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Pandasdata~15 mins

Reading JSON with read_json in Pandas - Mini Project: Build & Apply

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Reading JSON with read_json
📖 Scenario: You work in a small bookstore. You receive book data from your supplier in JSON format. You want to load this data into Python to analyze it easily.
🎯 Goal: Load the JSON data into a pandas DataFrame using read_json and display it.
📋 What You'll Learn
Use pandas library
Create a JSON string variable with book data
Use pandas read_json to load the JSON string
Print the resulting DataFrame
💡 Why This Matters
🌍 Real World
Many data sources provide data in JSON format. Loading JSON into pandas helps analyze and visualize data easily.
💼 Career
Data scientists and analysts often need to read JSON data from APIs or files to prepare data for analysis.
Progress0 / 4 steps
1
Create JSON string with book data
Create a variable called json_data and assign it this exact JSON string: '[{"title": "Python Basics", "author": "John Doe", "price": 29.99}, {"title": "Data Science 101", "author": "Jane Smith", "price": 39.99}, {"title": "Machine Learning", "author": "Tom Brown", "price": 49.99}]'
Pandas
Need a hint?

Use single quotes outside and double quotes inside for the JSON string.

2
Import pandas library
Import the pandas library with the alias pd by writing import pandas as pd
Pandas
Need a hint?

Use the standard import statement for pandas.

3
Load JSON string into DataFrame
Use pd.read_json with the variable json_data to create a DataFrame called df
Pandas
Need a hint?

Use pd.read_json(json_data) to read the JSON string.

4
Print the DataFrame
Print the DataFrame df to see the loaded book data
Pandas
Need a hint?

Use print(df) to display the DataFrame.