date:20160323

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

2016-03-23 Thread Ibrahim EL MEREHBI


As an object, will it change how numpy operates?

Sincerely Yours,
Bob

On 23/03/2016 15:22, Sebastian Berg wrote:

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
 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.

Oh sorry, nvm. As an object array, it works of course



 -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


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

2016-03-23 Thread Sebastian Berg

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
>  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.

Oh sorry, nvm. As an object array, it works of course


> -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
> > 
> > 
> > 
> > 
> > ___
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> > 
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Re: [Numpy-discussion] Multi-dimensional array of splitted array

2016-03-23 Thread Sebastian Berg

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
>  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
> > 
> ___
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Re: [Numpy-discussion] Multi-dimensional array of splitted array

2016-03-23 Thread Joseph Fox-Rabinovitz

On Wed, Mar 23, 2016 at 9:37 AM, Ibrahim EL MEREHBI
 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 
> 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
>>
>
>
>
> ___
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>
>
>
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Re: [Numpy-discussion] Multi-dimensional array of splitted array

2016-03-23 Thread Ibrahim EL MEREHBI

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)


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 
> 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


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

2016-03-23 Thread Eric Moore

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

2016-03-23 Thread Ibrahim EL MEREHBI


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

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

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

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

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

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

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

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

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