Reading and Writing Excel (XLSX) Files in Python with the Pandas Library

Introduction

Just like with all other types of files, you can use the Pandas library to read and write Excel files using Python as well. In this short tutorial, we are going to discuss how to read and write Excel files via DataFrames.

In addition to simple reading and writing, we will also learn how to write multiple DataFrames into an Excel file, how to read specific rows and columns from a spreadsheet, and how to name single and multiple sheets within a file before doing anything.

If you’d like to learn more about other file types, we’ve got you covered:

Reading and Writing Excel Files in Python with Pandas

Naturally, to use Pandas, we first have to install it. The easiest method to install it is via pip.

If you’re running Windows:

$ python pip install pandas

If you’re using Linux or MacOS:

$ pip install pandas

Note that you may get a ModuleNotFoundError or ImportError error when running the code in this article. For example:

ModuleNotFoundError: No module named 'openpyxl'

If this is the case, then you’ll need to install the missing module(s):

$ pip install openpyxl xlsxwriter xlrd

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