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.weibullvariate()
weibullvariate() is an inbuilt method of the random module. It is used to return a random floating point number with Weibull distribution.
Syntax : random.weibullvariate(alpha, beta)
Parameters :
alpha : scale parameter
beta : shape parameterReturns : a random Weibull distribution floating number
Example 1:
# import the random module import random # determining the values of the parameters alpha = 1beta = 1.5 # using the weibullvariate() method print(random.weibullvariate(alpha, beta)) |
Output :
0.7231214446591137
Example 2: We can generate the number multiple times and plot a graph to observe the Weibull distribution.
# import the required libraries import random import matplotlib.pyplot as plt # store the random numbers in a # list nums = [] alpha = 1beta = 1.5 for i in range(100): temp = random.weibullvariate(alpha, beta) 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 Weibull distribution.
# import the required libraries import random import matplotlib.pyplot as plt # store the random numbers in a list nums = [] alpha = 1beta = 1.5 for i in range(10000): temp = random.weibullvariate(alpha, beta) nums.append(temp) # plotting a graph plt.hist(nums, bins = 200) plt.show() |
Output :
