Comments (2)
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.
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.
Related Issues (20)
- Masked arrays for typed arrays HOT 8
- Docs should say that hi/lo accept nulls HOT 7
- Docs for hi/lo are confusing HOT 8
- Docs for transpose are wrong HOT 2
- Dot product HOT 3
- Buffer problems
- load a series of images as a volume HOT 1
- How to convert an ndarray back to a buffer/array/…? HOT 2
- Any standard way to `unindex` ? HOT 2
- deleted
- ndarray.set the i, j vector HOT 4
- Code generation HOT 3
- Convert to JS Array? HOT 6
- ndarray not getting value as expected. HOT 2
- Validate input for get method (and others potentially)
- GPU support HOT 1
- Use Proxies to make indexable ndarrays HOT 5
- implementing ndarray in C++ for performance HOT 2
- hi and lo are behaving unexpectedly
- how to reshape a ndarray? HOT 6
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from ndarray.