class numpy.broadcast[source]
Produce an object that mimics broadcasting.
Parameters: |
in1, in2, ... : array_like Input parameters. |
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Returns: |
b : broadcast object Broadcast the input parameters against one another, and return an object that encapsulates the result. Amongst others, it has |
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]])
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. |
next | x.next() -> the next value, or raise StopIteration |
reset () | Reset the broadcasted result’s iterator(s). |
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Licensed under the NumPy License.
https://docs.scipy.org/doc/numpy-1.11.0/reference/generated/numpy.broadcast.html