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random.expovariate() function in Python

Last Updated : 23 Dec, 2021
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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.expovariate()

expovariate() is an inbuilt method of the random module. It is used to return a random floating point number with exponential distribution.
Syntax : random.expovariate(lambda) Parameters : lambda : a non zero value Returns : a random exponential distribution floating number if the parameter is positive, the results range from 0 to positive infinity if the parameter is negative, the results range from 0 to negative infinity
Example 1: Python3 1==
# import the random module import random # determining the values of the parameter lambda = 1.5 # using the expovariate() method print(random.expovariate(lambda)) 
Output :
0.22759592233982198
Example 2: We can generate the number multiple times and plot a graph to observe the exponential distribution. Python3 1==
# import the required libraries  import random  import matplotlib.pyplot as plt    # store the random numbers in a  # list  nums = []  alpha = 3   for i in range(100):   temp = random.paretovariate(alpha)  nums.append(temp)    # plotting a graph  plt.plot(nums)  plt.show() 
Output : Example 3: We can create a histogram to observe the density of the exponential distribution. Python3 1==
# import the required libraries  import random  import matplotlib.pyplot as plt    # store the random numbers in a list  nums = []  lambda = 1.5   for i in range(10000):   temp = random.expovariate(lambda)  nums.append(temp)    # plotting a graph  plt.hist(nums, bins = 200)  plt.show() 
Output :

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