How to generate N random numbers in Python for lognormal and exponential distribution?

Question

The value of mean is 14 and std deviation is 1.4.When I tried with the formula random.lognormvariate(Mean,Sigma), I get very large values.It doesnt look like to be correct. Is ther eany other way to generate N random numbers for Lognormal distribution.

Answer 1

You can use numpy library for this purpose. It has a function for this purpose

import numpy as np
...
np.random.lognormal(Mean, Sigma)

Read more about it here

Answer 2

What you are doing is actually correct.

When you take the natural log of the normlog distributed value, you get the normal distributed value back:

import random as rd
from math import log
mean = 14
sigma = 1.4
rd_variable = rd.lognormvariate(mean, sigma)
print(log(rd_variable))