matrix.mean()

numpy.matrix.mean

matrix.mean(axis=None, dtype=None, out=None) [source]

Returns the average of the matrix elements along the given axis.

Refer to numpy.mean for full documentation.

See also

numpy.mean

Notes

Same as ndarray.mean except that, where that returns an ndarray, this returns a matrix object.

Examples

>>> x = np.matrix(np.arange(12).reshape((3, 4)))
>>> x
matrix([[ 0,  1,  2,  3],
        [ 4,  5,  6,  7],
        [ 8,  9, 10, 11]])
>>> x.mean()
5.5
>>> x.mean(0)
matrix([[ 4.,  5.,  6.,  7.]])
>>> x.mean(1)
matrix([[ 1.5],
        [ 5.5],
        [ 9.5]])