I see, thanks! 2015-01-05 2:14 GMT-07:00 Sebastian Berg <sebast...@sipsolutions.net>:
> On Mo, 2015-01-05 at 14:13 +0530, Maniteja Nandana wrote: > > Hi Anthony, > > > > > > I am not sure whether the following section in documentation is > > relevant to the behavior you were referring to. > > > > > > When an ellipsis (...) is present but has no size (i.e. replaces > > zero :) the result will still always be an array. A view if no > > advanced index is present, otherwise a copy. > > > > Exactly. There are actually three forms of indexing to distinguish. > > 1. Indexing with integers (also scalar arrays) matching the number of > dimensions. This will return a *scalar*. > 2. Slicing, etc. which returns a view. This also occurs as soon there is > an ellipsis in there (even if it replaces 0 `:`). You should see it as a > feature to get a view if the result might be a scalar otherwise ;)! > 3. Advanced indexing which cannot be view based and returns a copy. > > - Sebastian > > > > Here, ...replaces zero : > > > > > > > > Advanced indexing always returns a copy of the data (contrast with > > basic slicing that returns a view). > > And I think it is a view that is returned in this case. > > > > > > >>> a = array([1]) > > >>>a > > array([1]) > > >>>a[:,0] # zero : are present > > Traceback (most recent call last): > > File "<stdin>", line 1, in <module> > > IndexError: too many indices for array > > >>>a[...,0]=2 > > >>>a > > array([2]) > > >>>a[0] = 3 > > >>>a > > array([3]) > > >>>a[(0,)] = 4 > > >>>a > > array([4]) > > >>>a[: > > array([1]) > > > > > > Hope I helped. > > > > > > Cheers, > > N.Maniteja. > > _______________________________________________ > > NumPy-Discussion mailing list > > NumPy-Discussion@scipy.org > > http://mail.scipy.org/mailman/listinfo/numpy-discussion > > > > > > > > _______________________________________________ > > NumPy-Discussion mailing list > > NumPy-Discussion@scipy.org > > http://mail.scipy.org/mailman/listinfo/numpy-discussion > > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion > >
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