Image interpolation methods in Matplotlib - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to display an image using nearest neighbor interpolation.

Matplotlib

import matplotlib.pyplot as plt
import numpy as np

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

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

Abicubic

Bbilinear

Cnearest

Dspline16

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'bilinear' or 'bicubic' which smooth the image instead of nearest neighbor.

Misspelling the interpolation method name.

The 'nearest' interpolation method displays the image by picking the nearest pixel value without smoothing.

2fill in blank

medium

Complete the code to display an image using bilinear interpolation.

Matplotlib

import matplotlib.pyplot as plt
import numpy as np

image = np.random.rand(10, 10)
plt.imshow(image, interpolation='[1]')
plt.show()

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

Abilinear

Bnone

Channing

Dnearest

Attempts:

3 left

💡 Hint

Common Mistakes

Choosing 'nearest' which does not smooth the image.

Using 'none' which disables interpolation.

Bilinear interpolation smooths the image by averaging the nearest 2x2 pixels.

3fill in blank

hard

Fix the error in the code to use bicubic interpolation correctly.

Matplotlib

import matplotlib.pyplot as plt
import numpy as np

image = np.random.rand(8, 8)
plt.imshow(image, interpolation=[1])
plt.show()

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

A'bilinear'

Bbicubic

C'nearest'

D'bicubic'

Attempts:

3 left

💡 Hint

Common Mistakes

Not using quotes around the interpolation method name.

Using an unsupported interpolation method.

The interpolation parameter must be a string in quotes, so 'bicubic' is correct.

4fill in blank

hard

Fill both blanks to create a dictionary of images with their interpolation methods.

Matplotlib

images = {'img1': np.random.rand(4, 4), 'img2': np.random.rand(6, 6)}
methods = ['[1]', '[2]']
image_dict = {k: (v, m) for k, v, m in zip(images.keys(), images.values(), methods)}

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

Anearest

Bbilinear

Cbicubic

Dnone

Attempts:

3 left

💡 Hint

Common Mistakes

Using unsupported interpolation method names.

Mixing up the order of methods.

This creates a dictionary pairing each image with its interpolation method: 'nearest' for 'img1' and 'bilinear' for 'img2'.

5fill in blank

hard

Fill all three blanks to create a dictionary comprehension filtering images with interpolation 'nearest' and size > 5.

Matplotlib

images = {'a': np.random.rand(3, 3), 'b': np.random.rand(7, 7), 'c': np.random.rand(10, 10)}
methods = {'a': '[1]', 'b': '[2]', 'c': '[3]'}
filtered = {k: v for k, v in images.items() if methods[k] == 'nearest' and v.shape[0] > 5}

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

Anearest

Bbilinear

Cbicubic

Dnone

Attempts:

3 left

💡 Hint

Common Mistakes

Assigning 'nearest' to all images.

Not checking image size correctly.

Only images 'b' and 'c' have interpolation 'nearest' and size > 5. 'b' and 'c' are assigned 'nearest', 'a' is 'bilinear'.