Python random normalvariate














































Python random normalvariate



Python random :  normalvariate()


This article demonstrates how to use random.normalvariate function . 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)


Parameter Values :

ParameterDescription
muRequired. Mean.
sigmaRequired. Standard deviation.



Return Value :

a random normal distribution floating 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 :
19.617949908406857


2.
We can generate the number 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 :






3.
We can create a histogram to observe the density of 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(10000): 
    temp = random.normalvariate(mu, sigma) 
    nums.append(temp) 
        
# plotting a graph 
plt.hist(nums, bins = 200) 
plt.show() 

Output :





******END OF ARTICLE******




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