On Thu, Apr 2, 2015 at 11:03 AM, Eric Firing <efir...@hawaii.edu> wrote:
> Fancy indexing is a horrible design mistake--a case of cleverness run > amok. As you can read in the Numpy documentation, it is hard to > explain, hard to understand, hard to remember. Well put! I also failed to correct predict your example. > So I think you should turn the question around and ask, "What is the > actual real-world use case for fancy indexing?" How often does real > code rely on it? I'll just note that Indexing with a boolean array with the same shape as the array (e.g., x[x < 0] when x has greater than 1 dimension) technically falls outside a strict interpretation of orthogonal indexing. But there's not any ambiguity in adding that as an extension to orthogonal indexing (which otherwise does not allow ndim > 1), so I think your point still stands. Stephan
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