### Python random  :  expovariate()

`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 :

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