# random.normalvariate() 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.normalvariate()

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

Syntax : random.normalvariate(mu, sigma)

Parameters :
mu : mean
sigma : standard deviation

Returns : a random normal distribution floating number

Example 1:

 `# import the random module``import` `random`` ` `# determining the values of the parameters``mu ``=` `100``sigma ``=` `50`` ` `# using the normalvariate() method``print``(random.normalvariate(mu, sigma))`

Output :

`110.86699628241412`

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

 `# import the required libraries ``import` `random ``import` `matplotlib.pyplot as plt ``   ` `# store the random numbers in a  ``# list ``nums ``=` `[] ``mu ``=` `100``sigma ``=` `50``   ` `for` `i ``in` `range``(``100``): ``    ``temp ``=` `random.normalvariate(mu, sigma)``    ``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 normal distribution.

 `# import the required libraries ``import` `random ``import` `matplotlib.pyplot as plt ``   ` `# store the random numbers in a list ``nums ``=` `[] ``mu ``=` `100``sigma ``=` `50``   ` `for` `i ``in` `range``(``10000``): ``    ``temp ``=` `random.normalvariate(mu, sigma) ``    ``nums.append(temp) ``       ` `# plotting a graph ``plt.hist(nums, bins ``=` `200``) ``plt.show()`

Output :

Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course. And to begin with your Machine Learning Journey, join the Machine Learning - Basic Level Course

My Personal Notes arrow_drop_up