Python random.weibullvariate()

The random module is used to generate random numbers in Python. These numbers are not actually random, but rather pseudo-random. This means that these randomly generated numbers can be determined.

random.weibullvariate()

weibullvariate() is a built-in method of the random module. It returns a random floating-point number with a Weibull distribution.

Syntax: random.weibullvariate(alpha, beta).

Parameters:

alpha: scale parameter

beta: shape parameter

Returns: A random floating-point number from a Weibull distribution

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 numbers 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 visualize 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: