## Python random :  lognormvariate()

`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.

#### a random log-normal distribution floating number

Example :

1.

`# import the random module import random # determining the values of the parameters mu = 0sigma = 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 = 0sigma = 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 = 0sigma = 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 :

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