python json beautiful print
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JSON (JavaScript Object Notation) is a lightweight data interchange format widely used for data exchange between a server and a web application, among other purposes. When working with JSON data in Python, the json module provides a way to parse JSON strings and encode Python objects into JSON format. Additionally, the json module allows you to achieve beautiful and human-readable JSON output using the indent parameter.
In this tutorial, we will explore how to use the json module to load JSON data, pretty-print it for better readability, and explore some common use cases.
The json module is part of the Python standard library, so there is no need to install it separately. You can import it using the following statement:
To pretty-print JSON data, you first need to load the JSON string into a Python object using the json.loads() function. If you have a JSON file, you can use json.load() to load the data directly from the file. Here's an example using a JSON string:
Once the JSON data is loaded into a Python object, you can use the json.dumps() function with the indent parameter to pretty-print the data. The indent parameter specifies the number of spaces to use for indentation.
In this example, the indent=2 argument specifies that the JSON data should be indented with 2 spaces, making it more readable.
Here's a complete example that combines the above steps:
When you run this script, you'll get a nicely formatted and human-readable output of the JSON data.
This approach is useful when dealing with large and complex JSON structures, making it easier to understand the data's hierarchy and relationships. Feel free to explore additional features of the json module, such as handling custom serialization with the default parameter or using the sort_keys parameter to sort the keys alphabetically in the output.
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