How to Convert JSON to Excel in Python
Last Updated :
30 Aug, 2024
JSON (JavaScript Object Notation) is a widely used data format that is both easy to read and write for humans and simple for machines to parse and generate. However, there may be times when we need to convert this JSON data into an Excel spreadsheet for analysis or reporting. In this article, we'll explore how to import JSON data into Excel using Python, a process that can be automated and customized to suit our needs.
Install Pandas and Openpyxl
Before we start, let's install the required modules:
pip install pandas
pip install openpyxl
Read JSON Data in Python
The first step is to prepare data to read. Create a data.json file in the project folder and add the following data.
{
"name": "GFG",
"domain": "geeksforgeeks.org",
"office": "Noida",
"hiring":true
}
Let's start by reading the JSON data using Python. We will use the json.load() function to read the JSON data from the file. Upon reading, the data will be converted to Python Native data type for e.g., Python dictionary, which can easily be converted to a Pandas DataFrame.
Python
import json
import pandas as pd
# Load JSON data
with open('data.json') as file:
data = json.load(file)
print(data)
Output
Read json data in python
Convert JSON Data to Pandas DataFrame
Now that we have the JSON data, the next step is to convert it into a Pandas DataFrame. This step is crucial because it allows us to manipulate and analyze the data easily.
Python
# ...
# Convert json data to pandas dataframe
df = pd.DataFrame([data], index=[0])
print(df)
Output
Convert JSON Data into Pandas DataFrameIf our JSON data is a list of dictionaries, each dictionary will be a row in the DataFrame. If it's a dictionary of lists, each list will be a column.
Export Pandas DataFrame to Excel
Once we have the data in a DataFrame, the next step is to export it to an Excel file. We will use the to_excel() function to export the DataFrame to an Excel file named output.xlsx.
The index=False argument ensures that the DataFrame index is not written to the Excel file.
Python
# ...
# Export DataFrame to Excel
df.to_excel('output.xlsx', index=False)
Verify the Excel File
After running the script, we get an Excel file named output.xlsx in our working directory.
Output.xlsx
Output.xlsx
Now, let's add some more data to data.json and see whether our program runs well for them or not.
Example: data.json
[
{"name": "Arun", "age": 22, "city": "New Delhi"},
{"name": "Suraj", "age": 25, "city": "Noida"},
{"name": "Satyam", "age": 35, "city": "Chicago"}
]
For the above data, we do not need to pass the index argument while converting the JSON data into Pandas Dataframe.
Python
import json
import pandas as pd
# Load JSON data
with open('sample_data/data.json') as file:
data = json.load(file)
df = pd.DataFrame([data])
df.to_excel('output.xlsx', index=False)
Output
Json data to excelBy following the above steps, we can easily dump any JSON data into an Excel sheet.
Conclusion
In this article, we walked through the process of converting JSON data into Excel using Python. By leveraging the power of Python’s pandas library, we can easily manipulate and analyze JSON data before exporting it to Excel. This workflow is particularly useful for handling large datasets or performing complex analyses that would be difficult in Excel alone.
Similar Reads
Python Tutorial | Learn Python Programming Language Python Tutorial â Python is one of the most popular programming languages. Itâs simple to use, packed with features and supported by a wide range of libraries and frameworks. Its clean syntax makes it beginner-friendly.Python is:A high-level language, used in web development, data science, automatio
10 min read
Python Interview Questions and Answers Python is the most used language in top companies such as Intel, IBM, NASA, Pixar, Netflix, Facebook, JP Morgan Chase, Spotify and many more because of its simplicity and powerful libraries. To crack their Online Assessment and Interview Rounds as a Python developer, we need to master important Pyth
15+ min read
Non-linear Components In electrical circuits, Non-linear Components are electronic devices that need an external power source to operate actively. Non-Linear Components are those that are changed with respect to the voltage and current. Elements that do not follow ohm's law are called Non-linear Components. Non-linear Co
11 min read
Python OOPs Concepts Object Oriented Programming is a fundamental concept in Python, empowering developers to build modular, maintainable, and scalable applications. By understanding the core OOP principles (classes, objects, inheritance, encapsulation, polymorphism, and abstraction), programmers can leverage the full p
11 min read
Python Projects - Beginner to Advanced Python is one of the most popular programming languages due to its simplicity, versatility, and supportive community. Whether youâre a beginner eager to learn the basics or an experienced programmer looking to challenge your skills, there are countless Python projects to help you grow.Hereâs a list
10 min read
Python Exercise with Practice Questions and Solutions Python Exercise for Beginner: Practice makes perfect in everything, and this is especially true when learning Python. If you're a beginner, regularly practicing Python exercises will build your confidence and sharpen your skills. To help you improve, try these Python exercises with solutions to test
9 min read
Python Programs Practice with Python program examples is always a good choice to scale up your logical understanding and programming skills and this article will provide you with the best sets of Python code examples.The below Python section contains a wide collection of Python programming examples. These Python co
11 min read
Spring Boot Tutorial Spring Boot is a Java framework that makes it easier to create and run Java applications. It simplifies the configuration and setup process, allowing developers to focus more on writing code for their applications. This Spring Boot Tutorial is a comprehensive guide that covers both basic and advance
10 min read
Class Diagram | Unified Modeling Language (UML) A UML class diagram is a visual tool that represents the structure of a system by showing its classes, attributes, methods, and the relationships between them. It helps everyone involved in a projectâlike developers and designersâunderstand how the system is organized and how its components interact
12 min read
Enumerate() in Python enumerate() function adds a counter to each item in a list or other iterable. It turns the iterable into something we can loop through, where each item comes with its number (starting from 0 by default). We can also turn it into a list of (number, item) pairs using list().Let's look at a simple exam
3 min read