python - Randomize 2 numpy arrays the same way

Question

This question already has answers here: question from:https://stackoverflow.com/questions/65836730/randomize-2-numpy-arrays-the-same-way

Answer 1

Using Numpy

You can use np.c_ to shuffle them together and then put them back into your separate arrays -

import numpy as np

#Creating same X and y for demonstration
X = np.arange(0,10).reshape(5,2)
y = np.arange(0,10).reshape(5,2)

c = np.c_[X,y]
np.random.shuffle(c)

X1, y1 = c[:,:X.shape[1]], c[:,:y.shape[1]]

print(X1)
print(y1)

# Note, same order remains

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

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

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Using Sklearn

A better option would be to use sklearn api -

from sklearn.utils import shuffle
X, y = shuffle(X, y, random_state=0)