numpy.broadcast — NumPy v1.11 Manual (original) (raw)
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). |