Matplotlib is the standard python library for creating visualizations in Python. Pyplot is a module of Matplotlib library which is used to plot graphs and charts and also make changes in them. In this article, we are going to see how to draw a horizontal bar chart with Matplotlib.

Creating a vertical bar chart

Approach:

• Importing matplotlib.pyplot as plt
• Creating list x for discrete values on x-axis
• Creating list y  consisting only numeric data for discrete values on y-axis
• Calling plt.bar() function with parameters x,y as plt.bar(x,y)
• Setting x_label() and y_label()
• Setting title() for our bar chart
• Calling plt.show() for visualizing our chart

Below is the implementation:

import matplotlib.pyplot as plt

x=['one', 'two', 'three', 'four', 'five']

# giving the values against
# each value at x axis
y=[5, 24, 35, 67, 12] 
plt.bar(x, y)

# setting x-label as pen sold
plt.xlabel("pen sold") 

# setting y_label as price
plt.ylabel("price")   
plt.title(" Vertical bar graph")
plt.show()

Output:

Creating a horizontal bar chart

Approach:

• Importing matplotlib.pyplot as plt
• Creating list y   for discrete values on y-axis
• Creating list x  consisting only numeric data for discrete values on x-axis
• Calling plt.barh() function with parameters y,x as plt.barh(y,x)
• Setting x_label() and y_label()
• Setting title() for our bar chart
• Calling plt.show() for visualizing our chart

Below is the implementation:

import matplotlib.pyplot as plt
y=['one', 'two', 'three', 'four', 'five']

# getting values against each value of y
x=[5,24,35,67,12] 
plt.barh(y, x)

# setting label of y-axis
plt.ylabel("pen sold")

# setting label of x-axis
plt.xlabel("price") 
plt.title("Horizontal bar graph")
plt.show()

Output: