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 numpyimport numpy as npimport matplotlib.pyplot as plt gfg = np.arange(10)# Using shuffle() methodnp.random.shuffle(gfg) print(gfg) |
Output :
[7 1 5 0 8 4 3 9 6 2]
Example #2 :
Python3
# import numpyimport numpy as npimport matplotlib.pyplot as plt gfg = np.arange(16).reshape((4, 4))# Using shuffle() methodnp.random.shuffle(gfg) print(gfg) |
Output :
[[ 4 5 6 7]
[ 0 1 2 3]
[ 8 9 10 11]
[12 13 14 15]]
