Python random lognormvariate














































Python random lognormvariate




Python random  lognormvariate()

This article demonstrates how to use 
random.lognormvariate function . lognormvariate() is an inbuilt method of the random module. It is used to return a random floating point number with log-normal distribution.

Syntax :

random.lognormvariate(mu,sigma)


Parameter Values :

ParameterDescription
muRequired. Mean.
sigmaRequired. Standard deviation. The value is greater than 0.


Return Value :

a random log-normal distribution floating number



Example :

1.

# import the random module 
import random 

# determining the values of the parameters 
mu = 0
sigma = 0.25

# using the lognormvariate() method 
print(random.lognormvariate(mu, sigma))
Output :
0.9822406753499302


2.We can generate the number multiple times and plot a graph to observe the log-normal distribution.

 # import the required libraries 
import random 
import matplotlib.pyplot as plt 

# store the random numbers in a 
# list 
nums = [] 
mu = 0
sigma = 0.25
    
for i in range(100): 
    temp = random.lognormvariate(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 lognormal distribution.

# import the required libraries 
import random 
import matplotlib.pyplot as plt 
    
# store the random numbers in a list 
nums = [] 
mu = 0
sigma = 0.25
    
for i in range(10000): 
    temp = random.lognormvariate(mu, sigma) 
    nums.append(temp) 
        
# plotting a graph 
plt.hist(nums, bins = 200
plt.show() 

Output :






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





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