Heatmap with plt.imshow in Matplotlib - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to display the heatmap using plt.imshow.

Matplotlib

import matplotlib.pyplot as plt
import numpy as np

data = np.array([[1, 2], [3, 4]])
plt.[1](data)
plt.show()

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

Ascatter

Bplot

Cimshow

Dbar

Attempts:

3 left

💡 Hint

Common Mistakes

Using plt.plot() which is for line plots.

Using plt.scatter() which is for scatter plots.

plt.imshow() is used to display data as an image, which is perfect for heatmaps.

2fill in blank

medium

Complete the code to add a colorbar to the heatmap.

Matplotlib

import matplotlib.pyplot as plt
import numpy as np

data = np.array([[5, 10], [15, 20]])
plt.imshow(data)
plt.[1]()
plt.show()

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

Alegend

Bcolorbar

Ctitle

Dxlabel

Attempts:

3 left

💡 Hint

Common Mistakes

Using plt.legend() which is for plot legends.

Trying to use plt.title() to add color scale.

plt.colorbar() adds a color scale bar to the heatmap to show value mapping.

3fill in blank

hard

Fix the error in the code to correctly display the heatmap with a 'hot' colormap.

Matplotlib

import matplotlib.pyplot as plt
import numpy as np

data = np.array([[7, 8], [9, 10]])
plt.imshow(data, cmap=[1])
plt.colorbar()
plt.show()

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

A'cool'

B'gray'

C'spring'

D'hot'

Attempts:

3 left

💡 Hint

Common Mistakes

Forgetting to put the colormap name in quotes.

Using a colormap that doesn't highlight heat well.

The 'hot' colormap shows colors from black to red to yellow to white, good for heatmaps.

4fill in blank

hard

Fill both blanks to create a heatmap with data normalized between 0 and 1 and use the 'viridis' colormap.

Matplotlib

import matplotlib.pyplot as plt
import numpy as np

data = np.array([[10, 20], [30, 40]])
norm_data = data / [1]
plt.imshow(norm_data, cmap=[2])
plt.colorbar()
plt.show()

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

A40

B30

C'viridis'

D'plasma'

Attempts:

3 left

💡 Hint

Common Mistakes

Dividing by a wrong number that is not the max value.

Using a colormap name without quotes.

Dividing by 40 normalizes data to max 1; 'viridis' is a popular colormap for heatmaps.

5fill in blank

hard

Fill all three blanks to create a heatmap from a 3x3 matrix, set interpolation to 'nearest', and add a title 'My Heatmap'.

Matplotlib

import matplotlib.pyplot as plt
import numpy as np

data = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
plt.imshow(data, interpolation=[1], cmap=[2])
plt.colorbar()
plt.title([3])
plt.show()

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

A'bilinear'

B'nearest'

C'viridis'

D'My Heatmap'

Attempts:

3 left

💡 Hint

Common Mistakes

Using interpolation values without quotes.

Forgetting quotes around the title string.

Interpolation 'nearest' shows sharp blocks; 'viridis' is a good colormap; title is a string.