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scipy.spatial.transform.Rotation.

# __getitem__

Rotation.__getitem__(self, indexer)

  Extract rotation(s) at given index(es) from object.

  Create a new `Rotation` instance containing a subset of rotations stored in this object.

  Parameters:
    indexer index, 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:
    rotation `Rotation` instance
      Contains

        - a single rotation, if indexer is a single index

        - a stack of rotation(s), if indexer is a slice, or and index array.

  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.        ]])