Colorbar configuration in Matplotlib - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to add a colorbar to the plot.

Matplotlib

import matplotlib.pyplot as plt
import numpy as np

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

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

Atitle

Blegend

Cxlabel

Dcolorbar

Attempts:

3 left

💡 Hint

Common Mistakes

Using plt.legend() instead of plt.colorbar()

Trying to add xlabel instead of colorbar

The colorbar() function adds a colorbar to the current plot, which shows the mapping of colors to data values.

2fill in blank

medium

Complete the code to set the colorbar orientation to horizontal.

Matplotlib

import matplotlib.pyplot as plt
import numpy as np

img = np.random.rand(10,10)
im = plt.imshow(img)
plt.colorbar(im, orientation=[1])
plt.show()

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

A'horizontal'

B'vertical'

C'sideways'

D'diagonal'

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'vertical' which is the default

Using invalid strings like 'sideways'

The orientation parameter controls the direction of the colorbar. Use 'horizontal' to make it horizontal.

3fill in blank

hard

Fix the error in the code to correctly link the colorbar to the image.

Matplotlib

import matplotlib.pyplot as plt
import numpy as np

img = np.random.rand(10,10)
im = plt.imshow(img)
plt.colorbar([1])
plt.show()

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

Aim

Bimg

Cplt

Dnp

Attempts:

3 left

💡 Hint

Common Mistakes

Passing the data array instead of the image object

Passing the module names like plt or np

The colorbar needs the image object returned by imshow(), which is stored in im.

4fill in blank

hard

Fill both blanks to create a colorbar with ticks at 0, 0.5, and 1 and label it 'Intensity'.

Matplotlib

import matplotlib.pyplot as plt
import numpy as np

img = np.random.rand(10,10)
im = plt.imshow(img)
cbar = plt.colorbar(im, ticks=[1])
cbar.set_label([2])
plt.show()

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

A[0, 0.5, 1]

B'Intensity'

C'Value'

D[0, 1]

Attempts:

3 left

💡 Hint

Common Mistakes

Using ticks as a string instead of a list

Forgetting quotes around the label string

The ticks parameter sets the positions of ticks on the colorbar. The set_label() method adds a label to the colorbar.

5fill in blank

hard

Fill all three blanks to create a colorbar with a label 'Temperature', orientation vertical, and shrink it to 0.8 size.

Matplotlib

import matplotlib.pyplot as plt
import numpy as np

img = np.random.rand(10,10)
im = plt.imshow(img)
plt.colorbar(im, orientation=[1], shrink=[2]).set_label([3])
plt.show()

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

A'horizontal'

B0.8

C'Temperature'

D'vertical'

Attempts:

3 left

💡 Hint

Common Mistakes

Using wrong orientation string

Passing shrink as string instead of float

Forgetting quotes around label

Set orientation to 'vertical' for vertical colorbar, shrink to 0.8 to reduce size, and label it with 'Temperature'.