Why multiple plots per figure matter in Matplotlib - Test Your Understanding

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a figure with two subplots side by side.

Matplotlib

import matplotlib.pyplot as plt
fig, axs = plt.subplots(1, [1])
plt.show()

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

A4

B1

C3

D2

Attempts:

3 left

💡 Hint

Common Mistakes

Using 1 instead of 2 will create only one plot.

Confusing rows and columns.

The code creates a figure with 1 row and 2 columns of subplots, so 2 subplots side by side.

2fill in blank

medium

Complete the code to plot data on the first subplot.

Matplotlib

import matplotlib.pyplot as plt
fig, axs = plt.subplots(1, 2)
axs[[1]].plot([1, 2, 3], [4, 5, 6])
plt.show()

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

A0

B1

C2

D-1

Attempts:

3 left

💡 Hint

Common Mistakes

Using 1 instead of 0 causes an error or plots on the second subplot.

Using 2 causes an index error.

Subplots are indexed starting at 0, so the first subplot is axs[0].

3fill in blank

hard

Fix the error in the code to plot on both subplots.

Matplotlib

import matplotlib.pyplot as plt
fig, axs = plt.subplots(1, 2)
[1].plot([1, 2, 3], [4, 5, 6])
axs[1].plot([1, 2, 3], [6, 5, 4])
plt.show()

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

Aaxs[1]

Bplt

Caxs[0]

Dfig

Attempts:

3 left

💡 Hint

Common Mistakes

Trying to call plot directly on axs causes an error.

Confusing fig and axs.

axs is an array of subplots, so to plot on the first subplot, use axs[0].

4fill in blank

hard

Fill both blanks to create a figure with 2 rows and 1 column and plot on the second subplot.

Matplotlib

import matplotlib.pyplot as plt
fig, axs = plt.subplots([1], [2])
axs[1].plot([10, 20, 30], [3, 2, 1])
plt.show()

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

A2

B1

C3

D4

Attempts:

3 left

💡 Hint

Common Mistakes

Swapping rows and columns.

Using 1 row and 2 columns instead.

The figure has 2 rows and 1 column, so plt.subplots(2, 1). The second subplot is axs[1].

5fill in blank

hard

Fill all three blanks to create a dictionary comprehension that maps each subplot index to the number of points plotted if the points are more than 2.

Matplotlib

points = [1, 2, 3, 4]
result = {i: len(points) for i in range([1]) if len(points) [2] [3]

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

A3

B>

C2

D4

Attempts:

3 left

💡 Hint

Common Mistakes

Using range(3) excludes the last index.

Using '<' instead of '>' changes the condition.

Using 3 instead of 2 in the condition.

The comprehension iterates over 4 indices (0 to 3). It includes only if len(points) > 2, which is true since len(points) is 4.