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Скачать или смотреть How to Remove a Dictionary if an Empty List is Found in Python

  • vlogize
  • 2025-09-25
  • 0
How to Remove a Dictionary if an Empty List is Found in Python
Remove a dictinoary if empty list is found in Pythonpythonjson normalize
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Описание к видео How to Remove a Dictionary if an Empty List is Found in Python

Learn how to effectively remove dictionaries with empty lists from a list of dictionaries in Python using list comprehensions.
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This video is based on the question https://stackoverflow.com/q/62858299/ asked by the user 'Tommy_SK' ( https://stackoverflow.com/u/13841348/ ) and on the answer https://stackoverflow.com/a/62858361/ provided by the user 'Karthik Radhakrishnan' ( https://stackoverflow.com/u/13625941/ ) 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: Remove a dictinoary if empty list is found in 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.

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Removing a Dictionary with Empty Lists in Python

When working with data in Python, there are scenarios where you might need to remove dictionaries that contain empty lists. This can be particularly important when dealing with structured data, such as customer transactions, where an empty transaction list doesn't hold any value. In this guide, we will walk through a common problem encountered in Python and provide a clean solution using list comprehensions.

The Problem

Imagine you have a list of dictionaries, each representing a customer's transaction details. Here’s a snippet of what that data might look like:

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

In the above example, one of the dictionaries has an empty Transaction list. Consequently, it does not provide any useful information. If we want to clean our data by removing such dictionaries, we can accomplish this efficiently in Python.

The Goal

Our objective is to filter out any dictionary that has an empty Transaction list, ensuring that only relevant data remains. The desired output after the filtering process would be:

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

The Solution

To achieve this, we can utilize a Python feature called list comprehensions. This means we will create a new list by iterating through our original list and including only those dictionaries that contain non-empty Transaction lists.

Here’s the simple code that accomplishes this:

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

How It Works

List Comprehension: This is a concise way to create lists. In our case, it iterates through each dictionary (sub) in results.

Condition Check: The expression if sub['Transaction'] checks whether the Transaction list within each dictionary is not empty. If it contains any elements, the dictionary is included in the new list (res).

Result: The filtered list (res) will only include dictionaries with non-empty Transaction lists.

Example Output

Upon running the solution code, the output would be:

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

Conclusion

Removing dictionaries with empty lists is a common task in data cleaning and manipulation. By using a simple list comprehension, you can effectively filter out unwanted data, allowing for a more streamlined dataset. This technique not only applies to transaction data but can also be used in various contexts where you need to cleanse unstructured data.

Keep this approach in mind for your data processing tasks in Python, and you'll find it to be a powerful tool in your programming toolkit!

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