Matrix transpose operations in NumPy - Mini Project: Build & Apply

Matrix transpose operations

📖 Scenario: You work with data tables in a spreadsheet. Sometimes you need to flip rows and columns to better analyze the data. This flipping is called a matrix transpose in math and programming.

🎯 Goal: You will create a matrix using numpy, then find its transpose. The transpose flips the matrix so rows become columns and columns become rows.

📋 What You'll Learn

Create a 2D numpy array with exact values

Create a variable to hold the transpose of the matrix

Use numpy's transpose operation

Print the original matrix and its transpose

💡 Why This Matters

🌍 Real World

Matrix transposes are used in data analysis, image processing, and machine learning to rearrange data for better understanding or computation.

💼 Career

Data scientists and analysts often transpose data tables to prepare datasets for modeling or visualization.

1

Create the original matrix

Import numpy as np and create a 2D numpy array called matrix with these exact values: [[1, 2, 3], [4, 5, 6]].

NumPy

# Import numpy as np and create the matrix
# Your code here

Need a hint?

Use np.array() to create the matrix.

2

Create a variable for the transpose

Create a variable called transpose_matrix to hold the transpose of matrix using np.transpose().

NumPy

import numpy as np
matrix = np.array([[1, 2, 3], [4, 5, 6]])
# Create transpose_matrix using np.transpose(matrix)
# Your code here

Need a hint?

Use np.transpose(matrix) to get the transpose.

3

Print the original matrix

Write a print() statement to display the original matrix.

NumPy

import numpy as np
matrix = np.array([[1, 2, 3], [4, 5, 6]])
transpose_matrix = np.transpose(matrix)
# Print the original matrix
# Your code here

Need a hint?

Use print(matrix) to show the original matrix.

4

Print the transpose matrix

Write a print() statement to display the transpose_matrix.

NumPy

import numpy as np
matrix = np.array([[1, 2, 3], [4, 5, 6]])
transpose_matrix = np.transpose(matrix)
print(matrix)
# Print the transpose_matrix
# Your code here

Need a hint?

Use print(transpose_matrix) to show the flipped matrix.