random.weibullvariate() function in Python

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 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.

# 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.

# 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 :