Piet van Oostrum wrote:
> Hi,
>
> I am looking for an elegant way to write the following code as a list
> comprehension:
>
> labels = []
> for then, name in mylist:
> _, mn, dy, _, _, _, wd, _, _ = localtime(then)
> labels.append(somefunc(mn, day, wd, name))
>
> So mylist is a list of tuples, the first member of the tuple is a time
> (as epoch offset) and I neeed to apply a function on some fields of the
> localtime of it.
>
> I could define a auxiliary function like:
>
> def auxfunc(then, name):
> _, mn, dy, _, _, _, wd, _, _ = localtime(then)
> return somefunc(mn, day, wd, name)
>
> and then use
> [auxfunc(then, name) for then, name in mylist]
>
> or even
> [auxfunc(*tup) for tup in mylist]
>
> But defining the auxfunc takes away the elegance of a list comprehension.
> I would like to integrate the unpacking of localtime() and calling
> somefunc within the list comprehension, but I don't see a simple way to do
> that.
>
> somefunc(mn, day, wd, name) for _, mn, dy, _, _, _, wd, _, _ in
> [localtime(then)] (i.e. using a list comprehension on a one element list
> to do the variable shuffling) works but I don't find that very elegant.
>
> labels = [somefunc(mn, day, wd, name)
> for then, name in mylist
> for _, mn, dy, _, _, _, wd, _, _ in [localtime(then)]]
>
> Python misses a 'where' or 'let'-like construction as in Haskell.
>
> Anybody has a more elegant solution?
Options I can think of:
You could do it in two steps...
time_name_pairs = ((localtime(then), name) for then, name in mylist)
labels = [somefunc(t.tm_mon, t.tm_mday, t.tm_wday, name)
for t, name in time_name_pairs]
...or you could inline the helper function...
mon_mday_wday = operator.attrgetter("tm_mon", "tm_day", "tm_wday")
labels = [somefunc(*mon_mday_wday(localtime(then)), name=name)
for then, name in mylist]
-- but both seem less readable than the classical for-loop.
What would a list-comp with `let` or `where` look like? Would it win the
beauty contest against the loop?
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