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 parameter

Returns : a random Weibull distribution floating number

Example 1:

import random

alpha = 1

beta = 1.5

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 random

import matplotlib.pyplot as plt

nums = []

alpha = 1

beta = 1.5

for i in range ( 100 ):

`` temp = random.weibullvariate(alpha, beta)

`` nums.append(temp)

plt.plot(nums)

plt.show()

Output :

Example 3: We can create a histogram to observe the density of the Weibull distribution.

import random

import matplotlib.pyplot as plt

nums = []

alpha = 1

beta = 1.5

for i in range ( 10000 ):

`` temp = random.weibullvariate(alpha, beta)

`` nums.append(temp)

plt.hist(nums, bins = 200 )

plt.show()

Output :

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