On this page
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 anndarray
, this returns amatrix
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]])
© 2008–2017 NumPy Developers
Licensed under the NumPy License.
https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.matrix.prod.html