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 0Returns : 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))
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Output :
0.8585439051088984
Example 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 :
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 :