I have a list like [[1,4],[3,9],[2,5],[3,2]]. How can I sort the list
based on the second value in the item?
That is,
I want the list to be:
[[3,2],[1,4],[2,5],[3,9]]
11  1672 
Shi Mu wrote: I have a list like [[1,4],[3,9],[2,5],[3,2]]. How can I sort the list
based on the second value in the item?
That is,
I want the list to be:
[[3,2],[1,4],[2,5],[3,9]] lst = [[1,4],[3,9],[2,5],[3,2]]
lst
[[1, 4], [3, 9], [2, 5], [3, 2]]
lst.sort(cmp = lambda x,y: cmp(x[1], y[1]))
lst
[[3, 2], [1, 4], [2, 5], [3, 9]]
works for Python 2.4
in earlier Pythons just let cmp = .. away
Regards, Daniel
Shi Mu wrote: I have a list like [[1,4],[3,9],[2,5],[3,2]]. How can I sort the list
based on the second value in the item?
That is,
I want the list to be:
[[3,2],[1,4],[2,5],[3,9]] lst = [[1,4],[3,9],[2,5],[3,2]]
lst
[[1, 4], [3, 9], [2, 5], [3, 2]]
lst.sort(cmp = lambda x,y: cmp(x[1], y[1]))
lst
[[3, 2], [1, 4], [2, 5], [3, 9]]
works for Python 2.4
in earlier Pythons just let cmp = .. away
Regards, Daniel
On 11/21/05, Daniel Schüle <uv**@rz.uni-karlsruhe.de> wrote: Shi Mu wrote: I have a list like [[1,4],[3,9],[2,5],[3,2]]. How can I sort the list
based on the second value in the item?
That is,
I want the list to be:
[[3,2],[1,4],[2,5],[3,9]]
>>> lst = [[1,4],[3,9],[2,5],[3,2]]
>>> lst [[1, 4], [3, 9], [2, 5], [3, 2]] >>>
>>>
>>> lst.sort(cmp = lambda x,y: cmp(x[1], y[1]))
>>> lst [[3, 2], [1, 4], [2, 5], [3, 9]] >>>
works for Python 2.4
in earlier Pythons just let cmp = .. away
Regards, Daniel
what does let cmp = .. away mean?
On 11/21/05, Daniel Schüle <uv**@rz.uni-karlsruhe.de> wrote: Shi Mu wrote: I have a list like [[1,4],[3,9],[2,5],[3,2]]. How can I sort the list
based on the second value in the item?
That is,
I want the list to be:
[[3,2],[1,4],[2,5],[3,9]]
>>> lst = [[1,4],[3,9],[2,5],[3,2]]
>>> lst [[1, 4], [3, 9], [2, 5], [3, 2]] >>>
>>>
>>> lst.sort(cmp = lambda x,y: cmp(x[1], y[1]))
>>> lst [[3, 2], [1, 4], [2, 5], [3, 9]] >>>
works for Python 2.4
in earlier Pythons just let cmp = .. away
Regards, Daniel
what does let cmp = .. away mean?
Daniel Schüle <uv**@rz.uni-karlsruhe.de> wrote: lst.sort(lambda x,y: cmp(x[1], y[1]))
Since no-one mentioned it and its a favourite of mine, you can use the
decorate-sort-undecorate method, or "Schwartzia n Transform"
eg
lst = [[1,4],[3,9],[2,5],[3,2]]
# decorate - ie make a copy of each item with the key(s) first and the
# actual object last
L = [ (x[1],x) for x in lst ]
# sort
L.sort()
# undecorate
L = [ x[-1] for x in L ]
The Schwartzian transform is especially good when making the key is
expensive - it only needs to be done N times, wheras a typical sort
routine will call the cmp function N log N times. Its expensive in
terms of memory though.
With python 2.4 you can wrap it up into one line if you want
[ x[-1] for x in sorted([ (x[1],x) for x in lst ]) ]
or even
[ x[-1] for x in sorted((x[1],x) for x in lst) ]
--
Nick Craig-Wood <ni**@craig-wood.com> -- http://www.craig-wood.com/nick
Nick Craig-Wood: Since no-one mentioned it and its a favourite of mine, you can use the
decorate-sort-undecorate method, or "Schwartzia n Transform"
That is what the aforementioned key argument to sort is: a built-in
decorate-sort-undecorate. lst = [[1,4],[3,9],[2,5],[3,2]]
print lst
[[1, 4], [3, 9], [2, 5], [3, 2]] lst.sort(key=la mbda x: x[1])
print lst
[[3, 2], [1, 4], [2, 5], [3, 9]]
Neil
Neil Hodgson wrote: Since no-one mentioned it and its a favourite of mine, you can use the
decorate-sort-undecorate method, or "Schwartzia n Transform"
That is what the aforementioned key argument to sort is: a built-in
decorate-sort-undecorate.
And crucially it is a built-in DSU which gets it right more often than
naive DSU implementations .
e.g. it is stable when you reverse the order: lst = [[4,1],[4,2],[9,3],[5,4],[2,5]]
list(reversed([ x[-1] for x in sorted([ (x[0],x) for x in lst ]) ]))
[[9, 3], [5, 4], [4, 2], [4, 1], [2, 5]] l1 = list(lst)
l1.sort(key=ope rator.itemgette r(0), reverse=True)
l1
[[9, 3], [5, 4], [4, 1], [4, 2], [2, 5]]
and it gets incomparable objects right:
lst = [4+1j, 4+2j, 9+3j, 5+4j, 2+5j]
[ x[-1] for x in sorted([ (x.real,x) for x in lst ]) ]
Traceback (most recent call last):
File "<pyshell#3 9>", line 1, in -toplevel-
[ x[-1] for x in sorted([ (x.real,x) for x in lst ]) ]
TypeError: no ordering relation is defined for complex numbers l1 = list(lst)
l1.sort(key=ope rator.attrgette r('real'))
l1
[(2+5j), (4+1j), (4+2j), (5+4j), (9+3j)]
Duncan Booth wrote: e.g. it is stable when you reverse the order:
lst = [[4,1],[4,2],[9,3],[5,4],[2,5]]
list(reversed([ x[-1] for x in sorted([ (x[0],x) for x in lst ]) ])) [[9, 3], [5, 4], [4, 2], [4, 1], [2, 5]] l1 = list(lst)
l1.sort(key=ope rator.itemgette r(0), reverse=True)
l1
[[9, 3], [5, 4], [4, 1], [4, 2], [2, 5]]
Just curious, which one is supposed to be the right answer ? and why
the second one is preferable over the first one(if both is right,
assume we only care about x[0]).
Of course, there is no reason to DIY when the built-in can do the job. bo****@gmail.co m wrote: Duncan Booth wrote: e.g. it is stable when you reverse the order:
>>> lst = [[4,1],[4,2],[9,3],[5,4],[2,5]]
>>> list(reversed([ x[-1] for x in sorted([ (x[0],x) for x in lst ]) ]))
[[9, 3], [5, 4], [4, 2], [4, 1], [2, 5]] >>> l1 = list(lst)
>>> l1.sort(key=ope rator.itemgette r(0), reverse=True)
>>> l1
[[9, 3], [5, 4], [4, 1], [4, 2], [2, 5]]
Just curious, which one is supposed to be the right answer ? and why
the second one is preferable over the first one(if both is right,
assume we only care about x[0]).
Of course, there is no reason to DIY when the built-in can do the job.
"Stability" means items with the same key preserve their relative position.
In the original list of the example [4, 1] and [4, 2] both have the same
key. Therefore [4, 1] should stay before [4, 2], so the second is the
"right" answer.
The practical advantage is that if e. g. you sort items first by color and
then by size, items of the same size will appear sorted by color. In
particular, sorting a list by the same key a second time does not change
the list.
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