numpy.matrix.prod¶
- matrix.prod(axis=None, dtype=None, out=None)[source]¶
Return the product of the array elements over the given axis.
Refer to prod for full documentation.
See also
Notes
Same as ndarray.prod, except, where that returns an ndarray, this returns a matrix object instead.
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.prod() 0 >>> x.prod(0) matrix([[ 0, 45, 120, 231]]) >>> x.prod(1) matrix([[ 0], [ 840], [7920]])