np.setdiff1d() for difference in NumPy - Mini Project: Build & Apply

Find Unique Items Using np.setdiff1d()

📖 Scenario: Imagine you have two lists of products from two different stores. You want to find which products are available in the first store but not in the second store.

🎯 Goal: Build a small program that uses np.setdiff1d() to find items unique to the first list.

📋 What You'll Learn

Create two numpy arrays with exact product names

Create a variable to hold the difference using np.setdiff1d()

Print the resulting array of unique items

💡 Why This Matters

🌍 Real World

Finding unique items between two lists is common in inventory management, customer lists, or comparing datasets.

💼 Career

Data analysts and scientists often need to compare datasets to find differences or unique entries.

1

Create the product lists

Create a numpy array called store1_products with these exact items: 'apple', 'banana', 'cherry', 'date', 'fig'.

NumPy

# Create the numpy array store1_products with the given items
# Your code here

Need a hint?

Use np.array([...]) to create the array with the exact product names.

2

Create the second product list

Create a numpy array called store2_products with these exact items: 'banana', 'date', 'elderberry', 'grape'.

NumPy

import numpy as np
store1_products = np.array(['apple', 'banana', 'cherry', 'date', 'fig'])
# Create the numpy array store2_products with the given items
# Your code here

Need a hint?

Use np.array([...]) again to create the second list with the exact product names.

3

Find products unique to the first store

Create a variable called unique_to_store1 that uses np.setdiff1d() to find items in store1_products that are not in store2_products.

NumPy

import numpy as np
store1_products = np.array(['apple', 'banana', 'cherry', 'date', 'fig'])
store2_products = np.array(['banana', 'date', 'elderberry', 'grape'])
# Use np.setdiff1d() to find unique items in store1_products
# Your code here

Need a hint?

Use np.setdiff1d(array1, array2) to find items in array1 not in array2.

4

Print the unique products

Print the variable unique_to_store1 to display the products unique to the first store.

NumPy

import numpy as np
store1_products = np.array(['apple', 'banana', 'cherry', 'date', 'fig'])
store2_products = np.array(['banana', 'date', 'elderberry', 'grape'])
unique_to_store1 = np.setdiff1d(store1_products, store2_products)
# Print the unique_to_store1 array
# Your code here

Need a hint?

Use print(unique_to_store1) to show the result.