Скачать или смотреть How to Create a Nested Dictionary from a CSV File in Python

Learn how to efficiently convert a CSV file into a nested dictionary using Python. This guide will walk you through the process with code examples and explanations.
---
This video is based on the question https://stackoverflow.com/q/72477996/ asked by the user 'Dave0' ( https://stackoverflow.com/u/11140557/ ) and on the answer https://stackoverflow.com/a/72478115/ provided by the user 'Mike Scotty' ( https://stackoverflow.com/u/4349415/ ) 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: How to create nested dict from CSV file?

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 Create a Nested Dictionary from a CSV File in Python

CSV files are a common format for storing structured data, and sometimes you need to transform this data into a more usable structure for your applications. One such transformation is creating a nested dictionary from a CSV file in Python. In this guide, we will explore how to achieve this step by step.

The Problem

Imagine you have a CSV file with device details, as shown below:

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

You want to convert this file into a nested dictionary format where each switch name is a key, and its respective interfaces and VLANs are values in additional dictionaries. For instance, the above data should look like this for switch1:

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

However, if you attempt to create this data structure using the following code, you will only capture the last interface and vlan pair for each switch:

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

When you run this code, the output will not include all interfaces for each switch, as it's overwriting the dictionary for each iteration. Let's fix this.

The Solution

To create a nested dictionary that properly encapsulates all interfaces and their associated VLANs, we can make use of defaultdict from the collections module. This allows us to automatically create dictionary entries without having to check if they exist first.

Step 1: Import Required Modules

First, we need to import the necessary modules:

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

Step 2: Initialize a defaultdict

Now, instead of a standard dictionary, we will use a defaultdict:

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

Step 3: Read the CSV File and Populate the Dictionary

Next, we'll read the contents of the CSV file and populate our nested dictionary:

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

Step 4: Output the Result

Finally, we can print the resulting nested dictionary neatly:

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

Complete Code Example

Here is the complete code snippet:

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

Expected Output

When you run the above code, you should see:

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

Conclusion

By using defaultdict, you can efficiently create a nested dictionary from a CSV file in Python. This method not only simplifies the code but also makes it easier to manage your data without the need for additional checks. Now you can manipulate your device data easily in a structured format!

Feel free to try this out with your own CSV files and explore the capabilities of Python's data handling features!