With the help of numpy.random.standard_gamma() method, we can get the random samples from standard gamma distribution and return the random samples by using this method.
Standard gamma distribution
Syntax : numpy.random.standard_gamma(shape, size=None)
Return : Return the random samples as numpy array.
Example #1 :
In this example we can see that by using numpy.random.standard_gamma() method, we are able to get the random samples from standard gamma distribution and return the random samples.
Python3
# import numpy import numpy as np import matplotlib.pyplot as plt # Using standard_gamma() method gfg = np.random.standard_gamma(3.47, 5000) plt.hist(gfg, bins = 50, density = True) plt.show() |
Output :
Example #2 :
Python3
# import numpy import numpy as np import matplotlib.pyplot as plt # Using standard_gamma() method gfg = np.random.standard_gamma(3.47, 5000) gfg1 = np.random.power(gfg, 5000) plt.hist(gfg1, bins = 50, density = True) plt.show() |
Output :
