Why image handling matters in Matplotlib - See It in Action

Why Image Handling Matters

📖 Scenario: Imagine you work at a company that collects photos from users to analyze patterns. Before analyzing, you need to load and display these images correctly to understand their quality and content.

🎯 Goal: You will create a small program that loads an image from a file, sets a configuration for display size, shows the image using matplotlib, and prints the image's dimensions. This helps you understand why handling images properly is important before analysis.

📋 What You'll Learn

Use matplotlib.pyplot to display images

Load an image file into a variable

Set a display size configuration variable

Show the image with the configured size

Print the image dimensions (height and width)

💡 Why This Matters

🌍 Real World

Handling images correctly is important in many fields like medical imaging, social media, and security to ensure accurate analysis and presentation.

💼 Career

Data scientists often need to preprocess and visualize images before applying machine learning models or reporting results.

1

Load the image file

Import matplotlib.pyplot as plt and load the image file named 'sample_image.png' into a variable called image using plt.imread().

Matplotlib

# Import matplotlib.pyplot as plt and load 'sample_image.png' into variable image
# Your code here

Need a hint?

Use plt.imread('sample_image.png') to read the image file.

2

Set the display size configuration

Create a variable called display_size and set it to the tuple (6, 4) to configure the figure size for displaying the image.

Matplotlib

import matplotlib.pyplot as plt
image = plt.imread('sample_image.png')
# Create display_size variable as (6, 4)
# Your code here

Need a hint?

Set display_size to (6, 4) to control the image display size.

3

Display the image with the configured size

Use plt.figure(figsize=display_size) to set the figure size, then display the image stored in image using plt.imshow(image). Finally, call plt.axis('off') to hide the axes.

Matplotlib

import matplotlib.pyplot as plt
image = plt.imread('sample_image.png')
display_size = (6, 4)
# Set figure size and display the image without axes
# Your code here

Need a hint?

Use plt.figure(figsize=display_size) before plt.imshow(image) to control size.

4

Print the image dimensions

Print the height and width of the image using print(f"Image dimensions: {image.shape[0]} x {image.shape[1]}").

Matplotlib

import matplotlib.pyplot as plt
image = plt.imread('sample_image.png')
display_size = (6, 4)
plt.figure(figsize=display_size)
plt.imshow(image)
plt.axis('off')
plt.show()
# Print image height and width
# Your code here

Need a hint?

Use image.shape to get height and width.