scipy.spatial.transform.Rotation.random

Rotation.random()

Generate uniformly distributed rotations.

Parameters

numint or None, optional

Number of random rotations to generate. If None (default), then a single rotation is generated.

random_stateint, RandomState instance or None, optional

Accepts an integer as a seed for the random generator or a RandomState object. If None (default), uses global numpy.random random state.

Returns

random_rotationRotation instance

Contains a single rotation if num is None. Otherwise contains a stack of num rotations.

See also

scipy.stats.special_ortho_group

Notes

This function is optimized for efficiently sampling random rotation matrices in three dimensions. For generating random rotation matrices in higher dimensions, see scipy.stats.special_ortho_group.

Examples

>>> from scipy.spatial.transform import Rotation as R

Sample a single rotation:

>>> R.random(random_state=1234).as_euler('zxy', degrees=True)
array([-110.5976185 ,   55.32758512,   76.3289269 ])

Sample a stack of rotations:

>>> R.random(5, random_state=1234).as_euler('zxy', degrees=True)
array([[-110.5976185 ,   55.32758512,   76.3289269 ],
       [ -91.59132005,  -14.3629884 ,  -93.91933182],
       [  25.23835501,   45.02035145, -121.67867086],
       [ -51.51414184,  -15.29022692, -172.46870023],
       [ -81.63376847,  -27.39521579,    2.60408416]])