`numpy.matrixlib.defmatrix:matrix.var`

Signature

def var(self, axis = None, dtype = None, out = None, ddof = 0)

Returns the variance of the matrix elements, along the given axis.

Refer to numpy.var for full documentation.

This is the same as ndarray.var, except that where an ndarray would be returned, a matrix object is returned instead.

x = np.matrix(np.arange(12).reshape((3, 4)))
x

✓

matrix([[ 0,  1,  2,  3],
        [ 4,  5,  6,  7],
        [ 8,  9, 10, 11]])

x.var()
x.var(0)

✗

matrix([[10.6667, 10.6667, 10.6667, 10.6667]])

x.var(1)

✓

matrix([[1.25],
        [1.25],
        [1.25]])