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Скачать или смотреть How to Write into JSON Files in Python without Overwriting Existing Data

  • vlogize
  • 2025-09-26
  • 1
How to Write into JSON Files in Python without Overwriting Existing Data
python writing into json files witout overwritingjsonpython 3.x
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Описание к видео How to Write into JSON Files in Python without Overwriting Existing Data

Learn how to add new information to JSON files in Python without losing any existing data. This guide walks you through a simple method to merge and save data efficiently.
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This video is based on the question https://stackoverflow.com/q/63064207/ asked by the user 'aleee' ( https://stackoverflow.com/u/13491206/ ) and on the answer https://stackoverflow.com/a/63075092/ provided by the user 'Mike67' ( https://stackoverflow.com/u/13878034/ ) 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: python writing into json files witout overwriting

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.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
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How to Write into JSON Files in Python without Overwriting Existing Data

Handling data efficiently is crucial in programming, and one common format for storing structured data is JSON (JavaScript Object Notation). However, a typical challenge many face is how to write new entries to a JSON file without overwriting the existing data. Let’s dive into how we can achieve this and walk through the necessary steps.

Understanding the Problem

You might have a JSON file, file.json, that contains certain data. For instance, it may look like this:

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

As you continue to gather data, you may want to append new entries without losing the previous information. For example, you may want to add a new date entry, such as “other day,” resulting in a file that looks like this:

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

Now, let's explore how to accomplish this efficiently in Python.

Step-by-Step Solution

Step 1: Define New Data

First, you need to define the new data you want to add to your JSON file. This will be structured as a string that resembles the format we want to integrate.

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

Step 2: Read the Current Data

Next, we’ll read the current contents of the JSON file. This allows us to see what data we currently have before we make any modifications.

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

Step 3: Merge New Data

Once we have the existing data loaded, we'll merge it with our new data. This step requires us to be careful to format the data correctly, especially ensuring proper JSON formatting.

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

This line of code removes the closing brace from the initial string (curdata), adds a comma for separation, appends the newdata, and finally adds back the closing brace.

Step 4: Write the Updated Data Back

Finally, you need to write the newly merged data back into the file, effectively updating it without losing existing information.

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

Full Code Example

The complete implementation of the above steps will look like this:

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

Conclusion

By following these steps, you can successfully add new entries to JSON files in Python without overwriting the data already present. This technique is particularly useful when dealing with growing datasets where historical data integrity is crucial. Next time you need to add information without losing existing data, just reuse this method!

Experiment with this code snippet in your own projects to manage JSON files effectively. Happy coding!

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