Simple Bar Chart

Welcome to the second section! You've done great work so far! In this section, we will consider another common type of chart - this is a bar chart.

The concept for creating a bar chart is the same as for line plot: initialize Axes and Figure objects using the .subplots() method and then apply .bar() function to Axes object. The first argument (x) of the function is the x coordinates of the bar, the second (height) - the heights of the bars. For example, let's visualize some abstract subject grades.


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# Import library
import matplotlib.pyplot as plt

# Create data for chart
subjects = ['Math', 'Literature', 'History', 'Physics', 'Arts']
grades = [95, 76, 83, 92, 68]

# Create Axes and Figure objects
fig, ax = plt.subplots()

# Initialize bar chart
ax.bar(subjects, grades)

# Display the plot
plt.show()

Everything was clear?

Thanks for your feedback!

Section 2. Chapter 1

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Course Content

Visualization in Python with matplotlib

Simple Bar Chart

Welcome to the second section! You've done great work so far! In this section, we will consider another common type of chart - this is a bar chart.


              123456789101112131415
            
# Import library
import matplotlib.pyplot as plt

# Create data for chart
subjects = ['Math', 'Literature', 'History', 'Physics', 'Arts']
grades = [95, 76, 83, 92, 68]

# Create Axes and Figure objects
fig, ax = plt.subplots()

# Initialize bar chart
ax.bar(subjects, grades)

# Display the plot
plt.show()

Everything was clear?

Thanks for your feedback!

Section 2. Chapter 1