numpy.random.shuffle() in python

numpy.random.get_state() in Python

Last Updated : 26 Nov, 2021

With the help of numpy.random.get_state() method, we can get the internal state of a generator and return the tuple by using this method.

Syntax : numpy.random.get_state()

Return : Return the tuple having {tuple(str, ndarray of 624 units, int, int, float), dict}

Example #1 :

In this example we can see that by using numpy.random.get_state() method, we are able to get the tuple having internal state of a generator and return the tuple by using this method.

Python3

# import numpy and get_state
import numpy as np

# Using get_state() method
gfg = np.random.get_state()[0]

print(gfg)

Output :

MT19937

Example #2 :

Python3

# import numpy and get_state
import numpy as np
import matplotlib.pyplot as plt

# Using get_state() method
gfg = np.random.get_state()[1]

count, bins, ignored = plt.hist(gfg, 24, density = True)
plt.show()

Output :

numpy.random.shuffle() in python

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