random.normalvariate() function in Python

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.normalvariate()

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

Syntax : random.normalvariate(mu, sigma) Parameters : mu : mean sigma : standard deviation Returns : a random normal distribution floating number

Example 1: Python3 1==

# import the random module
import random

# determining the values of the parameters
mu = 100
sigma = 50

# using the normalvariate() method
print(random.normalvariate(mu, sigma))

Output :

110.86699628241412

Example 2: We can generate the number multiple times and plot a graph to observe the normal distribution. Python3 1==

# 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.normalvariate(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 normal distribution. Python3 1==

# 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.normalvariate(mu, sigma) 
    nums.append(temp) 
      
# plotting a graph 
plt.hist(nums, bins = 200) 
plt.show()

Output :