Colorbar formatting 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'

Axlabel

Bcolorbar

Ctitle

Dlegend

Attempts:

3 left

💡 Hint

Common Mistakes

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

Trying to add xlabel or title for 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)
plt.imshow(img)
plt.colorbar(orientation=[1])
plt.show()

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

A'horizontal'

B'sideways'

C'vertical'

D'updown'

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'vertical' when horizontal is needed

Using invalid strings like 'sideways'

The orientation parameter controls the colorbar direction. Use 'horizontal' for a horizontal colorbar.

3fill in blank

hard

Fix the error in the code to set the colorbar label.

Matplotlib

import matplotlib.pyplot as plt
import numpy as np

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

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

AsetLabel

Blabel

Cset_label

Dsettitle

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'label' attribute instead of method

Using camelCase like 'setLabel'

The correct method to set a colorbar label is set_label(). Other options are incorrect or do not exist.

4fill in blank

hard

Fill both blanks to create a colorbar with ticks at 0, 0.5, and 1 and format ticks as percentages.

Matplotlib

import matplotlib.pyplot as plt
import numpy as np
from matplotlib.ticker import PercentFormatter

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

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

A[0, 0.5, 1]

BPercentFormatter

CFuncFormatter

D[0, 1]

Attempts:

3 left

💡 Hint

Common Mistakes

Using wrong tick list like [0,1]

Using FuncFormatter without defining a function

Use ticks=[0, 0.5, 1] to set tick locations. Use PercentFormatter(1) to format ticks as percentages.

5fill in blank

hard

Fill all three blanks to create a horizontal colorbar with label 'Value', ticks at 0, 0.25, 0.5, 0.75, 1, and format ticks as percentages.

Matplotlib

import matplotlib.pyplot as plt
import numpy as np

img = np.random.rand(10,10)
plt.imshow(img)
cbar = plt.colorbar(orientation=[1], ticks=[2])
cbar.[3]('Value')
plt.show()

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

A'vertical'

B[0, 0.25, 0.5, 0.75, 1]

Cset_label

D'horizontal'

Attempts:

3 left

💡 Hint

Common Mistakes

Mixing up orientation strings

Forgetting to set label with set_label()

Set orientation='horizontal' for horizontal colorbar, ticks=[0, 0.25, 0.5, 0.75, 1] for tick positions, and use set_label('Value') to label the colorbar.