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Matplotlibdata~15 mins

Displaying images with imshow in Matplotlib - Mini Project: Build & Apply

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Displaying Images with imshow
📖 Scenario: You work as a data analyst and need to visualize image data to understand it better. Visualizing images helps you see patterns and details that numbers alone can't show.
🎯 Goal: You will create a simple image using numbers and display it using matplotlib's imshow function.
📋 What You'll Learn
Create a 2D list representing a grayscale image
Set a color map configuration variable
Use imshow to display the image with the chosen color map
Show the image using plt.show()
💡 Why This Matters
🌍 Real World
Displaying images is important in fields like medical imaging, satellite data analysis, and computer vision to visually inspect data.
💼 Career
Data scientists often need to visualize image data to explore patterns and communicate findings effectively.
Progress0 / 4 steps
1
Create a 2D list representing a grayscale image
Create a variable called image_data and assign it a 2D list with these exact values: [[0, 50, 100], [150, 200, 250], [255, 125, 75]]
Matplotlib
Need a hint?

Think of image_data as a small grid of pixel brightness values from 0 (black) to 255 (white).

2
Set the color map configuration
Create a variable called color_map and set it to the string 'gray' to display the image in grayscale.
Matplotlib
Need a hint?

The color_map tells imshow how to color the image. 'gray' means black and white.

3
Display the image using imshow
Import matplotlib.pyplot as plt. Then use plt.imshow with image_data and cmap=color_map to display the image.
Matplotlib
Need a hint?

Remember to import matplotlib.pyplot as plt before using imshow.

4
Show the image
Add a line to call plt.show() to display the image window.
Matplotlib
Need a hint?

plt.show() opens a window with the image. Without it, the image won't appear.