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
andnd
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]])
Methods
next
reset
()Reset the broadcasted result’s iterator(s).