np.unravel_index() for multi-dim positions in NumPy - Mini Project: Build & Apply

Using np.unravel_index() to Find Multi-Dimensional Positions

📖 Scenario: Imagine you have a flattened list of seats in a theater, but you want to find the exact row and column of a seat given its flat position number.

🎯 Goal: You will learn how to use np.unravel_index() to convert flat indices into multi-dimensional positions in an array.

📋 What You'll Learn

Create a NumPy array shape variable

Create a flat index variable

Use np.unravel_index() with the flat index and shape

Print the multi-dimensional position

💡 Why This Matters

🌍 Real World

This technique helps find exact positions in grids, images, or tables when you only have a single flat index.

💼 Career

Data scientists often need to convert between flat and multi-dimensional indices when working with arrays, images, or matrices.

1

Create the shape of the theater seating

Create a variable called theater_shape and set it to a tuple with values (10, 15) representing 10 rows and 15 columns.

NumPy

# Create the shape of the theater seating
# Your code here

Need a hint?

Use parentheses to create a tuple with two numbers: 10 and 15.

2

Set the flat seat index

Create a variable called flat_seat_index and set it to 37, representing the seat's position in a flattened list.

NumPy

theater_shape = (10, 15)
# Set the flat seat index
# Your code here

Need a hint?

Just assign the number 37 to the variable flat_seat_index.

3

Use np.unravel_index() to find the seat position

Import NumPy as np. Then create a variable called seat_position and set it to the result of np.unravel_index(flat_seat_index, theater_shape).

NumPy

theater_shape = (10, 15)
flat_seat_index = 37
# Import numpy and find the multi-dimensional seat position
# Your code here

Need a hint?

Use import numpy as np and then call np.unravel_index() with the flat index and shape.

4

Print the multi-dimensional seat position

Write a print() statement to display the value of seat_position.

NumPy

import numpy as np
theater_shape = (10, 15)
flat_seat_index = 37
seat_position = np.unravel_index(flat_seat_index, theater_shape)
# Print the seat position
# Your code here

Need a hint?

Use print(seat_position) to show the row and column.