Скачать или смотреть How to Read XLSX Files in Python CGI Scripts Using Pandas

In this post, learn how to read XLSX files using Python's CGI scripts and `Pandas`. We'll walk through an example step-by-step, ensuring you can successfully upload and process Excel files.
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Introduction

If you're working on a project that requires uploading and processing Excel files, you might have run into some challenges, especially when using Python's CGI scripts along with the powerful Pandas library. Specifically, you might want to read XLSX files uploaded by users and create new Excel files based on their content. This guide will guide you through the process of implementing this functionality efficiently.

The Problem

You're looking to create a tool that will allow users to either generate a new XLSX file or upload their existing XLSX files to be processed. However, you've encountered issues while trying to read the uploaded XLSX files using Pandas in your CGI script. The uploaded file is not being read properly, leading to a 0 KB output file that can't be opened.

Understanding the Issue

When you attempt to use the myfilename variable to read the file with Pandas, the file hasn't been saved to the server yet—resulting in an error. This is a common issue when handling file uploads in web applications where it's crucial to first save the uploaded file before processing it.

The Solution

To resolve this problem, you'll need to ensure that the uploaded file is saved locally on the server before you try to read it with Pandas. Below is a step-by-step solution on how to implement this correctly.

Step-by-Step Guide

Import Necessary Libraries: As you're likely already doing, make sure to import Pandas and cgi.

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Handle Form Submission: Check if the form is submitted and handle the file upload process. You can use cgi.FieldStorage() to access the uploaded file.

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Save the Uploaded File Locally: You need to save the uploaded file correctly before using Pandas to read it. Here’s how you can accomplish this:

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Read the Uploaded File Using Pandas: After saving the file, you can read it into a DataFrame, allowing you to manipulate the data as needed.

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Process and Generate a New XLSX File: Now that you have the data in a DataFrame, you can proceed to manipulate it and save it into a new XLSX file for the user to download.

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Serve the New File to the User: Lastly, send the newly created file back to the user as a downloadable attachment.

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Conclusion

By following the steps outlined above, you should be able to successfully read from an uploaded XLSX file using Pandas within a CGI script in Python. The key takeaway is to remember to save the uploaded file locally so that it can be accessed later for processing.

If you encounter any issues or have questions, feel free to ask! Happy coding!