-
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]])
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).
numpy.broadcast
2017-01-10 18:13:00
Please login to continue.