[Python-ideas] Vectorization [was Re: Add list.join() please]
MRAB
python at mrabarnett.plus.com
Sun Feb 3 18:34:36 EST 2019
On 2019-02-03 22:58, David Mertz wrote:
> >>> len(v) # Number of elements in the Vector `v`
>
>
> Agreed, this should definitely be the behavior. So how do we get a
> vector of lengths of each element?
>
> >>> # Compute the length of each element of the Vector `v`
> >>> v.apply(len)
> >>> v @ len
>
>
> Also possible is:
>
> v.len()
>
> We couldn't do that for every possible function, but this one is special
> inasmuch as we expect the items each to have a .__len__() but don't want
> to spell the dunders. Likewise for just a handful of other
> methods/functions.
>
> The key different though is that *I* would want to a way to use both
> methods already attached to the objects/items. in a vector and also a
> generic user-provided function that operates on the items. I guess you
> disagree about "method pass-through" but it reads more elegantly to me:
>
> >>> # Replace all "a" by "b"
> >>> v.apply(lambda s: s.replace("a", "b"))
> >>> v @ (lambda s: s.replace("a", "b"))
>
>
> Compare these with:
>
> v.replace("a", "b")
>
> Since we already know v is a Vector, we kinda expect methods to be
> vectorized. This feels like the "least surprise" and also the least
> extra code. Moreover, spelling chained methods with many .appy() calls
> (even if spelled '@') feels very cumbersome:
>
Do they need multiple uses of apply and @?
> (A) v.apply(lambda s: s.replace("a", "b")).apply(str.upper).apply(lambda
> s: s.count("B"))
>
v.apply(lambda s: s.replace("a", "b").upper().count("B"))
> (B) v @ lambda s: s.replace("a", "b") @ str.upper @ lambda s: s.count("B")
>
v @ lambda s: s.replace("a", "b").upper().count("B")
> (C) v.replace("a","b").upper().count("B")
>
> Between these, (C) feels a heck of a lot more intuitive and readable to me.
>
[snip]
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