random.gauss() function in Python
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.gauss()
gauss() is an inbuilt method of the random module. It is used to return a random floating point number with gaussian distribution.
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
Syntax : random.gauss(mu, sigma)
Parameters :
mu : mean
sigma : standard deviationReturns : a random gaussian distribution floating number
Example 1:
# import the random moduleimport random # determining the values of the parametersmu = 100sigma = 50 # using the gauss() methodprint(random.gauss(mu, sigma)) |
Output :
127.80261974806497
Example 2: We can generate the number multiple times and plot a graph to observe the gaussian distribution.
# import the required libraries import random import matplotlib.pyplot as plt # store the random numbers in a # list nums = [] mu = 100sigma = 50 for i in range(100): temp = random.gauss(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 gaussian distribution.
# import the required libraries import random import matplotlib.pyplot as plt # store the random numbers in a list nums = [] mu = 100sigma = 50 for i in range(10000): temp = random.gauss(mu, sigma) nums.append(temp) # plotting a graph plt.hist(nums, bins = 200) plt.show() |
Output :
