Course Content

Ultimate Visualization with Python

1. Matplotlib Introduction

Plotting Applications Why Use Matplotlib?Creating a Canvas Basic Plotting

2. Creating Commonly Used Plots

Line Plot Multiple Line Plots Scatter Plot Bar Chart Stacked Bar Charts Grouped Bar Charts

3. Plots Customization

Adding Title to the Plot Adding Legend Axes Customization Colors and Transparency Customizing Grid Subplots

4. More Statistical Plots

Histogram Box Plot Pie Chart

5. Plotting with Seaborn

Seaborn Introduction Countplot Plots Decoration KDE Plot Joint Plot Pair Plot Heatmap

Bar Chart

A bar chart, also known as a bar graph, is a visual representation where categorical data is displayed using rectangular bars. The height or length of these bars is directly proportional to the values they depict. Without further ado, let’s have a look at the bar chart implementation in matplotlib:


              123456
            
import matplotlib.pyplot as plt
programming_languages = ['Python', 'Java', 'C#', 'C++']
shares = [40, 30, 17, 13]
# Creating a bar chart with separate colors for each bar
plt.bar(programming_languages, shares, color=['blue', 'green', 'red', 'yellow'])
plt.show()

Required Parameters

In this example, we utilize the bar() function from pyplot to create a bar chart. We provide a list of programming language names for the x-axis as the first argument (x) and the respective bar heights representing popularity percentages as the second argument (height).

Optional Parameters

Using the color keyword argument, we speicfy the list of color names. By default, all bars will have a bluish color.

Another important optional parameter is width and stands for the width(s) of the bars, its default value is 0.8. It can either be a single float number, meaning equal width for each bar, or an array of floats, in which each element corresponds to the width of the respective bar. Let’s change this parameter for our example:


              123456
            
import matplotlib.pyplot as plt
programming_languages = ['Python', 'Java', 'C#', 'C++']
shares = [40, 30, 17, 13]
# Specify the bars colors and widths
plt.bar(programming_languages, shares, color=['blue', 'green', 'red', 'yellow'], width=[0.9, 0.7, 0.5, 0.3])
plt.show()

We can clearly see that the width decreases from left to right, that’s exactly what we expected.

As with other plots, you can always refer to the documentation for a quick lookup of the bar() function syntax and all of its parameters.

Task

Swipe to show code editor

Use the correct function to create a bar chart.
Pass countries and gdp_list in this function in the correct order.
Use the proper keyword argument to specify the width of the bars.
Fill the list for this keyword argument with the following values 0.6, 0.9, 0.45, 0.2 from left to right.

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 4

Bar Chart


              123456
            
import matplotlib.pyplot as plt
programming_languages = ['Python', 'Java', 'C#', 'C++']
shares = [40, 30, 17, 13]
# Creating a bar chart with separate colors for each bar
plt.bar(programming_languages, shares, color=['blue', 'green', 'red', 'yellow'])
plt.show()

Required Parameters

Optional Parameters

Using the color keyword argument, we speicfy the list of color names. By default, all bars will have a bluish color.


              123456
            
import matplotlib.pyplot as plt
programming_languages = ['Python', 'Java', 'C#', 'C++']
shares = [40, 30, 17, 13]
# Specify the bars colors and widths
plt.bar(programming_languages, shares, color=['blue', 'green', 'red', 'yellow'], width=[0.9, 0.7, 0.5, 0.3])
plt.show()

We can clearly see that the width decreases from left to right, that’s exactly what we expected.

As with other plots, you can always refer to the documentation for a quick lookup of the bar() function syntax and all of its parameters.

Task

Swipe to show code editor

Use the correct function to create a bar chart.
Pass countries and gdp_list in this function in the correct order.
Use the proper keyword argument to specify the width of the bars.
Fill the list for this keyword argument with the following values 0.6, 0.9, 0.45, 0.2 from left to right.

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 4

Bar Chart


              123456
            
import matplotlib.pyplot as plt
programming_languages = ['Python', 'Java', 'C#', 'C++']
shares = [40, 30, 17, 13]
# Creating a bar chart with separate colors for each bar
plt.bar(programming_languages, shares, color=['blue', 'green', 'red', 'yellow'])
plt.show()

Required Parameters

Optional Parameters

Using the color keyword argument, we speicfy the list of color names. By default, all bars will have a bluish color.


              123456
            
import matplotlib.pyplot as plt
programming_languages = ['Python', 'Java', 'C#', 'C++']
shares = [40, 30, 17, 13]
# Specify the bars colors and widths
plt.bar(programming_languages, shares, color=['blue', 'green', 'red', 'yellow'], width=[0.9, 0.7, 0.5, 0.3])
plt.show()

We can clearly see that the width decreases from left to right, that’s exactly what we expected.

As with other plots, you can always refer to the documentation for a quick lookup of the bar() function syntax and all of its parameters.

Task

Swipe to show code editor

Use the correct function to create a bar chart.
Pass countries and gdp_list in this function in the correct order.
Use the proper keyword argument to specify the width of the bars.
Fill the list for this keyword argument with the following values 0.6, 0.9, 0.45, 0.2 from left to right.

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

Everything was clear?

Thanks for your feedback!


              123456
            
import matplotlib.pyplot as plt
programming_languages = ['Python', 'Java', 'C#', 'C++']
shares = [40, 30, 17, 13]
# Creating a bar chart with separate colors for each bar
plt.bar(programming_languages, shares, color=['blue', 'green', 'red', 'yellow'])
plt.show()

Required Parameters

Optional Parameters

Using the color keyword argument, we speicfy the list of color names. By default, all bars will have a bluish color.


              123456
            
import matplotlib.pyplot as plt
programming_languages = ['Python', 'Java', 'C#', 'C++']
shares = [40, 30, 17, 13]
# Specify the bars colors and widths
plt.bar(programming_languages, shares, color=['blue', 'green', 'red', 'yellow'], width=[0.9, 0.7, 0.5, 0.3])
plt.show()

We can clearly see that the width decreases from left to right, that’s exactly what we expected.

As with other plots, you can always refer to the documentation for a quick lookup of the bar() function syntax and all of its parameters.

Task

Swipe to show code editor

Use the correct function to create a bar chart.
Pass countries and gdp_list in this function in the correct order.
Use the proper keyword argument to specify the width of the bars.
Fill the list for this keyword argument with the following values 0.6, 0.9, 0.45, 0.2 from left to right.

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

Section 2. Chapter 4

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