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.paretovariate()
paretovariate() is an inbuilt method of the random module. It is used to return a random floating point number with Pareto distribution.
Syntax : random.paretovariate(alpha)
Parameter :
alpha : shape parameterReturns : a random Pareto distribution floating number
Example 1:
# import the random module import random # determining the values of the parameter alpha = 3 # using the paretovariate() method print(random.paretovariate(alpha)) |
Output :
1.0333528834896462
Example 2: We can generate the number multiple times and plot a graph to observe the Pareto distribution.
# import the required libraries import random import matplotlib.pyplot as plt # store the random numbers in a # list nums = [] alpha = 3 for i in range(100): temp = random.paretovariate(alpha) 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 Pareto distribution.
# import the required libraries import random import matplotlib.pyplot as plt # store the random numbers in a list nums = [] alpha = 3 for i in range(10000): temp = random.paretovariate(alpha) nums.append(temp) # plotting a graph plt.hist(nums, bins = 200) plt.show() |
Output :
