We can use the Simplejson library to convert the Pandas DataFrame to a JSON object. We are storing the DataFrame in the variable df. In this code, we are using the read_excel method of the Pandas library to load the Excel file into a Pandas DataFrame. We can use the following code to load the Excel file: import pandas as pd df = pd.read_excel('excel_file.xlsx') We can use the Pandas library to load the Excel file into a Pandas DataFrame. Simplejson is a Python library that can encode and decode JSON data. Openpyxl is a Python library that can read and write Excel files. Pandas is a Python library that provides data analysis tools for handling tabular data. We can use the following command to install these libraries: pip install pandas openpyxl simplejson We need to install the required libraries to work with Excel and JSON files. Python is a popular programming language that is easy to learn and has many libraries for data analysis. Steps to Convert Large Excel Files to JSONĬonverting Excel files to JSON is a straightforward process. JSON files can also be used in web applications and APIs, which are becoming increasingly popular. JSON files are smaller than Excel files, making them easier to share and store. Why Convert Excel to JSON?Įxcel files are primarily used for data analysis, but JSON is an ideal format for data exchange. JSON data is stored in key-value pairs and is represented as objects or arrays. JSON is widely used for data exchange between different systems, especially in web applications. It is a lightweight data format that is easy to read and write.

JSON stands for JavaScript Object Notation. We will provide a step-by-step guide and some practical tips to help you achieve this task. In this article, we will explore how to convert large Excel files to JSON without using too much memory. However, as the size of the spreadsheet grows, it becomes challenging to process it efficiently. Excel spreadsheets are a commonly used tool in data management, analysis, and presentation.

Converting excel to json