numpy.ufunc.reduce

ufunc.reduce(array, axis=0, dtype=None, out=None)

Reduce applies the operator to all elements of the array.

For a one-dimensional array, reduce produces results equivalent to:

r = op.identity
for i in xrange(len(A)):
  r = op(r,A[i])
return r

For example, add.reduce() is equivalent to sum().

Parameters:

array : array_like

The array to act on.

axis : integer, optional

The axis along which to apply the reduction.

dtype : data-type-code, optional

The type used to represent the intermediate results. Defaults to the data type of the output array if this is provided, or the data type of the input array if no output array is provided.

out : array_like, optional

A location into which the result is stored. If not provided a freshly-allocated array is returned.

Returns:

r : ndarray

The reduced values. If out was supplied, r is equal to out.

Examples

>>> np.multiply.reduce([2,3,5])
30