On 2019-02-20 10:10, Steven D'Aprano wrote:
> Or if you're worried about the line length:
> result = function(mystr.strip()
> .expandtabs()
> .lower()
> .replace('ham', 'spam')
> I think
It seems that this fluency discussion, and the vector discussion is
similar; I made a toy class [1] to demonstrate. It is much like
DavidMertz's vector [2], but focused on chained methods .
The `vector()` method lets us enter "vector mode". There are methods
that act on elements (eg. map), methods that act on the whole (eg.
sort), and methods that exit vector mode (eg. list).
output = vector([3, 2, 1]).append(4).sort().limit(10).list()
Fluency can be had by entering vector mode on a singleton list:
output = (
vector([mystr])
.strip()
.expandtabs()
.lower()
.replace("ham", "spam")
.map(function)
.first()
)
Given vector() is quite succinct, and Numpy and Pandas do vector
operations elegantly already, I do not think there is need for
vectorized operators or fluency operators in Python.
[1] My toy class -
https://github.com/klahnakoski/mo-vector/blob/master/mo_vector/__init__.py
[2] DavidMertz vector 0-
https://github.com/DavidMertz/stringpy/blob/master/vector.py
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