np.intersect1d() for intersection in NumPy - Mini Project: Build & Apply

Find Common Elements Using np.intersect1d()

📖 Scenario: Imagine you have two lists of favorite fruits from two friends. You want to find which fruits both friends like.

🎯 Goal: Build a small program that finds the common fruits between two lists using np.intersect1d().

📋 What You'll Learn

Create two numpy arrays with exact fruit names

Use a variable to store the common fruits

Use np.intersect1d() to find the intersection

Print the common fruits array

💡 Why This Matters

🌍 Real World

Finding common items between lists is useful in surveys, recommendations, and data comparison tasks.

💼 Career

Data scientists often need to compare datasets to find overlaps or shared features.

1

Create two numpy arrays of fruits

Import numpy as np and create two numpy arrays called fruits1 and fruits2 with these exact values: ['apple', 'banana', 'cherry', 'date'] and ['banana', 'date', 'fig', 'grape'] respectively.

NumPy

import numpy as np
# Create numpy arrays fruits1 and fruits2 with the exact fruit names
# Your code here

Need a hint?

Use np.array() to create numpy arrays from lists.

2

Create a variable to store common fruits

Create a variable called common_fruits to hold the common fruits between fruits1 and fruits2. Use np.intersect1d(fruits1, fruits2) to find the intersection.

NumPy

import numpy as np
fruits1 = np.array(['apple', 'banana', 'cherry', 'date'])
fruits2 = np.array(['banana', 'date', 'fig', 'grape'])
# Create common_fruits using np.intersect1d with fruits1 and fruits2
# Your code here

Need a hint?

Use np.intersect1d(array1, array2) to get common elements.

3

Print the common fruits

Write a print() statement to display the common_fruits array.

NumPy

import numpy as np
fruits1 = np.array(['apple', 'banana', 'cherry', 'date'])
fruits2 = np.array(['banana', 'date', 'fig', 'grape'])
common_fruits = np.intersect1d(fruits1, fruits2)
# Print the common_fruits array
# Your code here

Need a hint?

Use print(common_fruits) to show the result.

4

Final check: Display the common fruits clearly

Print a friendly message followed by the common_fruits array to clearly show the fruits both friends like.

NumPy

import numpy as np
fruits1 = np.array(['apple', 'banana', 'cherry', 'date'])
fruits2 = np.array(['banana', 'date', 'fig', 'grape'])
common_fruits = np.intersect1d(fruits1, fruits2)
# Print a message and the common_fruits array
# Your code here

Need a hint?

Use print('Fruits both friends like:', common_fruits) to show a clear message.