Dave Farrance wrote:
Yep, he's evidently used to the Matlab/Octave way of defining "vectors"
which is somewhat easier for a math-oriented interactive environment.
It's just a *bit* more laborious to append columns in numpy.
Yes, that's probably the main reason to do things that way.
A collection of vectors is most conveniently represented as
a 2D array where the first index selects one of the vectors.
But then to apply a transformation matrix to all the vectors,
you need to transpose the matrix and multiply it on the
right.
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Greg
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