Скачать или смотреть Sort DataFrame Rows Alphabetically in Pandas

Learn how to easily `sort DataFrame rows` alphabetically in Pandas using Python with clear steps and examples!
---
This video is based on the question https://stackoverflow.com/q/72934754/ asked by the user 'mab15' ( https://stackoverflow.com/u/19508954/ ) and on the answer https://stackoverflow.com/a/72934913/ provided by the user 'Ynjxsjmh' ( https://stackoverflow.com/u/10315163/ ) 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: pandas sort alphabetically for every row based on column content

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.
---
Sort DataFrame Rows Alphabetically in Pandas

Have you ever faced a situation where you need to sort the content of a DataFrame alphabetically for each row, but you're not quite sure how to accomplish this using Pandas? Sorting rows independently, especially when the data is split across different columns, is a common but tricky problem.

In this guide, we'll go through a clear and efficient way to achieve this using Python's Pandas library. We'll break it down step by step, so you can understand and implement it easily in your own projects.

The Problem

Suppose you have a DataFrame that contains pairs of names separated into two columns. Here's an example of such a DataFrame:

Col1Col2BonnieAnnaConnorEthanSophiaDanielThe goal is to sort the names in each row alphabetically so that you get the following result:

Col1Col2AnnaBonnieConnorEthanDanielSophiaWhy is this a Challenge?

Sorting values in a DataFrame typically uses the sort_values method, which is designed for sorting entire columns based on their values. However, when you need to sort values in each row independently, a different approach is necessary.

The Solution

To sort each row of the DataFrame alphabetically, you can use the apply method combined with a lambda function and the Python built-in sorted() function.

Step-by-Step Guide

Use the apply Method: This allows you to apply a function along an axis of the DataFrame.

Sort Each Row: Utilize the sorted() method, which will rearrange the contents of each row in alphabetical order.

Set the Original Column Names: After sorting, make sure to use set_axis() to restore the original column names.

Here’s how you can implement this in Python:

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

Output

When you execute the code above, you'll get the following output:

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

Conclusion

Sorting rows of a Pandas DataFrame alphabetically is straightforward once you know how to approach it. By using the apply method alongside a lambda function, you can efficiently sort the values in each row.

Feel free to experiment with this technique on your own DataFrames! Sorting data can lead to better insights and improved readability in your datasets.

If you have any further questions or need clarification on any details, feel free to ask! Happy coding!