[Numpy-discussion] howto reduce along arbitrary axis

[Chao YUE]

Hi Neal,

I forward you this mail which I think might be of help to your question.

Chao

---------- Forwarded message ----------
From: Chao YUE <chaoyuejoy at gmail.com>
Date: Sat, Mar 16, 2013 at 5:40 PM
Subject: indexing of arbitrary axis and arbitrary slice?
To: Discussion of Numerical Python <numpy-discussion at scipy.org>


Dear all,

Is there some way to index the numpy array by specifying arbitrary axis and
arbitrary slice, while
not knowing the actual shape of the data?
For example, I have a 3-dim data, data.shape = (3,4,5)
Is there a way to retrieve data[:,0,:] by using something like
np.retrieve_data(data,axis=2,slice=0),
by this way you don't have to know the actual shape of the array.
for for 4-dim data, np.retrieve_data(data,axis=2,slice=0) will actually be
data[:,0,:,:]

thanks in advance,

Chao

-- 
***********************************************************************************
Chao YUE
Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL)
UMR 1572 CEA-CNRS-UVSQ
Batiment 712 - Pe 119
91191 GIF Sur YVETTE Cedex
Tel: (33) 01 69 08 29 02; Fax:01.69.08.77.16
************************************************************************************



-- 
***********************************************************************************
Chao YUE
Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL)
UMR 1572 CEA-CNRS-UVSQ
Batiment 712 - Pe 119
91191 GIF Sur YVETTE Cedex
Tel: (33) 01 69 08 29 02; Fax:01.69.08.77.16
************************************************************************************
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