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 numberExample 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))
0.7231214446591137Example 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()
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 :
