[Numpy-discussion] .M .A .T .H attribute result
oliphant at ee.byu.edu
Fri Jul 7 15:21:44 CDT 2006
I didn't compile the results, but the discussion on the idea of adding
new attributes to the array object led to the following result.
Added: .T attribute to mean self.transpose()
This was rather controversial with many possibilities emerging. In the
end, I think the common case of going back and forth between C-order and
Fortran-order codes in a wide variety of settings convinced me to make
.T a short-hand for .transpose() and add it as an attribute. This is
now the behavior in SVN.
Right now, for self.ndim < 2, this just returns a new reference to self
(perhaps it should return a new view instead).
While some were in favor, too many people opposed this (although the
circular reference argument was not convincing). Instead a
numpy.matlib module was started to store matrix versions of the
standard array-creation functions and mat was re-labeled to "asmatrix"
so that a copy is not made by default.
A few were in favor, but as this is just syntactic sugar for
.__array__() or asarray(obj) or .view(ndarray) it was thrown out because
it is not used enough to add an additional attribute
A few were in favor, but this can now be written .T.conj() which is not
bad so does not get a new attribute.
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