Скачать или смотреть Convert Python Nested Dictionary to List of Lists Without Pandas

Learn how to easily transform a nested dictionary into a `list of lists` in Python without using Pandas. Perfect for simplifying data representation!
---
This video is based on the question https://stackoverflow.com/q/69201194/ asked by the user 'franco_b' ( https://stackoverflow.com/u/2418290/ ) and on the answer https://stackoverflow.com/a/69201310/ provided by the user 'Ajax1234' ( https://stackoverflow.com/u/7326738/ ) 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: Convert Python nested dictionary to table or list of list (without Pandas)

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.
---
Transforming a Nested Dictionary into a List of Lists in Python

When working with Python dictionaries, especially nested ones, converting them into a more manageable structure like a list of lists can become necessary. This is particularly helpful when you want to present data in a tabular format but cannot rely on external libraries like Pandas. In this guide, we'll walk through the problem and provide a straightforward solution using a simple Python function.

Understanding the Problem

Imagine you have a nested dictionary representing logs and their related fields. The structure looks something like this:

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

Your goal is to convert this nested dictionary into a list of lists, where each entry is structured for easy presentation. For instance, your desired output should look something like this:

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

This structure is conducive for displaying in a table format like below:

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

The Solution

Using a Recursive Function

To achieve this conversion without using Pandas, we can make use of a recursive function. This function will allow us to traverse the nested structure and retrieve values systematically.

Here’s a sample implementation:

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

Output Explanation

When you run this code, the output will be:

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

This output provides you with a structured representation of the original nested dictionary, ready to be utilized in a more readable format such as a table.

Conclusion

Converting a nested dictionary into a list of lists is an effective way to manage complex data structures in Python. By utilizing a recursive function, you can achieve this without needing external libraries like Pandas, thus keeping your code simple and efficient. Now that you know how to tackle this problem, you can adapt the solution to fit various scenarios involving nested dictionaries in your projects.