[Numpy-discussion] Multi-dimensional array of splitted array

[Joseph Fox-Rabinovitz]

On Wed, Mar 23, 2016 at 9:37 AM, Ibrahim EL MEREHBI
<bobmerhebi at gmail.com> wrote:
> Thanks Eric. I already checked that. It's not what I want. I think I wasn't
> clear about what I wanted.
>
> I want to split each column but I want to do it for each column and end up
> with an array. Here's the result I wish to have:
>
> array([[[0], [1, 2, 3, 4], [5, 6, 7], [8, 9]],
>        [[10], [11, 12, 13, 14], [15, 16, 17], [18, 19]],
>        [[20], [21, 21, 23, 24], [25, 26, 27], [28, 29]]], dtype=object)
>

Apply [`np.stack`](http://docs.scipy.org/doc/numpy-1.10.0/reference/generated/numpy.stack.html#numpy.stack)
to the result. It will merge the arrays the way you want.

    -Joe

>
> Sincerely Yours,
> Bob
>
>
>
> On 23/03/2016 14:17, Eric Moore wrote:
>
> Try just calling np.array_split on the full 2D array.  It splits along a
> particular axis, which is selected using the axis argument of
> np.array_split.  The axis to split along defaults to the first so the two
> calls to np.array_split below are exactly equivalent.
>
> In [16]: a = np.c_[:10,10:20,20:30]
>
>
> In [17]: np.array_split(a, [2,5,8])
>
> Out[17]:
>
> [array([[ 0, 10, 20],
>
> [ 1, 11, 21]]), array([[ 2, 12, 22],
>
> [ 3, 13, 23],
>
> [ 4, 14, 24]]), array([[ 5, 15, 25],
>
> [ 6, 16, 26],
>
> [ 7, 17, 27]]), array([[ 8, 18, 28],
>
> [ 9, 19, 29]])]
>
>
> In [18]: np.array_split(a, [2,5,8], 0)
>
> Out[18]:
>
> [array([[ 0, 10, 20],
>
> [ 1, 11, 21]]), array([[ 2, 12, 22],
>
> [ 3, 13, 23],
>
> [ 4, 14, 24]]), array([[ 5, 15, 25],
>
> [ 6, 16, 26],
>
> [ 7, 17, 27]]), array([[ 8, 18, 28],
>
> [ 9, 19, 29]])]
>
>
> Eric
>
>
>
> On Wed, Mar 23, 2016 at 9:06 AM, Ibrahim EL MEREHBI <bobmerhebi at gmail.com>
> wrote:
>>
>> Hello,
>>
>> I have a multi-diensional array that I would like to split its columns.
>>
>> For example consider,
>>
>> dat = np.array([np.arange(10),np.arange(10,20), np.arange(20,30)]).T
>>
>> array([[ 0, 10, 20],
>>        [ 1, 11, 21],
>>        [ 2, 12, 22],
>>        [ 3, 13, 23],
>>        [ 4, 14, 24],
>>        [ 5, 15, 25],
>>        [ 6, 16, 26],
>>        [ 7, 17, 27],
>>        [ 8, 18, 28],
>>        [ 9, 19, 29]])
>>
>>
>> I already can split one column at a time:
>>
>> np.array_split(dat[:,0], [2,5,8])
>>
>> [array([0, 1]), array([2, 3, 4]), array([5, 6, 7]), array([8, 9])]
>>
>>
>> How can I extend this for all columns and (overwrite or) have a new
>> multi-dimensional array?
>>
>> Thank you,
>> Bob
>>
>>
>> _______________________________________________
>> NumPy-Discussion mailing list
>> NumPy-Discussion at scipy.org
>> https://mail.scipy.org/mailman/listinfo/numpy-discussion
>>
>
>
>
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