numpoly.broadcast_arrays¶
- numpoly.broadcast_arrays(*args: numpoly.typing.PolyLike, **kwargs: Any) → List[numpoly.baseclass.ndpoly][source]¶
Broadcast any number of arrays against each other.
- Args:
- args:
The arrays to broadcast.
- subok:
If True, then sub-classes will be passed-through, otherwise the returned arrays will be forced to be a base-class array (default).
- Return:
These arrays are views on the original arrays. They are typically not contiguous. Furthermore, more than one element of a broadcasted array may refer to a single memory location. If you need to write to the arrays, make copies first. While you can set the
writable
flag True, writing to a single output value may end up changing more than one location in the output array.- Example:
>>> poly1 = numpoly.monomial(3).reshape(1, 3) >>> poly1 polynomial([[1, q0, q0**2]]) >>> poly2 = numpoly.monomial(2).reshape(2, 1) >>> poly2 polynomial([[1], [q0]]) >>> res1, res2 = numpoly.broadcast_arrays(poly1, poly2) >>> res1 polynomial([[1, q0, q0**2], [1, q0, q0**2]]) >>> res2 polynomial([[1, 1, 1], [q0, q0, q0]])