Hi, I'm trying to extract sub-sections of a multidimensional array while keeping the number of dimensions the same. If I just select a specific element along a given direction, then the number of dimensions goes down by one:
>>> import numpy as np >>> a = np.zeros((10,10,10)) >>> a.shape (10, 10, 10) >>> a[0,:,:].shape (10, 10) This makes sense to me. If I want to retain the initial number of dimensions, I can do >>> a[[0],:,:].shape (1, 10, 10) However, if I try and do this along two directions, I do get a reduction in the number of dimensions: >>> a[[0],:,[5]].shape (1, 10) I'm wondering if this is normal, or is a bug? In fact, I can get what I want by doing: >>> a[[0],:,:][:,:,[5]].shape (1, 10, 1) so I can get around the issue, but just wanted to check whether the issue with a[[0],:,[5]] is a bug? Thanks, Tom _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
