I thought I understood Python slicing operations, but when I tried to update a sliced list, I got confused:
>>> foo = [1, 2, 3, 4]
>>> foo[:1]
This is because python does not have l-values that could be assigned. Instead, some expressions have an assignment form, which is different.
A foo[something]
is a syntactic sugar for:
foo.__getitem__(something)
but a foo[something] = bar
is a syntactic sugar for rather different:
foo.__setitem__(something, bar)
Where a slice is just a special case of something
, so that foo[x:y]
expands to
foo.__getitem__(slice(x, y, None))
and foo[x:y] = bar
expands to
foo.__setitem__(slice(x, y, None), bar)
Now a __getitem__
with slice returns a new list that is a copy of the specified range, so modifying it does not affect the original array. And assigning works by the virtue of __setitem__
being a different method, that can simply do something else.
However the special assignment treatment applies only to the outermost operation. The constituents are normal expressions. So when you write
foo[:][1] = 'two'
it gets expanded to
foo.__getitem__(slice(None, None, None)).__setitem__(1, 'two')
the foo.__getitem__(slice(None, None, None))
part creates a copy and that copy is modified by the __setitem__
. But not the original array.