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random.lognormvariate() function in Python

Last Updated : 26 May, 2020
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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 number
Example 1: Python3 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 :
0.8585439051088984
Example 2: We can generate the number multiple times and plot a graph to observe the log-normal distribution. Python3 1==
# 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 : Example 3: We can create a histogram to observe the density of the log-normal distribution. Python3 1==
# 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 :

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