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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