numpy.random.shuffle() in python

Last Updated : 18 Aug, 2020

With the help of numpy.random.shuffle() method, we can get the random positioning of different integer values in the numpy array or we can say that all the values in an array will be shuffled randomly.

Syntax : numpy.random.shuffle(x)

Return : Return the reshuffled numpy array.

Example #1 :

In this example we can see that by using numpy.random.shuffle() method, we are able to do the reshuffling of values in the numpy array or change the positions of values in an array.

Python3

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

gfg = np.arange(10)
# Using shuffle() method
np.random.shuffle(gfg)

print(gfg)

Output :

[7 1 5 0 8 4 3 9 6 2]

Example #2 :

Python3

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

gfg = np.arange(16).reshape((4, 4))
# Using shuffle() method
np.random.shuffle(gfg)

print(gfg)

Output :

[[ 4 5 6 7]

[ 0 1 2 3]

[ 8 9 10 11]

[12 13 14 15]]

Python Introduction

jitender_1998

Improve

Article Tags :

Practice Tags :

python

numpy.random.shuffle() in python

Similar Reads

Python Fundamentals

Python Data Structures

Advanced Python

Data Science with Python

Web Development with Python

Python Practice

Thank You!

What kind of Experience do you want to share?