Image colormaps in Matplotlib - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to display an image with the 'viridis' colormap.

Matplotlib

import matplotlib.pyplot as plt
import numpy as np

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

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

A'cool'

B'viridis'

C'hot'

D'gray'

Attempts:

3 left

💡 Hint

Common Mistakes

Forgetting to put the colormap name in quotes.

Using a colormap name that does not exist.

The 'viridis' colormap is a popular default colormap in matplotlib for displaying images.

2fill in blank

medium

Complete the code to display the image with the 'hot' colormap.

Matplotlib

plt.imshow(image, cmap=[1])
plt.colorbar()
plt.show()

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

A'hot'

B'spring'

C'cool'

D'winter'

Attempts:

3 left

💡 Hint

Common Mistakes

Using a colormap that does not represent heat.

Not adding quotes around the colormap name.

The 'hot' colormap shows colors from black to red to yellow to white, useful for heat maps.

3fill in blank

hard

Fix the error in the code to correctly apply the 'cividis' colormap.

Matplotlib

plt.imshow(image, cmap=[1])
plt.show()

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

Acividis

Bcividis()

C'cividis'

D['cividis']

Attempts:

3 left

💡 Hint

Common Mistakes

Using the colormap name without quotes.

Trying to call the colormap as a function.

The colormap name must be a string in quotes, not a variable or function call.

4fill in blank

hard

Fill both blanks to create a grayscale image with a colorbar.

Matplotlib

plt.imshow(image, cmap=[1])
plt.[2]()
plt.show()

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

A'gray'

B'viridis'

Ccolorbar

Dshow

Attempts:

3 left

💡 Hint

Common Mistakes

Using the wrong colormap name for grayscale.

Forgetting to add the colorbar function.

Use 'gray' for grayscale colormap and 'colorbar' to add the color scale bar.

5fill in blank

hard

Fill all three blanks to create a heatmap with 'hot' colormap, add a colorbar, and show the plot.

Matplotlib

plt.imshow(image, cmap=[1])
plt.[2]()
plt.[3]()

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

A'hot'

Bcolorbar

Cshow

D'cool'

Attempts:

3 left

💡 Hint

Common Mistakes

Using wrong colormap name.

Forgetting to add colorbar or show the plot.

Use 'hot' colormap, then add colorbar and finally show the plot.