Thank you for your reply very much indeed. :)
I guessed it could somehow so..., though I thought it could be somwhat
simpler (not saying that your solution is too complicated :))
Ruda

On 01/03/07, David M. Cooke <[EMAIL PROTECTED]> wrote:

On Mar 1, 2007, at 13:33 , Rudolf Sykora wrote:

> Hello,
>
> since noone has reacted to my last e-mail yet (for several days), I
> feel the need to ask again (since I still do not know a good answer).
> Please help me.
>
> >> Hello everybody,
> >> I wonder how I could most easily accomplish the following:
> >>
> >>Say I have sth like:
> >> a = array( [1, 2] )
> >> and I want to use this array to build another array in the
> following sence:
> >> b = array( [[1, 2, 3, a], [5, a, 6, 7], [0, 2-a, 3, 4]])  # this
> doesn't work
> >>
> >> I would like to obtain
> >> b = array( [[1, 2, 3, 1, 2],  [5 ,1 ,2 ,6 ,7], [0, 1, 0, 3, 4]] )
>
> >> I know a rather complicated way but believe there must be an
> easy one.
> >> Thank you very much.
>
> >> Ruda
>
> I would need some sort of flattening operator...
> The solution I know is very ugly:
>
>  b = array(( concatenate(([1, 2, 3], a)), concatenate(([5], a, [6,
> 7])), concatenate(([0], 2-a, [3, 4])) ))

Define a helper function

def row(*args):
     res = []
     for a in args:
         a = asarray(a)
         if len(a.shape) == 0:
             res.append(a)
         elif len(a.shape) == 1:
             res += a.tolist()
         else:
             raise ValueError("arguments to row must be row-like")
     return array(res)

then

b = array([ row(1,2,3,a), row(5,a,6,7), row(0,2-a,3,4) ])

--
|>|\/|<
/------------------------------------------------------------------\
|David M. Cooke              http://arbutus.physics.mcmaster.ca/dmc/
|[EMAIL PROTECTED]


_______________________________________________
Numpy-discussion mailing list
Numpy-discussion@scipy.org
http://projects.scipy.org/mailman/listinfo/numpy-discussion



_______________________________________________
Numpy-discussion mailing list
Numpy-discussion@scipy.org
http://projects.scipy.org/mailman/listinfo/numpy-discussion

Reply via email to