Python random.normalvariate()

The random module is used to generate random numbers in Python. These numbers are not actually random, but rather pseudo-random. This means that the numbers generated are deterministic.

random.normalvariate()

normalvariate() is a built-in method of the random module. It returns a random floating-point number with a normal distribution.

Syntax: Random.normalvariate(mu, sigma).

Parameters:

mu: mean

igma: standard deviation

Returns: A random normally distributed floating-point number

Example 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 numbers multiple times and plot a graph to observe the normal 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.normalvariate(mu, sigma)
nums.append(temp)
        
# plotting a graph 
plt.plot(nums) 
plt.show()

Output:

Example 3: We can create a histogram to visualize the density of a normal 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.normalvariate(mu, sigma)
nums.append(temp)
        
# plotting a graph
plt.hist(nums, bins = 200)
plt.show()

Output: