With the help of numpy.random.gamma() method, we can get the random samples of gamma distribution and return the random samples of numpy array by using this method.
gamma distribution
Syntax : numpy.random.gamma(shape, scale=1.0, size=None)
Return : Return the random samples of numpy array.
Example #1 :
In this example we can see that by using numpy.random.gamma() method, we are able to get the random samples from gamma distribution and return the random samples by using this method.
Python3
# import numpy and gamma import numpy as np import matplotlib.pyplot as plt # Using gamma() method gfg = np.random.gamma(3, 20, 1000) count, bins, ignored = plt.hist(gfg, 14, density = True) plt.show() |
Output :
Example #2 :
Python3
# import numpy and gamma import numpy as np import matplotlib.pyplot as plt # Using gamma() method gfg = np.random.gamma(4.98, 12, 40000) gfg1 = np.random.gamma(gfg, 13.46, 40000) count, bins, ignored = plt.hist(gfg1, 50, density = True) plt.show() |
Output :
