scipy.spatial.transform.RigidTransform.

getitem#

RigidTransform.__getitem__()#

Extract transform(s) at given index(es) from this object.

Creates a new RigidTransform instance containing a subset of transforms stored in this object.

Parameters:

indexerint or slice or array_like: Specifies which transform(s) to extract. A single indexer must be specified, i.e. as if indexing a 1 dimensional array or list.

Returns:

transformRigidTransform instance

Contains

a single transform, if indexer is a single index
a stack of transform(s), if indexer is a slice, or an index array.

Raises:

TypeError: If the transform is a single transform.

Examples

>>> from scipy.spatial.transform import RigidTransform as Tf
>>> t = [[0, 0, 0], [1, 0, 0], [2, 0, 0]]  # 3 translations
>>> tf = Tf.from_translation(t)

A single index returns a single transform:

>>> tf[0].as_matrix()
array([[1., 0., 0., 0.],
       [0., 1., 0., 0.],
       [0., 0., 1., 0.],
       [0., 0., 0., 1.]])

A slice returns a stack of transforms:

>>> tf[1:3].translation
array([[1., 0., 0.],
       [2., 0., 0.]])

An index array returns a stack of transforms:

>>> tf[[0, 2]].translation
array([[0., 0., 0.],
       [2., 0., 0.]])

__getitem__#

getitem#