## Python random :  weibullvariate()

`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 = 1beta = 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 = 1beta = 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 = 1beta = 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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