Produce an object that mimics broadcasting.
Input parameters.
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:
>>> import numpy as np >>> 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.”
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
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4