[Numpy-discussion] reshape 2D array into 3D

[Yarko Tymciurak]

On Mon, Jul 10, 2017 at 8:46 AM Yarko Tymciurak <yarkot1 at gmail.com> wrote:

> On Mon, Jul 10, 2017 at 8:37 AM <paul.carrico at free.fr> wrote:
>
>> Thanks
>>
>>
>> Nevertheless it does not work for me and I suspect the python/numpy
>> releases :-(
>>
>> The server on which I'm working on is under Contos 7 that uses python 2.7
>> et numpy 1.7 from memory ; I tried to upgrade both of them (plus spyder)
>> but it fails.
>>
>
Question:

Did you try to control the python & numpy versions by creating a
virtualenv, or a conda env?


I didn't want to impact the other solvers installed on, so I stopped
>>
>> Paul
>>
>> a = np.arange(40).reshape(5, 8); print(a)
>> print("b =")
>> b = np.lib.stride_tricks.as_strided(a, (2, 5, 4), (16, 32, 4)); print(b)
>>
>> [[ 0 1 2 3 4 5 6 7]
>> [ 8 9 10 11 12 13 14 15]
>> [16 17 18 19 20 21 22 23]
>> [24 25 26 27 28 29 30 31]
>> [32 33 34 35 36 37 38 39]]
>> b =
>> [[[ 0 4294967296 1 8589934592]
>> [ 4 21474836480 5 25769803776]
>> [ 8 38654705664 9 42949672960]
>> [ 12 55834574848 13 60129542144]
>> [ 16 73014444032 17 77309411328]]
>>
>> [[ 2 12884901888 3 17179869184]
>> [ 6 30064771072 7 34359738368]
>> [ 10 47244640256 11 51539607552]
>> [ 14 64424509440 15 68719476736]
>> [ 18 81604378624 19 85899345920]]]
>>
>>
>>
>>
>> Le 2017-07-10 15:16, eat a écrit :
>>
>> Hi,
>>
>> On Mon, Jul 10, 2017 at 3:20 PM, <paul.carrico at free.fr> wrote:
>>
>>> Dear All
>>>
>>> I'm looking in a way to reshape a 2D matrix into a 3D one ; in my
>>> example I want to *move the columns from the 4th to the 8th in the 2nd
>>> plane*  (3rd dimension i guess)
>>>
>>> a =  np.random.rand(5,8); print(a)
>>>
>>> I tried
>>>
>>> a = p.reshape(d, (2,5,4), ) but it is not what I'm expecting
>>>
>>>
>>> Nota : it looks like the following task (while I want to split it in 2
>>> levels and not in 4), but I've not understood at all
>>>
>>>
>>> https://stackoverflow.com/questions/31686989/numpy-reshape-and-partition-2d-array-to-3d
>>>
>> Is this what you are looking for:
>> import numpy as np
>>
>> a= np.arange(40).reshape(5, 8)
>>
>> a
>> Out[]:
>> array([[ 0,  1,  2,  3,  4,  5,  6,  7],
>>        [ 8,  9, 10, 11, 12, 13, 14, 15],
>>        [16, 17, 18, 19, 20, 21, 22, 23],
>>        [24, 25, 26, 27, 28, 29, 30, 31],
>>        [32, 33, 34, 35, 36, 37, 38, 39]])
>>
>> np.lib.stride_tricks.as_strided(a, (2, 5, 4), (16, 32, 4))
>> Out[]:
>> array([[[ 0,  1,  2,  3],
>>         [ 8,  9, 10, 11],
>>         [16, 17, 18, 19],
>>         [24, 25, 26, 27],
>>         [32, 33, 34, 35]],
>>
>>        [[ 4,  5,  6,  7],
>>         [12, 13, 14, 15],
>>         [20, 21, 22, 23],
>>         [28, 29, 30, 31],
>>         [36, 37, 38, 39]]])
>>
>> Regards,
>> -eat
>>
>>>
>>> Thanks for your support
>>>
>>>
>>> Paul
>>>
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>>
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