On Mon, Jan 26, 2015 at 6:06 AM, Dieter Van Eessen < [email protected]> wrote:
> I've read that numpy.array isn't arranged according to the > 'right-hand-rule' (right-hand-rule => thumb = +x; index finger = +y, bend > middle finder = +z). This is also confirmed by an old message I dug up from > the mailing list archives. (see message below) > Dieter, It looks like you are confusing dimensionality of the array with the dimensionality of a vector that it might store. If you are interested in using numpy for 3D modeling, you will likely only encounter 1-dimensional arrays (vectors) of size 3 and 2-dimensional arrays (matrices) of size 9 or shape (3, 3). A 3-dimensional array is a stack of matrices and the 'right-hand-rule' does not really apply. The notion of C/F-contiguous deals with the order of axes (e.g. width first or depth first) while the right-hand-rule is about the direction of the axes (if you "flip" the middle finger right hand becomes left.) In the case of arrays this would probably correspond to little-endian vs. big-endian: is a[0] stored at a higher or lower address than a[1]. However, whatever the answer to this question is for a particular system, it is the same for all axes in the array, so right-hand - left-hand distinction does not apply.
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