Reading and Writing JSON Files in Python with Pandas
Introduction
Pandas is one of the most commonly used Python libraries for data handling and visualization. The Pandas library provides classes and functionalities that can be used to efficiently read, manipulate and visualize data, stored in a variety of file formats.
In this article, we’ll be reading and writing JSON files using Python and Pandas.
What is a JSON File?
JavaScript Object Notation (JSON) is a data format that stores data in a human-readable form. While it can be technically be used for storage, JSON files are primarily used for serialization and information exchange between a client and server.
Although it was derived from JavaScript, it’s platform-agnostic and is a widely-spread and used format – most prevalently in REST APIs.
Creating a JSON File
To create JSON files via Python, data has to be stored in a certain way. There are multiple ways of storing this data using Python. Some of the methods have been discussed in this article.
We’ll first create a file using core Python and then read and write to it via Pandas.
Creating JSON Data via a Nested Dictionaries
In Python, to create JSON data,