# random.paretovariate() 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.paretovariate()

`paretovariate()` is an inbuilt method of the `random` module. It is used to return a random floating point number with Pareto distribution.

Syntax : random.paretovariate(alpha)

Parameter :
alpha : shape parameter

Returns : a random Pareto distribution floating number

Example 1:

 `# import the random module``import` `random`` ` `# determining the values of the parameter``alpha ``=` `3`` ` `# using the paretovariate() method``print``(random.paretovariate(alpha))`

Output :

`1.0333528834896462`

Example 2: We can generate the number multiple times and plot a graph to observe the Pareto distribution.

 `# 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 Pareto distribution.

 `# 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``(``10000``): ``    ``temp ``=` `random.paretovariate(alpha) ``    ``nums.append(temp) ``       ` `# plotting a graph ``plt.hist(nums, bins ``=` `200``) ``plt.show()`

Output :

My Personal Notes arrow_drop_up