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How to randomly assign data into two classes?

I have a multivariate dataset with x and y variables.
I’d like to randomly assign x to one class and y to another. How do I do that?
What I tried so far:
import numpy as np
from random import random
x1 = [1, 2, 3]
x2 = [4, 5, 6]
y1 = [0, 1, 2]
y2 = [3, 4, 5]

classifier_one = np.zeros(shape = (len(x1),1))

classifier_one[x1] = random()

classifier_two = np.zeros(shape = (len(x2),1))

classifier_two[x2] = random()

I get an error message ‘type mismatch’, ‘The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()’.
How can I randomly assign x and y data to two different classes?

A:

You could use np.random.choice() to pick a random element from x and then use the indices of this element with np.choose() to pick a random index in both arrays:
import numpy as np

x1 = [1, 2, 3]
x2 = [4, 5, 6]
y1 = [0, 1, 2]
y2 = [3, 4, 5]

classifier_one = np.zeros(shape = (len(x1),1))

classifier_one[np.random.choice(x1, size = len(x1))] = random()

classifier_two = np.zeros(shape = (len(x2),1))

classifier_two[np.random.choice(x2, size = len(x2))] = random()

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