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tannevaled merged 2 commits into from
Nov 4, 2026
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NDArray: document the axis, positional and axis: #45

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NDArray: document the axis, which reductions have accepted by keyword…
tannevaled Nov 4, 2026
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Merge main: the 23,672 figure refresh and the widened vocabulary
tannevaled Nov 4, 2026
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16 changes: 12 additions & 4 deletions content/en/scientific-stack.md
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Expand Up @@ -33,13 +33,21 @@ p Math.hypot(3, 4) # => 5.0
Binds [go-ndarray](https://github.com/go-ndarray/ndarray): constructors
`zeros`/`ones`/`full`/`arange`/`from`, element-wise `+ - * /` with scalar
broadcasting, ufuncs (`sqrt`/`exp`/`log`/`sin`/`cos`/`abs`), reductions
(`sum`/`mean`/`max`/`min`/`prod`/`argmax`/`argmin`), `matmul`/`dot`,
`transpose`/`reshape`/`flatten`, and `shape`/`to_a`/`[]`.
(`sum`/`mean`/`max`/`min`/`prod`/`argmax`/`argmin`) and `cumsum`,
`matmul`/`dot`, `transpose`/`reshape`/`flatten`, and `shape`/`to_a`/`[]`.

A reduction with no axis collapses the whole array; with an axis it reduces
along it. The axis may be given positionally or by keyword, the way NumPy
spells it — `a.sum(0)` and `a.sum(axis: 0)` are the same call, and giving both
at once raises `ArgumentError`. `keepdims: true` keeps the reduced axes at
length 1.

```ruby
a = NDArray.arange(0, 6).reshape(2, 3)
p a.sum # => 15.0
p a.transpose.shape # => [3, 2]
p a.sum # => 15.0
p a.sum(axis: 0).to_a # => [3.0, 5.0, 7.0]
p a.argmax(axis: 1).to_a # => [2.0, 2.0]
p a.transpose.shape # => [3, 2]
```

## FFT — numpy.fft-style transforms {#fft-numpyfft-style-transforms}
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