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Stacked Bar Charts

Stacked bar charts allow comparison of multiple categories within each x-axis group. For example, rather than showing only the total GDP of each country, they can illustrate the contribution of individual economic sectors to the total.


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import matplotlib.pyplot as plt
import numpy as np
countries = ['USA', 'China', 'Japan']
primary_sector = np.array([1.4, 4.8, 0.4])
secondary_sector = np.array([11.3, 6.2, 0.8])
tertiary_sector = np.array([14.2, 8.4, 3.2])
# Calling the bar() function multiple times for each category (sector)
plt.bar(countries, primary_sector)
plt.bar(countries, secondary_sector, bottom=primary_sector)
plt.bar(countries, tertiary_sector, bottom=primary_sector + secondary_sector)
plt.show()

To create stacked bars, the bar() function is called multiple times—once for each sector. In each call, the same countries list is used for the x-axis, and the bottom parameter ensures that each new segment is stacked on top of the previous one.

Study More

The bottom parameter specifies the y coordinate(s) of the bottom side(s) of the bars. Here is the bar() documentation.

Task

Swipe to start coding

Use the correct function for creating bar charts.
Plot the lower bars for yes_answers.
Plot the bars for no_answers on top of the bars for yes_answers with specifying the correct keyword argument.

Solution

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Section 2. Chapter 5

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Stacked Bar Charts


              1234567891011
            
import matplotlib.pyplot as plt
import numpy as np
countries = ['USA', 'China', 'Japan']
primary_sector = np.array([1.4, 4.8, 0.4])
secondary_sector = np.array([11.3, 6.2, 0.8])
tertiary_sector = np.array([14.2, 8.4, 3.2])
# Calling the bar() function multiple times for each category (sector)
plt.bar(countries, primary_sector)
plt.bar(countries, secondary_sector, bottom=primary_sector)
plt.bar(countries, tertiary_sector, bottom=primary_sector + secondary_sector)
plt.show()

Study More

The bottom parameter specifies the y coordinate(s) of the bottom side(s) of the bars. Here is the bar() documentation.

Task

Swipe to start coding

Use the correct function for creating bar charts.
Plot the lower bars for yes_answers.
Plot the bars for no_answers on top of the bars for yes_answers with specifying the correct keyword argument.

Solution

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Thanks for your feedback!

Section 2. Chapter 5

Switch to desktop for real-world practiceContinue from where you are using one of the options below