Convert CSV to JSON with Python: Easy Steps to Get Your Desired Output

Learn how to retrieve JSON from CSV using Python by following this in-depth guide, ensuring you get the format you need for your data.
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Transforming CSV to JSON Using Python

Handling data in different formats is a common challenge faced by many developers, especially when it involves converting CSV files into JSON. Many situations require specific formatting to work correctly with APIs or data reports. In this guide, we'll walk through a practical example of how to retrieve JSON from a CSV file using Python, achieving the desired output format you need.

The Problem: Input CSV

Let's start with the challenge. We have a CSV file with the following structure:

referencemccvaluecurrency100005300134.09USD100015651128.95USD100025912104.71USDYour objective is to convert this data into a structured JSON format. It’s important to note that you want your numeric values and currency corresponding to each reference and mcc combination structured clearly without lists for amounts.

The Output: Desired JSON Format

The goal is to achieve the desired JSON output as structured below:

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

The Solution: Python Code

To achieve this conversion, you can use the following Python script. This code takes the CSV file and processes it to create a well-formatted JSON structure.

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

Step-by-Step Breakdown of the Code

Import Required Libraries: Here, we import csv for reading CSV files and json for output formatting.

File Path: Set the path to your CSV file.

Read CSV: Using DictReader, we read the file and get each row as a dictionary.

Transform Data:

For each row, a new amount dictionary is created which contains value (converted to a float) and currency (popped from the original row).

The original value and currency fields are replaced with this new formatted structure.

Important Notes

Data Types: Ensure that the value is stored as a numeric (float) instead of a string.

No Lists for Amount: As per the requirement, the amount should not fall within square brackets [], but rather be a standalone dictionary.

By following these steps, you can efficiently transform your CSV data into the JSON format that your project requires. If you have any further questions or run into issues while implementing this, feel free to reach out!