In this tutorial, we will use an example to show you how to create a stack plot using plt.stackplot() in matplotlib.

1.Import library

import matplotlib.pyplot as plt 
import numpy as np

2.Prepare data for stack plot

months = ['January', 'February', 'March', 'April', 'May'] 
Organic = [300,400,100,200,100] 
Affiliate = [20,40,20,10,30] 
Promotions = [100,200,100,300,100]
Social = [150,145,300,124,160]

3.Create stack plot

plt.plot([],[],color='green', label='Organic', linewidth=5) 
plt.plot([],[],color='blue', label='Affiliate', linewidth=5) 
plt.plot([],[],color='pink', label='Promotions', linewidth=5)
plt.plot([],[],color='yellow', label='Social', linewidth=5)

plt.stackplot(months, Organic, Affiliate,Promotions, Social, colors=['green','blue','pink','yellow']) 

4.Set x, y labels

plt.xlabel('x') 
plt.ylabel('y')

5.Se y axis range

plt.yticks(np.arange(0, 1000, step=100))

6.Display stack plot in matplotlib

plt.title('Sales Report') 

plt.legend() 
plt.show()

Run this code, you will see this stack plot: