Hi everyone -
Recarrays have convenience attributes such that
fields may be accessed through "." in additioin to
the "field()" method. These attributes are designed for
read only; one cannot alter the data through them.
Yet they are writeable:
>>> tr=numpy.recarray(10, formats='i4,f8,f8', names=
El dv 16 de 06 del 2006 a les 14:46 -0700, en/na Andrew Straw va
escriure:
> Erin Sheldon wrote:
>
> >Anyway - Recarrays have convenience attributes such that
> >fields may be accessed through "." in additioin to
> >the "field()" method. These attributes are designed for
> >read only; one cannot
Hello all
On Fri, 16 Jun 2006, Travis Oliphant wrote:
> I just updated the array interface page to emphasize we now have version
> 3. NumPy still supports objects that expose (the C-side) of version 2
> of the array interface, though.
> Please voice concerns now if you have any.
In the d
On 6/17/06, Francesc Altet <[EMAIL PROTECTED]> wrote:
> However, I think that this has its utility, specially when accessing to
> nested fields (see later). In addition, I'd suggest introducing a
> special accessor called, say, 'fields' in order to access the fields
> themselves and not the attrib
How about this?
def d5():
return add.outer(sum(A*A, axis=1), sum(B*B, axis=1)) - \
2.*dot(A, transpose(B))
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Alex Cannon wrote:
> How about this?
>
> def d5():
> return add.outer(sum(A*A, axis=1), sum(B*B, axis=1)) - \
> 2.*dot(A, transpose(B))
You might lose some precision with that approach, so the OP should compare
results and timings to look at the tradeoffs.
--
Rob
This reply sent 9:36 AM, Jun 17 (because it may not show up
for a day or so from my gmail account, if it shows up at all)
On 6/17/06, Francesc Altet <[EMAIL PROTECTED]> wrote:
> El dv 16 de 06 del 2006 a les 14:46 -0700, en/na Andrew Straw va
> escriure:
> > Erin Sheldon wrote:
> >
> > >Anyway - R
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