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Learn how to easily append key-value pairs to dictionaries stored in a list in Python. Discover simple techniques to modify multiple entries without confusion!
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How to Add Elements Inside Consecutive Dictionaries in a List with Python

If you're working with data in Python, you may find yourself in situations where you need to modify collections of dictionaries. A common scenario is when you have a list of records represented as dictionaries and need to append additional information to each entry. This post will guide you through the process of adding key-value pairs to dictionaries stored inside a list, using a straightforward example.

The Problem

Imagine you have a list containing several dictionaries. Each dictionary holds data regarding students, and you would like to add their corresponding percentages to these records. For instance, you have the following list of student data:

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You also have a separate list that holds the percentages:

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Your goal is to modify the existing dictionaries in the data list to include a new key, 'Percentage', tied to each student's data. After the modification, the dictionaries should look like this:

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The Solution

The best way to achieve this is to use a loop that allows you to iterate over both lists simultaneously. In Python, this can be easily done with the zip() function. Here is how you can implement the solution:

Step-by-step Guide

Initialize your lists: Define the list of dictionaries and the percentages list.

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Loop through both lists: Use a for-loop together with zip() to traverse both the dictionary list and the percentages list. This allows you to pair the elements together.

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Display the modified list: After updating, print the list to see the new structure.

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Complete Code Example

Here's the complete code for clarity:

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What Happens Next?

When you run this code, the dictionaries in your data list will now include the 'Percentage' key assigned to each respective student's percentage:

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Conclusion

Appending key-value pairs to dictionaries in a list can be done seamlessly with Python using techniques like zip(). This approach offers a clean and efficient way to handle collections of data records while ensuring your code remains readable and maintainable.

Whether you are processing data for a school, a business, or personal projects, understanding how to manipulate lists of dictionaries will make you a more effective Python programmer. If you have any further questions or need clarification, feel free to reach out or comment below!