scipy.spatial.transform.RigidTransform.

len#

RigidTransform.__len__()[source]#

Return the length of the leading transform dimension.

A transform can store an N-dimensional array of transforms. The length is the size of the first dimension of this array. If the transform is a single transform, the length is not defined and an error is raised.

Returns:

lengthint: The number of transforms in this object.

Raises:

TypeError: If the transform is a single transform.

Examples

>>> from scipy.spatial.transform import RigidTransform as Tf
>>> import numpy as np
>>> tf = Tf.identity(3)
>>> len(tf)
3

An N-dimensional array of transforms returns its first dimension size:

>>> t = np.ones((5, 2, 3, 1, 3))
>>> tf = Tf.from_translation(t)
>>> len(tf)
5

A single transform has no length:

>>> tf = Tf.from_translation([1, 0, 0])
>>> len(tf)  
Traceback (most recent call last):
    ...
TypeError: Single transform has no len().

__len__#

len#