random.gammavariate() 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.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 0Returns : 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 :