numpy.random.standard_gamma() in Python

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 :