# random.gammavariate() 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.gammavariate()

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

Syntax : random.gammavariate(alpha, beta)

Parameters :
alpha : greater than 0
beta : greater than 0

Returns : a random gamma distribution floating number

Example 1:

 `# import the random module``import` `random`` ` `# determining the values of the parameter``alpha ``=` `100``beta ``=` `2`` ` `# using the gammavariate() method``print``(random.gammavariate(alpha, beta))`

Output :

`4.647425239687329`

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

 `# import the required libraries ``import` `random ``import` `matplotlib.pyplot as plt ``   ` `# store the random numbers in a  ``# list ``nums ``=` `[] ``alpha ``=` `9``beta ``=` `0.5``   ` `for` `i ``in` `range``(``100``): ``    ``temp ``=` `random.gammavariate(alpha, beta)``    ``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 gamma distribution.

 `# import the required libraries ``import` `random ``import` `matplotlib.pyplot as plt ``   ` `# store the random numbers in a list ``nums ``=` `[] ``alpha ``=` `9``beta ``=` `0.5``   ` `for` `i ``in` `range``(``10000``): ``    ``temp ``=` `random.gammavariate(alpha, beta)``    ``nums.append(temp) ``       ` `# plotting a graph ``plt.hist(nums, bins ``=` `200``) ``plt.show()`

Output :

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