dot_outer#

Rodrigues.dot_outer(other: Vector3d, lazy: bool = False, chunk_size: int = 20, progressbar: bool = False) → ndarray[source]#

Return the outer dot products of all vectors and all the other vectors.

Parameters:

other: Compute the outer dot product with these vectors.
lazy: Whether to perform the computation lazily with Dask. Default is False.
chunk_size: Number of orientations per axis to include in each iteration of the computation. Default is 20. Only applies when lazy is True.
progressbar: Whether to show a progressbar during computation if lazy is True. Default is True.

Returns:

dot_products: Dot products.

Examples

>>> from orix.vector import Vector3d
>>> v = Vector3d(((0.0, 0.0, 1.0), (1.0, 0.0, 0.0)))  # shape = (2, )
>>> w = Vector3d(((0.0, 0.0, 0.5), (0.4, 0.6, 0.0), (0.5, 0.5, 0.5)))  # shape = (3, )
>>> v.dot_outer(w)
array([[0.5, 0. , 0.5],
       [0. , 0.4, 0.5]])
>>> w.dot_outer(v)  # shape = (3, 2)
array([[0.5, 0. ],
       [0. , 0.4],
       [0.5, 0.5]])