问题:如何将可迭代的内容添加到集合中?
回答 0
您可以像这样list
将a的元素添加set
:
>>> foo = set(range(0, 4))
>>> foo
set([0, 1, 2, 3])
>>> foo.update(range(2, 6))
>>> foo
set([0, 1, 2, 3, 4, 5])
You can add elements of a list
to a set
like this:
>>> foo = set(range(0, 4))
>>> foo
set([0, 1, 2, 3])
>>> foo.update(range(2, 6))
>>> foo
set([0, 1, 2, 3, 4, 5])
回答 1
为了使任何可能相信(例如)aset.add()
在循环中进行的工作都具有竞争优势的人受益,aset.update()
以下示例说明了如何在公开之前快速检验自己的信念:
>\python27\python -mtimeit -s"it=xrange(10000);a=set(xrange(100))" "a.update(it)"
1000 loops, best of 3: 294 usec per loop
>\python27\python -mtimeit -s"it=xrange(10000);a=set(xrange(100))" "for i in it:a.add(i)"
1000 loops, best of 3: 950 usec per loop
>\python27\python -mtimeit -s"it=xrange(10000);a=set(xrange(100))" "a |= set(it)"
1000 loops, best of 3: 458 usec per loop
>\python27\python -mtimeit -s"it=xrange(20000);a=set(xrange(100))" "a.update(it)"
1000 loops, best of 3: 598 usec per loop
>\python27\python -mtimeit -s"it=xrange(20000);a=set(xrange(100))" "for i in it:a.add(i)"
1000 loops, best of 3: 1.89 msec per loop
>\python27\python -mtimeit -s"it=xrange(20000);a=set(xrange(100))" "a |= set(it)"
1000 loops, best of 3: 891 usec per loop
看来循环方法的每项成本是该方法的三倍以上update
。
使用|= set()
成本大约是原来的1.5倍update
,但循环添加每个单独项目的成本却是原来的一半。
For the benefit of anyone who might believe e.g. that doing aset.add()
in a loop would have performance competitive with doing aset.update()
, here’s an example of how you can test your beliefs quickly before going public:
>\python27\python -mtimeit -s"it=xrange(10000);a=set(xrange(100))" "a.update(it)"
1000 loops, best of 3: 294 usec per loop
>\python27\python -mtimeit -s"it=xrange(10000);a=set(xrange(100))" "for i in it:a.add(i)"
1000 loops, best of 3: 950 usec per loop
>\python27\python -mtimeit -s"it=xrange(10000);a=set(xrange(100))" "a |= set(it)"
1000 loops, best of 3: 458 usec per loop
>\python27\python -mtimeit -s"it=xrange(20000);a=set(xrange(100))" "a.update(it)"
1000 loops, best of 3: 598 usec per loop
>\python27\python -mtimeit -s"it=xrange(20000);a=set(xrange(100))" "for i in it:a.add(i)"
1000 loops, best of 3: 1.89 msec per loop
>\python27\python -mtimeit -s"it=xrange(20000);a=set(xrange(100))" "a |= set(it)"
1000 loops, best of 3: 891 usec per loop
Looks like the cost per item of the loop approach is over THREE times that of the update
approach.
Using |= set()
costs about 1.5x what update
does but half of what adding each individual item in a loop does.
回答 2
您可以使用set()函数将一个可迭代对象转换为一个集合,然后使用标准集合更新运算符(| =)将新集合中的唯一值添加到现有集合中。
>>> a = { 1, 2, 3 }
>>> b = ( 3, 4, 5 )
>>> a |= set(b)
>>> a
set([1, 2, 3, 4, 5])
You can use the set() function to convert an iterable into a set, and then use standard set update operator (|=) to add the unique values from your new set into the existing one.
>>> a = { 1, 2, 3 }
>>> b = ( 3, 4, 5 )
>>> a |= set(b)
>>> a
set([1, 2, 3, 4, 5])
回答 3
只是快速更新,使用python 3进行计时:
#!/usr/local/bin python3
from timeit import Timer
a = set(range(1, 100000))
b = list(range(50000, 150000))
def one_by_one(s, l):
for i in l:
s.add(i)
def cast_to_list_and_back(s, l):
s = set(list(s) + l)
def update_set(s,l):
s.update(l)
结果是:
one_by_one 10.184448844986036
cast_to_list_and_back 7.969255169969983
update_set 2.212590195937082
Just a quick update, timings using python 3:
#!/usr/local/bin python3
from timeit import Timer
a = set(range(1, 100000))
b = list(range(50000, 150000))
def one_by_one(s, l):
for i in l:
s.add(i)
def cast_to_list_and_back(s, l):
s = set(list(s) + l)
def update_set(s,l):
s.update(l)
results are:
one_by_one 10.184448844986036
cast_to_list_and_back 7.969255169969983
update_set 2.212590195937082
回答 4
使用列表理解。
使用列表来短路可迭代的创建:)
>>> x = [1, 2, 3, 4]
>>>
>>> k = x.__iter__()
>>> k
<listiterator object at 0x100517490>
>>> l = [y for y in k]
>>> l
[1, 2, 3, 4]
>>>
>>> z = Set([1,2])
>>> z.update(l)
>>> z
set([1, 2, 3, 4])
>>>
[编辑:错过了问题的设定部分]
Use list comprehension.
Short circuiting the creation of iterable using a list for example :)
>>> x = [1, 2, 3, 4]
>>>
>>> k = x.__iter__()
>>> k
<listiterator object at 0x100517490>
>>> l = [y for y in k]
>>> l
[1, 2, 3, 4]
>>>
>>> z = Set([1,2])
>>> z.update(l)
>>> z
set([1, 2, 3, 4])
>>>
[Edit: missed the set part of question]
回答 5
for item in items:
extant_set.add(item)
作为记录,我认为这样的主张“应该有一种-最好只有一种-显而易见的方式”。是假的。它假设许多技术娴熟的人都会做出这样的假设,而每个人的想法都是相同的。对一个人显而易见的东西对另一个人不是那么明显。
我认为我提出的解决方案清晰易读,并且可以满足您的要求。我不相信它会带来任何性能上的损失-尽管我承认我可能会遗漏一些东西。但是尽管如此,对于其他开发人员来说,它可能并不明显且更可取。
for item in items:
extant_set.add(item)
For the record, I think the assertion that “There should be one– and preferably only one –obvious way to do it.” is bogus. It makes an assumption that many technical minded people make, that everyone thinks alike. What is obvious to one person is not so obvious to another.
I would argue that my proposed solution is clearly readable, and does what you ask. I don’t believe there are any performance hits involved with it–though I admit I might be missing something. But despite all of that, it might not be obvious and preferable to another developer.