# Write to a cell
sheet[‘B2’] = ‘Hello, Excel!’
wb.save(‘example_modified.xlsx’)
“`

💡 Bonus Tips:

* Learn how to style cells and apply number formats
* Handle multiple sheets with ease
* Use loops to efficiently read or write large datasets

This tutorial is beginner-friendly and ideal for data analysts, engineers, or developers automating spreadsheet tasks.

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