On Sat, Mar 30, 2013 at 11:01 AM, Ivan Oseledets <ivan.oseled...@gmail.com>wrote:
> I am using numpy 1.6.1, > and encountered a wierd fancy indexing bug: > > import numpy as np > c = np.random.randn(10,200,10); > > In [29]: print c[[0,1],:200,:2].shape > (2, 200, 2) > > In [30]: print c[[0,1],:200,[0,1]].shape > (2, 200) > > It means, that here fancy indexing is not working right for a 3d array. > It is working fine, review the docs: http://docs.scipy.org/doc/numpy/reference/arrays.indexing.html#advanced-indexing In your return, item [0, :] is c[0, :, 0] and item[1, :]is c[1, :, 1]. If you want a return of shape (2, 200, 2) where item [i, :, j] is c[i, :, j] you could use slicing: c[:2, :200, :2] or something more elaborate like: c[np.arange(2)[:, None, None], np.arange(200)[:, None], np.arange(2)] Jaime > > Is this bug fixed with higher versions of numpy? > I do not check, since mine is from EPD and is compiled with MKL (and I > can consider recompiling myself only under strong circumstances) > > Ivan > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion > -- (\__/) ( O.o) ( > <) Este es Conejo. Copia a Conejo en tu firma y ayúdale en sus planes de dominación mundial.
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