Image extent and aspect ratio in Matplotlib - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to display an image using matplotlib's imshow function.

Matplotlib

import matplotlib.pyplot as plt
import numpy as np

image = np.random.rand(5,5)
plt.imshow(image, extent=[1])
plt.show()

Drag options to blanks, or click blank then click option'

A[1, 5, 1, 5]

B[0, 5, 0, 5]

C[0, 1, 0, 1]

D[0, 10, 0, 10]

Attempts:

3 left

💡 Hint

Common Mistakes

Using extent values that don't match the image size, causing distortion.

Forgetting that extent expects [xmin, xmax, ymin, ymax].

The extent parameter defines the bounding box in data coordinates. Here, the image is 5x5, so extent [0, 5, 0, 5] fits the image exactly.

2fill in blank

medium

Complete the code to set the aspect ratio of the image to 'equal' so pixels are square.

Matplotlib

import matplotlib.pyplot as plt
import numpy as np

image = np.random.rand(5,10)
plt.imshow(image, extent=[0, 10, 0, 5])
plt.gca().set_aspect([1])
plt.show()

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A'equal'

B'auto'

C'square'

D'free'

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'auto' which lets matplotlib stretch the image to fill the axes.

Using invalid aspect values like 'square' or 'free'.

Setting aspect to 'equal' makes sure the x and y units are the same length, so pixels appear square.

3fill in blank

hard

Fix the error in the code to correctly display the image with the specified extent and aspect ratio.

Matplotlib

import matplotlib.pyplot as plt
import numpy as np

image = np.random.rand(3,6)
plt.imshow(image, extent=[0, 6, 0, 3])
plt.gca().set_aspect([1])
plt.show()

Drag options to blanks, or click blank then click option'

A'none'

B'auto'

C'equal'

D1.0

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'none' which is not a valid aspect value.

Using 'auto' which stretches the image.

Setting aspect to 1.0 forces equal scaling of x and y axes, making pixels square. This is a numeric alternative to 'equal'.

4fill in blank

hard

Fill both blanks to create a dictionary comprehension that maps words to their lengths only if the length is greater than 3.

Matplotlib

words = ['data', 'science', 'ai', 'ml', 'python']
lengths = {word: [1] for word in words if [2] }

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Alen(word)

Blen(word) > 3

Cword

Dlen(word) < 3

Attempts:

3 left

💡 Hint

Common Mistakes

Using the word itself as the value instead of its length.

Using the wrong condition like length less than 3.

The dictionary comprehension assigns each word to its length (len(word)) only if the length is greater than 3 (len(word) > 3).

5fill in blank

hard

Fill all three blanks to create a dictionary comprehension that maps uppercase words to their lengths only if length is greater than 2.

Matplotlib

words = ['cat', 'dog', 'a', 'elephant']
[1] = { [2]: [3] for word in words if len(word) > 2 }
print([1])

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Alengths

Bword.upper()

Clen(word)

Dwords

Attempts:

3 left

💡 Hint

Common Mistakes

Using the wrong variable name or missing the assignment.

Using the word itself instead of uppercase for keys.

Using the word instead of length for values.

The dictionary comprehension creates a dictionary named 'lengths' mapping each word in uppercase (word.upper()) to its length (len(word)) for words longer than 2 characters.