numpy.broadcast

class numpy.broadcast [source]

Produce an object that mimics broadcasting.

Parameters:	in1, in2, ... : array_like Input parameters.
Returns:	b : broadcast object Broadcast the input parameters against one another, and return an object that encapsulates the result. Amongst others, it has shape and nd properties, and may be used as an iterator.

Examples

Manually adding two vectors, using broadcasting:

>>> x = np.array([[1], [2], [3]])
>>> y = np.array([4, 5, 6])
>>> b = np.broadcast(x, y)

>>> out = np.empty(b.shape)
>>> out.flat = [u+v for (u,v) in b]
>>> out
array([[ 5.,  6.,  7.],
       [ 6.,  7.,  8.],
       [ 7.,  8.,  9.]])

Compare against built-in broadcasting:

>>> x + y
array([[5, 6, 7],
       [6, 7, 8],
       [7, 8, 9]])

Attributes

index	current index in broadcasted result
iters	tuple of iterators along self‘s “components.”
shape	Shape of broadcasted result.
size	Total size of broadcasted result.

Methods

next	x.next() -> the next value, or raise StopIteration
reset()	Reset the broadcasted result’s iterator(s).