Скачать или смотреть How to Replace Data in a JSON File with a DataFrame in Python Using pandas

Learn how to effectively replace data in a JSON file with a dataframe using Python's pandas library. This step-by-step guide simplifies the process and ensures you get your desired output effortlessly.
---
This video is based on the question https://stackoverflow.com/q/65791107/ asked by the user 'user123' ( https://stackoverflow.com/u/14944419/ ) and on the answer https://stackoverflow.com/a/65791385/ provided by the user 'quamrana' ( https://stackoverflow.com/u/4834/ ) 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: Replace data in json file with a dataframe

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.
---
Replacing Data in a JSON File with a DataFrame in Python

Working with JSON files in Python can be tricky, especially when you need to update values using data from a dataframe. If you’re familiar with pandas, this task can be accomplished with just a few lines of code. In this guide, we will illustrate how to replace data in a JSON file with a dataframe and provide you with a step-by-step guide on how to do it without any hassle.

The Problem: Updating JSON Data with a DataFrame

Let’s say you have a JSON file structured as follows:

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

You intend to replace the contents of the dataBlock with new data from your dataframe. The new data in CSV format might look something like this:

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

You might have tried a piece of code to achieve this update, but it didn’t work as expected. Don’t worry; we’ll walk through how to do it correctly.

The Solution: Step-by-Step Guide

Follow these steps to replace the data in your JSON file with your dataframe.

1. Load the JSON File

To read the JSON file, you can use the json module in Python. Here’s how to do it:

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

This code snippet will read the JSON data into the variable jsonData.

2. Convert Your DataFrame to a List

Make sure your dataframe (dfFinalResult) is properly prepared. Convert it to a list before updating the JSON data:

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

3. Replace the DataBlock Content

To replace the original dataBlock content with your dataframe, do the following:

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

This line of code directly replaces the dataBlock content in jsonData with your new data.

4. Save the Updated JSON Data

Finally, write the updated data back to a new JSON file:

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

This code will create a new file named newjsonfile.txt containing the updated JSON data.

Complete Code Example

Putting it all together, here is the complete code to replace the data in your JSON file with a dataframe:

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

Conclusion

With these straightforward steps, you can easily replace data in a JSON file using a dataframe in Python. By understanding the process and using the provided code, you can ensure that your JSON data is correctly updated with the desired dataframe values. Good luck with your data manipulation tasks in Python!