Sebastian Haase wrote:
> On 3/22/07, Stefan van der Walt <[EMAIL PROTECTED]> wrote:
>> On Thu, Mar 22, 2007 at 08:13:22PM -0400, Brian Blais wrote:
>>> Hello,
>>>
>>> I'd like to concatenate a couple of 1D arrays to make it a 2D array, with
>>> two columns
>>> (one for each of the original 1D arrays). I thought this would work:
>>>
>>>
>>> In [47]:a=arange(0,10,1)
>>>
>>> In [48]:a
>>> Out[48]:array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
>>>
>>> In [49]:b=arange(-10,0,1)
>>>
>>> In [51]:b
>>> Out[51]:array([-10, -9, -8, -7, -6, -5, -4, -3, -2, -1])
>>>
>>> In [54]:concatenate((a,b))
>>> Out[54]:
>>> array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, -10, -9, -8,
>>> -7, -6, -5, -4, -3, -2, -1])
>>>
>>> In [55]:concatenate((a,b),axis=1)
>>> Out[55]:
>>> array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, -10, -9, -8,
>>> -7, -6, -5, -4, -3, -2, -1])
>>>
>>>
>>> but it never expands the dimensions. Do I have to do this...
>>>
>>> In [65]:concatenate((a.reshape(10,1),b.reshape(10,1)),axis=1)
>>> Out[65]:
>>> array([[ 0, -10],
>>> [ 1, -9],
>>> [ 2, -8],
>>> [ 3, -7],
>>> [ 4, -6],
>>> [ 5, -5],
>>> [ 6, -4],
>>> [ 7, -3],
>>> [ 8, -2],
>>> [ 9, -1]])
>>>
>>>
>>> ?
>>>
>>> I thought there would be an easier way. Did I overlook something?
>> How about
>>
>> N.vstack((a,b)).T
>>
> Also mentioned here should be the use of
> newaxis.
> As in
> a[:,newaxis]
>
> However I never got a "good feel" for how to use it, so I can't
> complete the code you would need.
n [9]:c = N.concatenate((a[:,N.newaxis], b[:,N.newaxis]), axis=1)
In [10]:c
Out[10]:
array([[ 0, -10],
[ 1, -9],
[ 2, -8],
[ 3, -7],
[ 4, -6],
[ 5, -5],
[ 6, -4],
[ 7, -3],
[ 8, -2],
[ 9, -1]])
>
> -Sebastian Haase
> _______________________________________________
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> Numpy-discussion@scipy.org
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