scipy.spatial.transform.Rotation.
__getitem__#
- Rotation.__getitem__(self, indexer)#
- Extract rotation(s) at given index(es) from object. - Create a new - Rotationinstance containing a subset of rotations stored in this object.- Parameters:
- indexerindex, slice, or index array
- Specifies which rotation(s) to extract. A single indexer must be specified, i.e. as if indexing a 1 dimensional array or list. 
 
- Returns:
- rotationRotationinstance
- Contains
- a single rotation, if indexer is a single index 
- a stack of rotation(s), if indexer is a slice, or and index array. 
 
 
 
- rotation
- Raises:
- TypeError if the instance was created as a single rotation.
 
 - Examples - >>> from scipy.spatial.transform import Rotation as R >>> rs = R.from_quat([ ... [1, 1, 0, 0], ... [0, 1, 0, 1], ... [1, 1, -1, 0]]) # These quats are normalized >>> rs.as_quat() array([[ 0.70710678, 0.70710678, 0. , 0. ], [ 0. , 0.70710678, 0. , 0.70710678], [ 0.57735027, 0.57735027, -0.57735027, 0. ]]) - Indexing using a single index: - >>> a = rs[0] >>> a.as_quat() array([0.70710678, 0.70710678, 0. , 0. ]) - Array slicing: - >>> b = rs[1:3] >>> b.as_quat() array([[ 0. , 0.70710678, 0. , 0.70710678], [ 0.57735027, 0.57735027, -0.57735027, 0. ]]) - List comprehension to split each rotation into its own object: - >>> c = [r for r in rs] >>> print([r.as_quat() for r in c]) [array([ 0.70710678, 0.70710678, 0. , 0. ]), array([ 0. , 0.70710678, 0. , 0.70710678]), array([ 0.57735027, 0.57735027, -0.57735027, 0. ])] - Concatenation of split rotations will recover the original object: - >>> R.concatenate([a, b]).as_quat() array([[ 0.70710678, 0.70710678, 0. , 0. ], [ 0. , 0.70710678, 0. , 0.70710678], [ 0.57735027, 0.57735027, -0.57735027, 0. ]])