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Learn how to effectively check for duplicate dictionaries by a specified key and remove those with a different key by following a simple Python approach.
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How to Remove Duplicate Dictionaries by a Key in Python

When working with data in Python, you may encounter situations where you have lists of dictionaries that contain duplicate entries based on certain keys. One common problem is wanting to remove duplicates while keeping the entry with the highest or lowest value for a different key. In this guide, we will explore how to tackle the challenge of checking for duplicate dictionaries by the key initials and removing duplicates based on the score.

The Problem

Imagine you have a dataset represented as a list of dictionaries where each dictionary contains an individual's initials and a corresponding score:

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

In this scenario, each individual may have multiple score entries, and we want to remove duplicates while keeping the dictionary with the highest score for each unique set of initials. The desired output would look like this:

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

The Solution

To achieve this, we can follow a structured approach in Python. We'll utilize a dictionary to keep track of the score for each set of initials and update it if a higher score is found. Here's a step-by-step breakdown of how to implement this.

Step 1: Initialize the Data

We start with our list of dictionaries:

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

Step 2: Create a Dictionary for Tracking

We'll create a new dictionary called dict_of_dict to keep track of each unique initials and its highest score.

Step 3: Loop Through Each Dictionary

Using a loop, we will check if each initials is already in our tracking dictionary. If it is not there, we will add it. If it is already present, we'll check if the current score is higher than the stored score and update it if necessary.

Step 4: Extract the Results

Finally, we will convert our dictionary back into a list of dictionaries containing only the unique initials and corresponding highest scores.

Here’s the complete code that implements the above logic:

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

Output

Running this code will yield the result:

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

Conclusion

In this post, we explored how to check for duplicate dictionaries by a specific key in a list of dictionaries and remove duplicates based on a different key. By using a dictionary for tracking and simple comparison logic, we were able to efficiently filter the original list.

This approach is versatile and can be adapted to various datasets where similar operations are required. Have fun coding and feel free to reach out with more challenges or questions in Python!