{*} except that negative axes for swapaxes doesn't seem work currently, so instead it would need to be something like:
a.transpose( a.shape[:-2] + (a.shape[-1],a.shape[-2]) )
with a check for "if ndim > 1", of course.
Apparently a.swapaxes(-2,-1) does work, and it does exactly what I am suggesting, including leaving zero-d and 1-d arrays alone. Not sure why I thought it wasn't working.
So in short my proposal is to:
-- make a.T a property of array that returns a.swapaxes(-2,-1),
-- make a.H a property of array that returns a.conjugate().swapaxes(-2,-1)
and maybe
-- make a.M a property of array that returns numpy.asmatrix(a)
--Bill
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