Donut chart variation in Matplotlib - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a basic pie chart using matplotlib.

Matplotlib

import matplotlib.pyplot as plt

sizes = [30, 20, 50]
labels = ['A', 'B', 'C']

plt.pie(sizes, labels=[1])
plt.show()

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

Asizes

Bcolors

Clabels

Dexplode

Attempts:

3 left

💡 Hint

Common Mistakes

Using sizes instead of labels for the labels parameter.

Passing a variable that does not exist.

The labels parameter is used to add labels to each slice of the pie chart.

2fill in blank

medium

Complete the code to add a white circle in the center to create a donut chart effect.

Matplotlib

import matplotlib.pyplot as plt

sizes = [40, 35, 25]
labels = ['X', 'Y', 'Z']

plt.pie(sizes, labels=labels)
centre_circle = plt.Circle((0,0), [1], fc='white')
fig = plt.gcf()
fig.gca().add_artist(centre_circle)
plt.show()

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

A1.5

B0.5

C0

D2

Attempts:

3 left

💡 Hint

Common Mistakes

Using a radius equal or greater than 1 which covers the whole pie.

Using zero radius which makes no hole.

The radius of the white circle should be less than 1 to create the donut hole effect. 0.5 is a common choice.

3fill in blank

hard

Fix the error in the code to correctly display the donut chart with percentage labels.

Matplotlib

import matplotlib.pyplot as plt

sizes = [25, 50, 25]
labels = ['Red', 'Green', 'Blue']

plt.pie(sizes, labels=labels, autopct=[1])
centre_circle = plt.Circle((0,0), 0.6, fc='white')
fig = plt.gcf()
fig.gca().add_artist(centre_circle)
plt.show()

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

A'%1.1f%%'

BNone

C'%.1f%'

D'%1.f%%'

Attempts:

3 left

💡 Hint

Common Mistakes

Using '%1.f%%' which misses the decimal place.

Using '%.1f%' which misses the second percent sign.

The autopct string '%1.1f%%' formats the percentage with one decimal place and a percent sign.

4fill in blank

hard

Fill both blanks to create a donut chart with exploded slices and a shadow effect.

Matplotlib

import matplotlib.pyplot as plt

sizes = [15, 30, 55]
labels = ['Apple', 'Banana', 'Cherry']
explode = ([1], 0, 0)

plt.pie(sizes, labels=labels, explode=explode, shadow=[2])
centre_circle = plt.Circle((0,0), 0.7, fc='white')
fig = plt.gcf()
fig.gca().add_artist(centre_circle)
plt.show()

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

A0.1

BTrue

CFalse

D0.5

Attempts:

3 left

💡 Hint

Common Mistakes

Using 0 instead of a positive float for explode.

Setting shadow to a string instead of a boolean.

Exploding the first slice by 0.1 separates it slightly. Setting shadow to True adds a shadow effect.

5fill in blank

hard

Fill all three blanks to create a donut chart with custom colors, start angle, and percentage format.

Matplotlib

import matplotlib.pyplot as plt

sizes = [20, 40, 40]
labels = ['East', 'West', 'North']
colors = ['#ff9999', '#66b3ff', [1]]

plt.pie(sizes, labels=labels, colors=colors, startangle=[2], autopct=[3])
centre_circle = plt.Circle((0,0), 0.5, fc='white')
fig = plt.gcf()
fig.gca().add_artist(centre_circle)
plt.show()

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

A'#99ff99'

B90

C'%1.0f%%'

D'#333333'

Attempts:

3 left

💡 Hint

Common Mistakes

Using a color string without quotes.

Using a start angle as a string instead of an integer.

Using autopct without the double percent signs.

The third color is a light green '#99ff99'. The start angle 90 rotates the chart. The autopct '%1.0f%%' shows percentages with no decimals.