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mikolalysenko avatar mikolalysenko commented on September 15, 2024

Yeah, I agree this could use some better explanation. What helps is to draw a picture, where you can imagine that lo shifts the upper left corner inwards some amount, and that hi moves the lower right corner. So for example, if you want to cut out an interval [8,10) in a 1D array you could do,

x.lo(8).hi(2)

Or

x.hi(10).lo(8)

If I ever get around to presenting this stuff, I will go through and make all the necessary graphics to explain how this works.

from ndarray.

letmaik avatar letmaik commented on September 15, 2024

I was confused myself just now looking at the docs. I think it would be immensly useful to add a concrete example for lo() and hi(), and as it's so close to numpy ndarray, maybe add a relation to it. Like:
x.hi(10).lo(8) is equal to x[8:10]

from ndarray.

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