What were your conclusions after experimenting with chained ufuncs?

If the speed is comparable to numexpr, wouldn’t it be `nicer` to have 
non-string input format?

It would feel a bit less like a black-box.

Regards,
DG

> On 15 Feb 2024, at 22:52, Marten van Kerkwijk <m...@astro.utoronto.ca> wrote:
> 
> Hi Oyibo,
> 
>> I'm proposing the introduction of a `pipe` method for NumPy arrays to 
>> enhance their usability and expressiveness.
> 
> I think it is an interesting idea, but agree with Robert that it is
> unlikely to fly on its own.  Part of the logic of even frowning on
> methods like .mean() and .sum() is that ndarray is really a data
> container, and should have methods related to that, as much as possible
> independent of the meaning of those data (which is given by the dtype).
> 
> A bit more generally, your example is nice, but a pipe can have just one
> input, while of course many operations require two or more.
> 
>> - Optimization: While NumPy may not currently optimize chained
>> expressions, the introduction of pipe lays the groundwork for
>> potential future optimizations with lazy evaluation.
> 
> Optimization might indeed be made possible, though I would think that
> for that one may be better off with something like dask.
> 
> That said, I've been playing with the ability to chain ufuncs to
> optimize their execution, by applying the ufuncs in series on small
> pieces of larger arrays, thus avoiding large temporaries (a bit like
> numexpr but with the idea of defining a fast function rather than giving
> an expression as a string); see https://github.com/mhvk/chain_ufunc
> 
> All the best,
> 
> Marten
> 
> 
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