Скачать или смотреть Understanding the python Error: How to Properly Store json Values into a list

A detailed guide on how to extract and store values from a `json` object into a `list` in Python. Learn to debug your code and avoid common mistakes!
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This video is based on the question https://stackoverflow.com/q/63355488/ asked by the user 'Andersen' ( https://stackoverflow.com/u/11766318/ ) and on the answer https://stackoverflow.com/a/63355524/ provided by the user 'Noah' ( https://stackoverflow.com/u/14028308/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

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Resolving Python's JSON Value Issue: Storing Values in a List

When working with Python and JSON data, you might encounter situations where you want to extract certain values and store them into a list for further use. A common issue arises when developers mistakenly overwrite their lists instead of populating them. In this guide, we’ll delve into a specific coding challenge: how to effectively extract date values from a JSON object and store them in a list.

The Problem

You might have a JSON object structured like this, containing date values among other data types:

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

In your loop intended to extract these values, you faced an issue where instead of appending the date strings to your list, your code ended up just storing the last date and printing the first character instead. Here’s an excerpt of your initial implementation:

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

Observations

The code sets F_Date to an individual string rather than appending the string to the list.

When you use F_Date[0], you are only getting the first character of that string.

The Solution

To fix the issue, you need to append the DisplayValue of each cell to your list F_Date instead of overwriting it. Here’s how you can do it:

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

Explanation of the Changes

Using append():

The append() method adds each value to the end of the list, preserving all entries rather than replacing them.

Printing Full Values:

By printing cell["DisplayValue"], you now see the complete date string instead of just the first character.

The Result

With these adjustments, you'll have a list F_Date that looks like this after the loop completes:

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

You can now access any specific date from the list using its index, e.g., F_Date[0] will yield '2020-05-20T00:00:00'.

Conclusion

In this blog, we identified a common stumbling block when working with JSON data in Python: mistakenly overwriting lists instead of adding elements to them. Remember to always use append() when you want to build a collection of items. By following the corrected example, you'll be able to extract and utilize values from JSON efficiently, thus enhancing your coding skills and productivity.

Happy coding!