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Home/ Questions/Q 952881
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Editorial Team
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Editorial Team
Asked: May 15, 20262026-05-15T23:57:50+00:00 2026-05-15T23:57:50+00:00

I am using numpy. I have a matrix with 1 column and N rows

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I am using numpy. I have a matrix with 1 column and N rows and I want to get an array from with N elements.

For example, if i have M = matrix([[1], [2], [3], [4]]), I want to get A = array([1,2,3,4]).

To achieve it, I use A = np.array(M.T)[0]. Does anyone know a more elegant way to get the same result?

Thanks!

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  1. Editorial Team
    Editorial Team
    2026-05-15T23:57:51+00:00Added an answer on May 15, 2026 at 11:57 pm

    If you’d like something a bit more readable, you can do this:

    A = np.squeeze(np.asarray(M))
    

    Equivalently, you could also do: A = np.asarray(M).reshape(-1), but that’s a bit less easy to read.

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