Python random weibullvariate














































Python random weibullvariate



Python random  weibullvariate()


This article demonstrates how to use 
random.weibullvariate function . 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)


Parameter Values :

ParameterDescription
alphaRequired. It is a shape parameter.
betaRequired. It is a shape parameter.


Return Value :

 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 :
2.957460487430386

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 :






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 :






******END OF ARTICLE******



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