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Alex Rivera
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I've got a large one-dimensional array of integers I need to take slices off. That's trivial, I'd just do a[start:end] . The problem is that I need more of these slices. a[start:end] does not work if start and end are arrays. For loop could be used for this, but I need it to be as fast as possible (it is a bottleneck), so a native numpy solution would be welcome. To further illustrate, I have this: a = numpy.array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11], numpy.int16) start = numpy.array([1, 5, 7], numpy.int16) end = numpy.array([2, 10, 9], numpy.int16) And need to somehow make it into this: [[1], [5, 6, 7, 8, 9], [7, 8]]
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