Thanks all. chao
2012/1/27 Tony Yu <tsy...@gmail.com> > > > On Fri, Jan 27, 2012 at 9:28 AM, Paul Anton Letnes < > paul.anton.let...@gmail.com> wrote: > >> >> On 27. jan. 2012, at 14:52, Chao YUE wrote: >> >> > Dear all, >> > >> > suppose I have a ndarray a: >> > >> > In [66]: a >> > Out[66]: array([0, 1, 2, 3, 4]) >> > >> > how can use it as 5X1 array without doing a=a.reshape(5,1)? >> >> Several ways, this is one, although not much simpler. >> In [6]: a >> Out[6]: array([0, 1, 2, 3, 4]) >> >> In [7]: a.shape = 5, 1 >> >> In [8]: a >> Out[8]: >> array([[0], >> [1], >> [2], >> [3], >> [4]]) >> >> Paul >> >> > I'm assuming your issue with that call to reshape is that you need to know > the dimensions beforehand. An alternative is to call: > > >>> a.reshape(-1, 1) > > The "-1" allows numpy to "infer" the length based on the given sizes. > > Another alternative is: > > >>> a[:, np.newaxis] > > -Tony > > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion > > -- *********************************************************************************** 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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