Comments (3)
moble
commented on July 29, 2024
Thanks for the bug report!
I found an example in the docs showing that you really need to use a separate pointer for PySequence_GetItem, and Py_DECREF it after you're done using it. I guess this was just lucky with lists, but numpy arrays are a little too clever for [our] own good.
from quaternion.
jsbtic
commented on July 29, 2024
Thanks for the fix!
J.
P.S. I was thinking, could you add the some examples how to convert M x 4 numppy arrays to quaternion arrays and vice versa to the Usage section in the README.md for new users (took some time for me to find out).
E.g.
>>> M = 5
>>> a = np.round(np.random.rand(M, 4),3)
>>> a
array([[ 0.909, 0.671, 0.079, 0.228],
[ 0.762, 0.492, 0.096, 0.128],
[ 0.543, 0.574, 0.273, 0.941],
[ 0.307, 0.434, 0.512, 0.556],
[ 0.885, 0.538, 0.614, 0.122]])
>>> qs = quaternion.as_quat_array(a)
>>> qs
array([quaternion(0.909, 0.671, 0.079, 0.228),
quaternion(0.762, 0.492, 0.096, 0.128),
quaternion(0.543, 0.574, 0.273, 0.941),
quaternion(0.307, 0.434, 0.512, 0.556),
quaternion(0.885, 0.538, 0.614, 0.122)], dtype=quaternion)
>>> b = quaternion.as_float_array(qs)
>>> b
array([[ 0.909, 0.671, 0.079, 0.228],
[ 0.762, 0.492, 0.096, 0.128],
[ 0.543, 0.574, 0.273, 0.941],
[ 0.307, 0.434, 0.512, 0.556],
[ 0.885, 0.538, 0.614, 0.122]])
from quaternion.
moble
commented on July 29, 2024
Good idea. I myself frequently forget how to do these conversions. I've added it to the README. Thanks again!
from quaternion.
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from quaternion.