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Asked: 2026-05-21T13:51:08+00:00

I saw this example in the SciPy documentation: x, y = np.random.multivariate_normal(mean, cov, 5000).T

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I saw this example in the SciPy documentation:

x, y = np.random.multivariate_normal(mean, cov, 5000).T

What does the final .T actually do here?

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  1. Editorial Team

    The .T accesses the attribute T of the object, which happens to be a NumPy array. The T attribute is the transpose of the array, see the documentation.

    Apparently you are creating random coordinates in the plane. The output of multivariate_normal() might look like this:

    >>> np.random.multivariate_normal([0, 0], [[1, 0], [0, 1]], 5)  
array([[ 0.59589335,  0.97741328],
       [-0.58597307,  0.56733234],
       [-0.69164572,  0.17840394],
       [-0.24992978, -2.57494471],
       [ 0.38896689,  0.82221377]])

    The transpose of this matrix is:

    array([[ 0.59589335, -0.58597307, -0.69164572, -0.24992978,  0.38896689],
       [ 0.97741328,  0.56733234,  0.17840394, -2.57494471,  0.82221377]])

    which can be conveniently separated in x and y parts by sequence unpacking.

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