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I have a NumPy array x = np.array([[1, 2, 3], [4, 6, 8]]), and I want to divide every element by y. However, y is not a single number, but an array, y = np.array([2, 4]). I want to divide each row of x by each row of y, to return np.array([[0.5, 1.0, 1.5], [1.0, 1.5, 2.0]).

How can I do this? If I just run x / y, I get an error: ValueError: operands could not be broadcast together with shapes (2,3) (2,)

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    .. x/y[:,None]? Commented Feb 27, 2019 at 16:39

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Operations between multiple arrays must follow numpy's broadcasting rules. Here, your second array has to be reshaped to shape (2, 1) either via

x / y.reshape(2, 1)

or equivalently

x / y[:, np.newaxis]
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