# 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 :

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