Скачать или смотреть How to Import Excel Files to Pandas from a GitHub Repository

Learn how to successfully import Excel files from a private GitHub repository into a Pandas DataFrame without errors.
---
This video is based on the question https://stackoverflow.com/q/65300689/ asked by the user 'JasonSimilar' ( https://stackoverflow.com/u/12403309/ ) and on the answer https://stackoverflow.com/a/65300974/ provided by the user 'Asish M.' ( https://stackoverflow.com/u/2214597/ ) 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: Import Excel file to pandas from Github repository

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.
---
Importing Excel Files to Pandas from a GitHub Repository

In today's data-driven world, effectively managing and analyzing data is crucial. One common scenario developers face is importing Excel files into a Pandas DataFrame, especially if those files are stored in a private GitHub repository. In this guide, we'll explore the steps to accomplish this task while avoiding common pitfalls that can lead to errors.

The Problem

While trying to import an Excel file from a private GitHub repository into a Pandas DataFrame, you might encounter the following error:

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

This error usually arises when the method used to read the Excel file is incompatible with the file format of the data being retrieved.

Understanding the Context

The error indicates that the code is trying to process data meant for binary operations but is instead receiving a string format. Excel files are generally binary and should be handled as such when imported. Let's look at the original code provided to identify the issue.

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

In this snippet, export retrieves the content of the Excel file, but the use of io.StringIO() to decode the content is incorrect for binary Excel files. To solve this problem, we need to change our approach.

The Solution

Here’s how you can successfully import your Excel file from a GitHub repository into a Pandas DataFrame. Follow these steps:

Step 1: Access the File

First, ensure you have the correct URL pointing to the raw Excel file in your GitHub repository. This can usually be done by navigating to the file in your repo, clicking on "Raw," and copying that URL.

Step 2: Use the Correct Method to Read the File

Instead of using io.StringIO(), you should use io.BytesIO() when dealing with binary content. Here's your updated code snippet:

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

Step 3: Run Your Code

Run the updated code snippet in your Python environment. If everything is set correctly, it should import the Excel file into a Pandas DataFrame without any errors.

Conclusion

Importing Excel files from a private GitHub repository to a Pandas DataFrame can be straightforward if you handle the file format correctly. Instead of decoding the content as a string, use io.BytesIO() to read it as binary data. By following the steps outlined above, you can efficiently manage your data without encountering type errors.

If you have any further questions or run into issues, feel free to reach out in the comments below, and happy coding!