skrobot.coordinates.math.normalize_vector¶

skrobot.coordinates.math.normalize_vector(v, ord=2)[source]¶

Return normalized vector

Parameters:

v (list or numpy.ndarray) – vector
ord (int (optional)) – ord of np.linalg.norm

Returns:

v – normalized vector

Return type:

numpy.ndarray

Examples

>>> from skrobot.coordinates.math import normalize_vector
>>> normalize_vector([1, 1, 1])
array([0.57735027, 0.57735027, 0.57735027])
>>> normalize_vector([0, 0, 0])
array([0., 0., 0.])