如何在整数列表中找到重复项并创建重复项的另一个列表?
当前回答
你可以使用iteration_utilities.duplicate:
>>> from iteration_utilities import duplicates
>>> list(duplicates([1,1,2,1,2,3,4,2]))
[1, 1, 2, 2]
或者如果你只想要一个副本,可以结合iteration_utilities.unique_everseen:
>>> from iteration_utilities import unique_everseen
>>> list(unique_everseen(duplicates([1,1,2,1,2,3,4,2])))
[1, 2]
它也可以处理不可哈希的元素(但是以性能为代价):
>>> list(duplicates([[1], [2], [1], [3], [1]]))
[[1], [1]]
>>> list(unique_everseen(duplicates([[1], [2], [1], [3], [1]])))
[[1]]
这是只有少数其他方法可以处理的问题。
基准
我做了一个快速的基准测试,其中包含了这里提到的大部分(但不是全部)方法。
第一个基准测试只包含了很小范围的列表长度,因为一些方法具有O(n**2)行为。
在图表中,y轴代表时间,所以值越低越好。它还绘制了log-log,以便更好地可视化广泛的值范围:
除去O(n**2)方法,我在一个列表中做了另一个多达50万个元素的基准测试:
正如您所看到的iteration_utilities。duplicate方法比任何其他方法都快,甚至连链接unique_everseen(duplicate(…))也比其他方法更快或同样快。
这里需要注意的另一件有趣的事情是,熊猫方法对于小列表非常慢,但可以轻松地竞争较长的列表。
然而,由于这些基准测试显示大多数方法的性能大致相同,因此使用哪一种并不重要(除了有O(n**2)运行时的3种方法)。
from iteration_utilities import duplicates, unique_everseen
from collections import Counter
import pandas as pd
import itertools
def georg_counter(it):
return [item for item, count in Counter(it).items() if count > 1]
def georg_set(it):
seen = set()
uniq = []
for x in it:
if x not in seen:
uniq.append(x)
seen.add(x)
def georg_set2(it):
seen = set()
return [x for x in it if x not in seen and not seen.add(x)]
def georg_set3(it):
seen = {}
dupes = []
for x in it:
if x not in seen:
seen[x] = 1
else:
if seen[x] == 1:
dupes.append(x)
seen[x] += 1
def RiteshKumar_count(l):
return set([x for x in l if l.count(x) > 1])
def moooeeeep(seq):
seen = set()
seen_add = seen.add
# adds all elements it doesn't know yet to seen and all other to seen_twice
seen_twice = set( x for x in seq if x in seen or seen_add(x) )
# turn the set into a list (as requested)
return list( seen_twice )
def F1Rumors_implementation(c):
a, b = itertools.tee(sorted(c))
next(b, None)
r = None
for k, g in zip(a, b):
if k != g: continue
if k != r:
yield k
r = k
def F1Rumors(c):
return list(F1Rumors_implementation(c))
def Edward(a):
d = {}
for elem in a:
if elem in d:
d[elem] += 1
else:
d[elem] = 1
return [x for x, y in d.items() if y > 1]
def wordsmith(a):
return pd.Series(a)[pd.Series(a).duplicated()].values
def NikhilPrabhu(li):
li = li.copy()
for x in set(li):
li.remove(x)
return list(set(li))
def firelynx(a):
vc = pd.Series(a).value_counts()
return vc[vc > 1].index.tolist()
def HenryDev(myList):
newList = set()
for i in myList:
if myList.count(i) >= 2:
newList.add(i)
return list(newList)
def yota(number_lst):
seen_set = set()
duplicate_set = set(x for x in number_lst if x in seen_set or seen_set.add(x))
return seen_set - duplicate_set
def IgorVishnevskiy(l):
s=set(l)
d=[]
for x in l:
if x in s:
s.remove(x)
else:
d.append(x)
return d
def it_duplicates(l):
return list(duplicates(l))
def it_unique_duplicates(l):
return list(unique_everseen(duplicates(l)))
基准1
from simple_benchmark import benchmark
import random
funcs = [
georg_counter, georg_set, georg_set2, georg_set3, RiteshKumar_count, moooeeeep,
F1Rumors, Edward, wordsmith, NikhilPrabhu, firelynx,
HenryDev, yota, IgorVishnevskiy, it_duplicates, it_unique_duplicates
]
args = {2**i: [random.randint(0, 2**(i-1)) for _ in range(2**i)] for i in range(2, 12)}
b = benchmark(funcs, args, 'list size')
b.plot()
基准2
funcs = [
georg_counter, georg_set, georg_set2, georg_set3, moooeeeep,
F1Rumors, Edward, wordsmith, firelynx,
yota, IgorVishnevskiy, it_duplicates, it_unique_duplicates
]
args = {2**i: [random.randint(0, 2**(i-1)) for _ in range(2**i)] for i in range(2, 20)}
b = benchmark(funcs, args, 'list size')
b.plot()
免责声明
1这是我写的一个第三方库:iteration_utilities。
其他回答
集合。Counter是python 2.7中的新功能:
Python 2.5.4 (r254:67916, May 31 2010, 15:03:39)
[GCC 4.1.2 20080704 (Red Hat 4.1.2-46)] on linux2
a = [1,2,3,2,1,5,6,5,5,5]
import collections
print [x for x, y in collections.Counter(a).items() if y > 1]
Type "help", "copyright", "credits" or "license" for more information.
File "", line 1, in
AttributeError: 'module' object has no attribute 'Counter'
>>>
在早期版本中,你可以使用传统的字典:
a = [1,2,3,2,1,5,6,5,5,5]
d = {}
for elem in a:
if elem in d:
d[elem] += 1
else:
d[elem] = 1
print [x for x, y in d.items() if y > 1]
简单地检查,对于所有列表项,如果一个项的第一个索引等于该项的最后一个索引:
>>> lastindex = lambda arr, el: len(arr) - arr[::-1].index(el) -1
>>> is_duplicate = lambda arr, el: arr.index(el) != lastindex(arr, el)
>>> duplicates = lambda arr: [*set(x for x in arr if is_duplicate(arr, x))]
>>>
>>> a=[2,3,5,7,11,13, 2,17,7,7,17,18,3,19,5,2,7,48,48,2,19]
>>> duplicates(a)
[2, 3, 5, 7, 48, 17, 19]
>>>
一个非常简单的解决方案,但是复杂度是O(n*n)。
>>> xs = [1,2,3,4,4,5,5,6,1]
>>> set([x for x in xs if xs.count(x) > 1])
set([1, 4, 5])
def removeduplicates(a):
seen = set()
for i in a:
if i not in seen:
seen.add(i)
return seen
print(removeduplicates([1,1,2,2]))
我注意到大多数解决方案的复杂度为O(n * n),对于大型列表来说非常缓慢。所以我想分享一下我写的函数,它支持整数或字符串,在最好的情况下是O(n)。对于一个包含10万个元素的列表,最上面的解决方案需要超过30秒,而我的解决方案只需0.12秒
def get_duplicates(list1):
'''Return all duplicates given a list. O(n) complexity for best case scenario.
input: [1, 1, 1, 2, 3, 4, 4]
output: [1, 1, 4]
'''
dic = {}
for el in list1:
try:
dic[el] += 1
except:
dic[el] = 1
dupes = []
for key in dic.keys():
for i in range(dic[key] - 1):
dupes.append(key)
return dupes
list1 = [1, 1, 1, 2, 3, 4, 4]
> print(get_duplicates(list1))
[1, 1, 4]
或者获得唯一的副本:
> print(list(set(get_duplicates(list1))))
[1, 4]
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