How to Sort Multiple CSV Files by Date Using Python

Learn how to effectively sort multiple CSV files within a directory by date using Python, with step-by-step guidance and code examples. --- This video is based on the question https://stackoverflow.com/q/67092279/ asked by the user 'Joao' ( https://stackoverflow.com/u/15633801/ ) and on the answer https://stackoverflow.com/a/67093558/ provided by the user 'Owl Surojit' ( https://stackoverflow.com/u/13197300/ ) 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: Sort multiple csv files within a directory by date python 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. --- How to Sort Multiple CSV Files by Date Using Python When working with data, sorting CSV files by specific criteria can be essential, especially when you have multiple files that need organization. If you have a directory filled with CSV files and wish to sort them by date within the second column, you might find yourself wondering how to accomplish this task in Python. In this guide, we will guide you through the process of sorting multiple CSV files by date in descending order (oldest first) and how to save these updates back to the original files or in a different directory. Understanding the Problem You have several .csv files located in an "Original" folder, and your goal is to sort each file based on the dates found in the second column. However, the dates are formatted as dd/mm/yyyy, which presents a nuanced challenge when it comes to sorting. Here is a sample of your original CSV data: [[See Video to Reveal this Text or Code Snippet]] The desired output after sorting should appear as follows: [[See Video to Reveal this Text or Code Snippet]] Solution Overview To sort the CSV files correctly, we will implement a Python script that: Reads the CSV files from a specified directory. Processes each file by sorting the rows based on the date. Writes the sorted content back to the original file or saves it to a new directory. Step-by-Step Guide Here's the Python code that will help you accomplish your task: [[See Video to Reveal this Text or Code Snippet]] Explanation of the Code Import Libraries: We start by importing the necessary libraries. The csv library is essential for handling CSV files, and glob allows us to search for files based on path patterns. Specify Path: We define the path to the "Original" directory where your CSV files are located. Open Each File: Using a for loop, we iterate through each CSV file. We open each file in read-plus (r+ ) mode, which allows both reading and writing. Read Data: We read the content of each file into a list called lists. Sort by Date: The key part of our code involves sorting the list. We create a lambda function that rearranges the date format to yyyy-mm-dd for proper sorting. Clear File Content: We truncate the file, which removes its current content, and prepare to write the sorted data. Write Sorted Data: Finally, we use the csv.writer to write the sorted rows back to the same file. Conclusion Sorting CSV files by date can be straightforward with Python if you have the right approach. By following the above steps, you can easily organize your data while ensuring that the dates are accurately sorted. If you run into any issues or have questions about this code, feel free to reach out! This method can drastically enhance your data management skills and prepare your dataset for more in-depth analysis in the future.