numpy.random.gamma() in Python
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 gammaimport numpy as npimport matplotlib.pyplot as plt # Using gamma() methodgfg = np.random.gamma(3, 20, 1000) count, bins, ignored = plt.hist(gfg, 14, density = True)plt.show() |
Output :
Example #2 :
Python3
# import numpy and gammaimport numpy as npimport matplotlib.pyplot as plt # Using gamma() methodgfg = 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 :
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