np.union1d() for union in NumPy - Mini Project: Build & Apply

Using np.union1d() to Find the Union of Two Arrays

📖 Scenario: Imagine you have two lists of product IDs from two different stores. You want to find all unique product IDs available in either store combined.

🎯 Goal: Build a small program that uses np.union1d() to find the union of two numpy arrays representing product IDs.

📋 What You'll Learn

Create two numpy arrays with exact product ID values

Create a variable to hold the union result

Use np.union1d() to find the union of the two arrays

Print the union array

💡 Why This Matters

🌍 Real World

Finding the combined list of unique items from multiple sources is common in inventory management, customer data merging, and survey analysis.

💼 Career

Data scientists often need to combine datasets and find unique entries efficiently using numpy functions like <code>np.union1d()</code>.

1

Create two numpy arrays with product IDs

Import numpy as np and create two numpy arrays called store1_products and store2_products with these exact values: [101, 102, 103, 104] and [103, 104, 105, 106] respectively.

NumPy

import numpy as np
# Create store1_products and store2_products arrays
# Your code here

Need a hint?

Use np.array() to create numpy arrays with the exact product IDs.

2

Create a variable to hold the union result

Create a variable called all_products that will store the union of store1_products and store2_products.

NumPy

import numpy as np
store1_products = np.array([101, 102, 103, 104])
store2_products = np.array([103, 104, 105, 106])
# Create all_products variable
# Your code here

Need a hint?

Just create the variable all_products and set it to None for now.

3

Use np.union1d() to find the union of the two arrays

Assign to all_products the result of np.union1d(store1_products, store2_products) to find the union of the two arrays.

NumPy

import numpy as np
store1_products = np.array([101, 102, 103, 104])
store2_products = np.array([103, 104, 105, 106])
all_products = None
# Use np.union1d() to find the union
# Your code here

Need a hint?

Use np.union1d() with the two arrays as arguments and assign the result to all_products.

4

Print the union array

Print the variable all_products to display the union of product IDs.

NumPy

import numpy as np
store1_products = np.array([101, 102, 103, 104])
store2_products = np.array([103, 104, 105, 106])
all_products = np.union1d(store1_products, store2_products)
# Print all_products
# Your code here

Need a hint?

Use print(all_products) to show the union array.