On Mon, Jul 10, 2017 at 8:46 AM Yarko Tymciurak wrote:

On Mon, Jul 10, 2017 at 8:37 AM 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, 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-...

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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