random.weibullvariate() function in Python
Last Updated :
26 May, 2020
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 random
alpha = 1
beta = 1.5
print (random.weibullvariate(alpha, beta))
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Output :
0.7231214446591137
Example 2: We can generate the number multiple times and plot a graph to observe the Weibull distribution.
import random
import matplotlib.pyplot as plt
nums = []
alpha = 1
beta = 1.5
for i in range ( 100 ):
temp = random.weibullvariate(alpha, beta)
nums.append(temp)
plt.plot(nums)
plt.show()
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Output :
Example 3: We can create a histogram to observe the density of the Weibull distribution.
import random
import matplotlib.pyplot as plt
nums = []
alpha = 1
beta = 1.5
for i in range ( 10000 ):
temp = random.weibullvariate(alpha, beta)
nums.append(temp)
plt.hist(nums, bins = 200 )
plt.show()
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Output :
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