Individual subplot customization in Matplotlib - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a figure with 2 subplots using matplotlib.

Matplotlib

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

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

A1

B2

C3

D4

Attempts:

3 left

💡 Hint

Common Mistakes

Using 1 instead of 2 for the number of subplots.

Confusing rows and columns in plt.subplots.

The plt.subplots function creates a figure and a set of subplots. Here, 1, 2 means 1 row and 2 columns, so 2 subplots.

2fill in blank

medium

Complete the code to set the title of the first subplot to 'First Plot'.

Matplotlib

import matplotlib.pyplot as plt
fig, axs = plt.subplots(1, 2)
axs[[1]].set_title('First Plot')
plt.show()

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

A0

B-1

C1

D2

Attempts:

3 left

💡 Hint

Common Mistakes

Using 1 instead of 0 for the first subplot index.

Using negative indices incorrectly.

Subplots are indexed starting at 0. The first subplot is axs[0].

3fill in blank

hard

Fix the error in the code to set the x-label of the second subplot to 'X Axis'.

Matplotlib

import matplotlib.pyplot as plt
fig, axs = plt.subplots(1, 2)
axs.[1](1).set_xlabel('X Axis')
plt.show()

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

Aplot

Bindex

Csubplot

D__getitem__

Attempts:

3 left

💡 Hint

Common Mistakes

Trying to call axs.subplot(1) which is not valid.

Using axs.plot(1) which is for plotting, not indexing.

To access the second subplot, use axs[1]. The __getitem__ method is called when using square brackets.

4fill in blank

hard

Fill both blanks to set the y-label of the first subplot to 'Y Axis' and change its background color to light gray.

Matplotlib

import matplotlib.pyplot as plt
fig, axs = plt.subplots(1, 2)
axs[[1]].set_ylabel('Y Axis')
axs[[2]].set_facecolor('lightgray')
plt.show()

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

A0

B1

C2

D-1

Attempts:

3 left

💡 Hint

Common Mistakes

Using different indices for the two actions.

Using invalid indices like 2 which is out of range.

Both actions target the first subplot, which is at index 0.

5fill in blank

hard

Fill both blanks to create a dictionary comprehension that maps each word to its length only if the length is greater than 3.

Matplotlib

words = ['data', 'science', 'is', 'fun']
lengths = {word: [1] for word in words if len(word) [2] 3}

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

A:

Blen(word)

C>

D<

Attempts:

3 left

💡 Hint

Common Mistakes

Using comma instead of colon between key and value.

Using wrong comparison operator in the condition.

Using word instead of len(word) as value.

The dictionary comprehension syntax is {key: value for item in iterable if condition}. Here, key is word, value is len(word), and the condition is len(word) > 3.