Open In App

random.gauss() function in Python

Improve
Improve
Like Article
Like
Save
Share
Report

random module is used to generate random numbers in Python. Not actually random, rather this is used to generate pseudo-random numbers. That implies that these randomly generated numbers can be determined.

random.gauss()

gauss() is an inbuilt method of the random module. It is used to return a random floating point number with gaussian distribution.

Syntax : random.gauss(mu, sigma)

Parameters :
mu : mean
sigma : standard deviation

Returns : a random gaussian distribution floating number

Example 1:




# import the random module
import random
  
# determining the values of the parameters
mu = 100
sigma = 50
  
# using the gauss() method
print(random.gauss(mu, sigma))


Output :

127.80261974806497

Example 2: We can generate the number multiple times and plot a graph to observe the gaussian distribution.




# import the required libraries 
import random 
import matplotlib.pyplot as plt 
    
# store the random numbers in a  
# list 
nums = [] 
mu = 100
sigma = 50
    
for i in range(100): 
    temp = random.gauss(mu, sigma)
    nums.append(temp) 
        
# plotting a graph 
plt.plot(nums) 
plt.show()


Output :

Example 3: We can create a histogram to observe the density of the gaussian distribution.




# import the required libraries 
import random 
import matplotlib.pyplot as plt 
    
# store the random numbers in a list 
nums = [] 
mu = 100
sigma = 50
    
for i in range(10000): 
    temp = random.gauss(mu, sigma) 
    nums.append(temp) 
        
# plotting a graph 
plt.hist(nums, bins = 200
plt.show()


Output :



Last Updated : 26 May, 2020
Like Article
Save Article
Previous
Next
Share your thoughts in the comments
Similar Reads