random.weibullvariate() function in Python (original) (raw)

Last Updated : 26 May, 2020

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:

Python3 1== `

import the random module

import random

determining the values of the parameters

alpha = 1 beta = 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.

Python3 1== `

import the required libraries

import random import matplotlib.pyplot as plt

store the random numbers in a

list

nums = [] alpha = 1 beta = 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.

Python3 1== `

import the required libraries

import random import matplotlib.pyplot as plt

store the random numbers in a list

nums = [] alpha = 1 beta = 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 :