[python] Better way to shuffle two numpy arrays in unison

Just use numpy...

First merge the two input arrays 1D array is labels(y) and 2D array is data(x) and shuffle them with NumPy shuffle method. Finally split them and return.

import numpy as np

def shuffle_2d(a, b):
    rows= a.shape[0]
    if b.shape != (rows,1):
        b = b.reshape((rows,1))
    S = np.hstack((b,a))
    np.random.shuffle(S)
    b, a  = S[:,0], S[:,1:]
    return a,b

features, samples = 2, 5
x, y = np.random.random((samples, features)), np.arange(samples)
x, y = shuffle_2d(train, test)

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