random module is used to generate random numbers in Python. Not actually random, rather this is used to generate pseudo-random numbers. That implies that these randomly generated numbers can be determined.
random.lognormvariate()
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) Parameters : mu : mean sigma : standard deviation, greater than 0 Returns : a random log-normal distribution floating numberExample 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))
0.8585439051088984Example 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()
Example 3: We can create a histogram to observe the density of 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(10000):
temp = random.lognormvariate(mu, sigma)
nums.append(temp)
# plotting a graph
plt.hist(nums, bins = 200)
plt.show()
Output :
