How to Convert a Large CSV File into Multiple JSON Files Using Python [

Discover how to efficiently break down large CSV files into manageable JSON files with Python. Learn the step-by-step method to automate this conversion process and enhance data handling.
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Converting a Large CSV File into Multiple JSON Files Using Python

In the world of data management, handling large files can become cumbersome, particularly when transforming data formats. Often, we find ourselves dealing with substantial CSV files that need to be converted into a different format for better usability and access. A common challenge arises when dealing with vast datasets, such as a CSV file with over 600,000 rows. In such cases, converting this large CSV into a single JSON file can lead to management issues due to the size and complexity of the resulting data.

In this guide, we will explore how to convert a large CSV file into multiple JSON files using Python, ensuring better organization and ease of access. Let’s dive into the process!

The Challenge: Managing Large JSON Files

When you convert a large CSV file into a single JSON file, you might end up with a bulky file that is difficult to open, navigate, and manage. For example, if each CSV entry corresponds to one data point, a file containing 600,000 rows will generate a JSON file with the same number of entries—making editing and reading a daunting task.

The Solution: Split CSV into JSON Parts

To solve this problem, we'll modify the existing code to create multiple JSON files. Each new file will contain a manageable number of entries (for example, 5,000). This way, instead of one huge JSON file, you’ll have numerous smaller files that are easier to handle. Here’s how you can implement this solution:

Step 1: Define a Threshold

First, you'll need to set a threshold defining how many entries each JSON file will contain. In this case, we’ll set the threshold to 5,000.

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Step 2: Create a Function to Write JSON Files

Next, create a function that handles the writing of JSON data to a file. This function will be called whenever the threshold is reached.

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Step 3: Modify the CSV to JSON Function

Now, let’s modify the existing csv_to_json function to incorporate the threshold logic. Instead of waiting to process all rows at once, this function will write out the data to a new JSON file each time the number of entries reaches 5,000.

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Step 4: Bringing It All Together

Once you've created the functions above, invoke the csv_to_json function with the paths to your CSV file and the desired output JSON file template. You can start by replacing the paths as shown below:

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Final Thoughts

By modifying the existing code to split large CSV files into multiple manageable JSON files, you can effectively enhance the organization of your data. This method not only makes individual files easier to manage but also allows for simplified data processing and analysis.

Now you can apply this technique whenever you're faced with large datasets, keeping your JSON files coherent and manageable! Happy coding!

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