我在Python中有两个列表:
temp1 = ['One', 'Two', 'Three', 'Four']
temp2 = ['One', 'Two']
假设每个列表中的元素都是唯一的,我想用第一个列表中的项创建第三个列表,这些项不在第二个列表中:
temp3 = ['Three', 'Four']
有没有没有周期和检查的快速方法?
我在Python中有两个列表:
temp1 = ['One', 'Two', 'Three', 'Four']
temp2 = ['One', 'Two']
假设每个列表中的元素都是唯一的,我想用第一个列表中的项创建第三个列表,这些项不在第二个列表中:
temp3 = ['Three', 'Four']
有没有没有周期和检查的快速方法?
当前回答
这可以用一行来解决。 问题给出两个列表(temp1和temp2),在第三个列表(temp3)中返回它们的差值。
temp3 = list(set(temp1).difference(set(temp2)))
其他回答
这里有一个最简单情况的反答案。
这比上面那个做双向差分的要短,因为它只做了问题要求的事情:生成第一个列表中的东西的列表,而不是第二个列表中的东西。
from collections import Counter
lst1 = ['One', 'Two', 'Three', 'Four']
lst2 = ['One', 'Two']
c1 = Counter(lst1)
c2 = Counter(lst2)
diff = list((c1 - c2).elements())
或者,根据你的可读性偏好,它可以是一个不错的单行代码:
diff = list((Counter(lst1) - Counter(lst2)).elements())
输出:
['Three', 'Four']
请注意,如果您只是对其进行迭代,则可以删除list(…)调用。
因为这个解决方案使用计数器,所以相对于许多基于集合的答案,它可以正确地处理数量。例如,在这个输入中:
lst1 = ['One', 'Two', 'Two', 'Two', 'Three', 'Three', 'Four']
lst2 = ['One', 'Two']
输出结果为:
['Two', 'Two', 'Three', 'Three', 'Four']
由于目前的解决方案都不产生一个元组,我将抛出:
temp3 = tuple(set(temp1) - set(temp2))
另外:
#edited using @Mark Byers idea. If you accept this one as answer, just accept his instead.
temp3 = tuple(x for x in temp1 if x not in set(temp2))
像其他在这个方向上得到答案的非元组一样,它保持了顺序
我在这个游戏中有点晚了,但你可以做一个性能的比较,上面提到的一些代码和这个,两个最快的竞争者是,
list(set(x).symmetric_difference(set(y)))
list(set(x) ^ set(y))
我为我的初级编码水平道歉。
import time
import random
from itertools import filterfalse
# 1 - performance (time taken)
# 2 - correctness (answer - 1,4,5,6)
# set performance
performance = 1
numberoftests = 7
def answer(x,y,z):
if z == 0:
start = time.clock()
lists = (str(list(set(x)-set(y))+list(set(y)-set(y))))
times = ("1 = " + str(time.clock() - start))
return (lists,times)
elif z == 1:
start = time.clock()
lists = (str(list(set(x).symmetric_difference(set(y)))))
times = ("2 = " + str(time.clock() - start))
return (lists,times)
elif z == 2:
start = time.clock()
lists = (str(list(set(x) ^ set(y))))
times = ("3 = " + str(time.clock() - start))
return (lists,times)
elif z == 3:
start = time.clock()
lists = (filterfalse(set(y).__contains__, x))
times = ("4 = " + str(time.clock() - start))
return (lists,times)
elif z == 4:
start = time.clock()
lists = (tuple(set(x) - set(y)))
times = ("5 = " + str(time.clock() - start))
return (lists,times)
elif z == 5:
start = time.clock()
lists = ([tt for tt in x if tt not in y])
times = ("6 = " + str(time.clock() - start))
return (lists,times)
else:
start = time.clock()
Xarray = [iDa for iDa in x if iDa not in y]
Yarray = [iDb for iDb in y if iDb not in x]
lists = (str(Xarray + Yarray))
times = ("7 = " + str(time.clock() - start))
return (lists,times)
n = numberoftests
if performance == 2:
a = [1,2,3,4,5]
b = [3,2,6]
for c in range(0,n):
d = answer(a,b,c)
print(d[0])
elif performance == 1:
for tests in range(0,10):
print("Test Number" + str(tests + 1))
a = random.sample(range(1, 900000), 9999)
b = random.sample(range(1, 900000), 9999)
for c in range(0,n):
#if c not in (1,4,5,6):
d = answer(a,b,c)
print(d[1])
def diffList(list1, list2): # returns the difference between two lists.
if len(list1) > len(list2):
return (list(set(list1) - set(list2)))
else:
return (list(set(list2) - set(list1)))
例如,如果list1 =[10, 15, 20, 25, 30, 35, 40]和list2 =[25, 40, 35],那么返回的列表将输出= [10,20,30,15]
你可以使用列表推导式:
temp3 = [item for item in temp1 if item not in temp2]