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Скачать или смотреть Resolving the XLRDError When Opening Excel Files in Python

  • vlogize
  • 2025-05-28
  • 6
Resolving the XLRDError When Opening Excel Files in Python
Open excel file in Python: XLRDError: Excel xlsx file; not supportedpythonexcelpandas
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Описание к видео Resolving the XLRDError When Opening Excel Files in Python

Learn how to solve the `XLRDError` in Python when trying to open `.xlsx` files using `xlrd`. This guide provides clear steps for resolution.
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This video is based on the question https://stackoverflow.com/q/67394705/ asked by the user 'nilsinelabore' ( https://stackoverflow.com/u/11901732/ ) and on the answer https://stackoverflow.com/a/67395008/ provided by the user 'Sudo Band' ( https://stackoverflow.com/u/15800250/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: Open excel file in Python: XLRDError: Excel xlsx file; not supported

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
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Opening Excel Files in Python: Tackling the XLRDError

Python is a powerful tool for data analysis, and handling Excel files is a common requirement for many users. However, if you’ve tried to open a .xlsx file using the xlrd library, you may have encountered the frustrating XLRDError. This guide will guide you through understanding this error and how to fix it effectively.

Understanding the XLRDError

When you attempt to run code to open an Excel file like this:

[[See Video to Reveal this Text or Code Snippet]]

you may receive an error message similar to this:

[[See Video to Reveal this Text or Code Snippet]]

What Does This Error Mean?

The XLRDError indicates that the current version of the xlrd library does not support .xlsx files. As of the latest updates, xlrd only supports the older .xls format, which is likely the root cause of the issue you encountered.

How to Fix the XLRDError

Solution 1: Downgrade xlrd

The quickest and simplest way to resolve the XLRDError is by installing an older version of the xlrd library that still supports .xlsx files. Here’s how you can do this:

Uninstall the current version of xlrd: Open your terminal or command prompt and run the following command:

[[See Video to Reveal this Text or Code Snippet]]

Install a compatible version of xlrd: Next, install version 1.2.0, which still supports .xlsx files.

[[See Video to Reveal this Text or Code Snippet]]

Solution 2: Use openpyxl For .xlsx Files

If you need to work primarily with .xlsx files, consider using the openpyxl library instead, which is designed for the newer Excel file formats. Here’s how to switch your code to use openpyxl:

Install openpyxl: First, you need to install the library using pip.

[[See Video to Reveal this Text or Code Snippet]]

Update your code: Replace your existing code with this:

[[See Video to Reveal this Text or Code Snippet]]

Choosing the Right Solution

If you occasionally need to open .xlsx files alongside .xls, downgrading xlrd is a quick fix.

If your primary focus is working with modern Excel files, consider switching to openpyxl, which is actively maintained and provides support for the latest Excel features.

Conclusion

Encountering an XLRDError can be frustrating, but with the right steps, it is a manageable problem. Whether you choose to downgrade xlrd or make the switch to openpyxl, you can successfully work with Excel files in Python. By understanding the limitations of the libraries you are using, you can save time and improve your efficiency when working with data.

Always remember to stay updated on library documentation for the best practices and capabilities of the tools you choose!

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