How to Fix openpyxl Errors in Your Python Excel Projects

Learn how to resolve common issues with `openpyxl` when writing to existing Excel files, especially regarding `numpy` deprecations. Get practical solutions here!
---

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: writing with openpyxl to existing excel file

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
---
How to Fix openpyxl Errors in Your Python Excel Projects

Are you facing issues when trying to write data to an existing Excel file using openpyxl in your Python projects? You're not alone! Many developers encounter compatibility problems with numpy that lead to frustrating errors, especially when they are just trying to use a simple functionality. In this post, we’ll explore common errors encountered while using openpyxl and how to effectively resolve them.

The Problem

While working on your Python application—and particularly if you're using an Integrated Development Environment (IDE) such as PyCharm—you might come across an error like the following when attempting to load and modify an Excel file:

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

In-depth Solution

To solve this error, we’ll go through a step-by-step breakdown.

Understanding the Issue

Deprecation Note: This deprecation was introduced to encourage the use of standard Python types instead of numpy scalar types when possible.

Possible Solutions

You have a couple of options to resolve the issue:

1. Use Built-in float

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

2. Downgrade numpy

If you rely on certain functionalities that are compatible with the old numpy, you can downgrade your numpy version to a version lower than 1.20. However, be careful with this approach as it may lead to compatibility issues with other libraries or your project:

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

3. Modify openpyxl Code

If you're comfortable diving into the source code of openpyxl, you can locate the file causing the error (as indicated in the debug log) and make the necessary changes manually.

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

Conclusion

Dealing with library versioning can sometimes feel daunting, particularly with popular packages like numpy and openpyxl which have deep interdependencies. By understanding the cause of the error and taking appropriate measures, you can ensure that your Python applications run smoothly when interacting with Excel files.

Whether you choose to switch to using Python’s built-in float, downgrade your numpy version, or modify the source code, you should be well-equipped to tackle the issue moving forward.

Now, with these adjustments, you're ready to continue writing to your existing Excel files seamlessly!