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random.weibullvariate() function in Python

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  • Last Updated : 26 May, 2020
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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 :


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