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.
See also
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.” -
nd
-
Number of dimensions of broadcasted result.
-
ndim
-
Number of dimensions of broadcasted result.
-
numiter
-
Number of iterators possessed by the broadcasted result.
-
shape
-
Shape of broadcasted result.
-
size
-
Total size of broadcasted result.
Methods
reset
()Reset the broadcasted result’s iterator(s). -
© 2005–2019 NumPy Developers
Licensed under the 3-clause BSD License.
https://docs.scipy.org/doc/numpy-1.17.0/reference/generated/numpy.broadcast.html