On 8/30/06, Sven Schreiber <[EMAIL PROTECTED]> wrote:
> Mathew Yeates schrieb:
> will be a numpy matrix, use <asarray> if you don't like that. But here
> it's really nice to work with matrices, because otherwise .sum() will
> give you a 1-d array sometimes, and that will suddenly look like a row
> to <hstack> (instead of a nice column vector) and wouldn't work --
> that's why matrices are so great and everybody should be using them ;-)
column_stack would work perfectly in place of hstack there if it only
didn't have the silly behavior of transposing arguments that already
are 2-d.
For reminders, here's the replacement implementation of column_stack I
proposed on July 21:
def column_stack(tup):
def transpose_1d(array):
if array.ndim<2: return _nx.transpose(atleast_2d(array))
else: return array
arrays = map(transpose_1d,map(atleast_1d,tup))
return _nx.concatenate(arrays,1)
This was in a big ticket I submitted about overhauling r_,c_,etc,
which was largely ignored. Maybe I should resubmit this by itself...
--bb
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