Python random expovariate














































Python random expovariate



Python random  :  expovariate()



This article demonstrates how to use random.expovariate function. expovariate() is an inbuilt method of the random module. It is used to return a random float number based on the Exponential distribution (used in statistics).

Syntax :

random.expovariate(lambd)


Parameter Values :

ParameterDescription
lambdRequired. A non-zero value.



Return Value :

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.

# import the random module 
import random 

# determining the values of the parameter 
lambd = 1.5

# using the expovariate() method 
print(random.expovariate(lambd)) 

Output :

0.32035158577123574


2.

We can generate the number multiple times and plot a graph to observe the exponential distribution.
# import the required libraries 
import random 
import matplotlib.pyplot as plt 
    
# store the random numbers in a 
# list 
nums = [] 
lambd = 3
    
for i in range(100): 
    temp = random.expovariate(lambd) 
    nums.append(temp) 
        
# plotting a graph 
plt.plot(nums) 
plt.show() 

Output :




3.

We can create a histogram to observe the density of the exponential distribution.
# import the required libraries 
import random 
import matplotlib.pyplot as plt 
    
# store the random numbers in a list 
nums = [] 
lambd = 1.5
    
for i in range(10000): 
    temp = random.expovariate(lambd) 
    nums.append(temp) 
        
# plotting a graph 
plt.hist(nums, bins = 200) 
plt.show() 

Output :


*****END OF ARTICLE*****



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