How to Sort JSON Data by Date and Calculate Daily Totals in Python

Learn how to effectively sort data from a JSON file by date and aggregate values for each day using Python. This step-by-step guide helps you transform raw order data into meaningful daily totals.
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How to Sort JSON Data by Date and Calculate Daily Totals in Python

Managing and analyzing order data from an online shop can be a challenging task, especially when trying to extract insights from JSON files. A common requirement is to sort this data by date and accumulate the sales for each day. In this guide, we will walk through a practical example of how to achieve this task using Python.

Understanding the Problem

Imagine you have a JSON file structured as follows, which contains a list of orders with their total price and the date of the order:

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Your goal is to take these orders and create a summary report in a new JSON format that lists total sales for each day, even if there are no sales on certain days.

The Solution Steps

Here’s how you can achieve the desired outcome:

Step 1: Initialize Total Sales for Each Day

First, you'll need to create a dictionary that holds total sales for each day of the month. This dictionary will start with all days set to zero.

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Step 2: Process Each Order

Next, iterate through the orders in your JSON. For each order, extract the day from the updated_at timestamp and update the corresponding total in your dictionary.

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Step 3: Output Result

Finally, you can print out the results to see the total sales for each day, formatted as a new JSON.

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Step 4: Formatting in Desired JSON Structure

If you want to format this data into the specific JSON structure used in your example, you will need to transform the days_to_totals dictionary into a list of dictionaries.

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

Conclusion

With these steps, you can efficiently extract and aggregate data from your JSON orders, allowing you to create a daily sales report. This approach ensures you have the flexibility to adapt the JSON structure to meet your specific reporting needs. Whether you're tracking e-commerce sales or organizing data for analytics, mastering the manipulation of JSON with Python is a crucial skill. Happy coding!