Here are the examples of the python api numpy.normalized taken from open source projects. By voting up you can indicate which examples are most useful and appropriate.
1 Examples
3
Example 1
Project: quaternion Source File: __init__.py
def as_rotation_vector(q):
"""Convert input quaternion to the axis-angle representation
Note that if any of the input quaternions has norm zero, no error is
raised, but NaNs will appear in the output.
Parameters
----------
q: quaternion or array of quaternions
The quaternion(s) need not be normalized, but must all be nonzero
Returns
-------
rot: float array
Output shape is q.shape+(3,). Each vector represents the axis of
the rotation, with norm proportional to the angle of the rotation.
"""
return as_float_array(2*np.log(np.normalized(q)))[..., 1:]