numpy.broadcast — NumPy v1.18 Manual (original) (raw)
class numpy. broadcast[source]¶
Produce an object that mimics broadcasting.
Parameters
in1, in2, …array_like
Input parameters.
Returns
bbroadcast object
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:
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
current index in broadcasted result
tuple of iterators along self’s “components.”
Number of dimensions of broadcasted result.
Number of dimensions of broadcasted result.
Number of iterators possessed by the broadcasted result.
Shape of broadcasted result.
Total size of broadcasted result.
Methods
| reset() | Reset the broadcasted result’s iterator(s). |
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