numpy.random.gamma() in Python
Last Updated :
15 Jul, 2020
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 as np
import matplotlib.pyplot as plt
gfg = np.random.gamma( 3 , 20 , 1000 )
count, bins, ignored = plt.hist(gfg, 14 , density = True )
plt.show()
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Output :
Example #2 :
Python3
import numpy as np
import matplotlib.pyplot as plt
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()
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Output :
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