On Thu, Apr 2, 2015 at 11:03 AM, Eric Firing <efiring@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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