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Скачать или смотреть How to Retrieve the Value of a Multi-Nested Dictionary in Python

  • vlogize
  • 2025-04-08
  • 1
How to Retrieve the Value of a Multi-Nested Dictionary in Python
How to retrieve the value of a multi nested dictionarypythondictionary
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Описание к видео How to Retrieve the Value of a Multi-Nested Dictionary in Python

Learn how to navigate and extract data from a `multi-nested dictionary` in Python, including practical examples on accessing specific keys like 'med_dict'.
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This video is based on the question https://stackoverflow.com/q/72997390/ asked by the user 'Mithel' ( https://stackoverflow.com/u/18323717/ ) and on the answer https://stackoverflow.com/a/72997482/ provided by the user 'Daniel Hao' ( https://stackoverflow.com/u/10760768/ ) 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 retrieve the value of a multi nested dictionary

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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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Unlocking the Secrets of Multi-Nested Dictionaries in Python

If you’ve ever worked with complex data structures in Python, you may have stumbled upon multi-nested dictionaries. These can seem daunting at first, especially if you need to extract specific values from them. One common challenge is how to retrieve maximum values from nested dictionaries, such as the values labeled endDate in a multi-layered dictionary. In this guide, we’ll walk you through how to efficiently extract the value you need and make working with nested dictionaries a breeze.

Understanding the Structure

Before diving into the solution, let’s take a closer look at our example dictionary:

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

This dictionary contains two primary keys (0 and 1), each of which leads to another dictionary that holds various country values and another nested dictionary called med_dict. Inside each med_dict, you'll find yet another dictionary containing keys like endDate and endTime that we are interested in.

How to Retrieve Values from a Nested Dictionary

To extract the endDate values from each med_dict, you can iterate over the main dictionary and target the specific nested keys. Here’s a step-by-step breakdown of how to do this:

Step 1: Loop Through the Main Dictionary

You’ll first want to set up a loop that goes through all the keys in the main dictionary (Data). In our case, these keys are 0 and 1.

Step 2: Access the Nested Dictionary

For each key, you can then access the med_dict key, which is a dictionary itself. Inside this med_dict, the endDate can be accessed.

Step 3: Print the Retrieved Values

Using Python’s print function, you can display the endDate values. Here’s the code that accomplishes this:

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

Explanation of the Code

for k in Data: This loop iterates over each key in the Data dictionary.

Data[k]['med_dict'][0]['endDate']: This accesses the med_dict of each primary key k and retrieves the endDate value of the first entry in that nested dictionary.

When executed, the above code will output:

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

These values are the endDate from each med_dict in our Data dictionary.

Finding the Maximum Value

If your goal is to retrieve the maximum endDate value from the nested dictionaries, you just need a small adjustment to the code. You can use the max() function along with a list comprehension for this purpose:

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

This will give you the maximum endDate across all entries in the dictionary.

Conclusion

Extracting values from a multi-nested dictionary doesn’t have to be overwhelming. By understanding the structure and using clear iterating techniques, you can access the values you need without hassle. Whether you're retrieving individual values or calculating maximums, Python’s functionality makes it simple and efficient.

So the next time you encounter a multi-nested dictionary, remember these steps and don’t let the complexity intimidate you!

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