On Mi, 2016-03-23 at 10:02 -0400, Joseph Fox-Rabinovitz wrote: > On Wed, Mar 23, 2016 at 9:37 AM, Ibrahim EL MEREHBI > <bobmerh...@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/g > enerated/numpy.stack.html#numpy.stack) > to the result. It will merge the arrays the way you want. >
It is simply impossible to stack those arrays like he wants, it is not a valid array. - Sebastian > -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 < > > bobmerh...@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@scipy.org > > > https://mail.scipy.org/mailman/listinfo/numpy-discussion > > > > > > > > > > > _______________________________________________ > > NumPy-Discussion mailing list > > NumPy-Discussion@scipy.org > > https://mail.scipy.org/mailman/listinfo/numpy-discussion > > > > > > > > > > _______________________________________________ > > NumPy-Discussion mailing list > > NumPy-Discussion@scipy.org > > https://mail.scipy.org/mailman/listinfo/numpy-discussion > > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > https://mail.scipy.org/mailman/listinfo/numpy-discussion >
signature.asc
Description: This is a digitally signed message part
_______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org https://mail.scipy.org/mailman/listinfo/numpy-discussion