如果散差表的元素是排序和集合的，你可以使用朴素方法。

list1=[1,2,3,4,5]
list2=[1,2,3]

print list1[len(list2):]

或者使用本机set方法:

subset=set(list1).difference(list2)

print subset

import timeit
init = 'temp1 = list(range(100)); temp2 = [i * 2 for i in range(50)]'
print "Naive solution: ", timeit.timeit('temp1[len(temp2):]', init, number = 100000)
print "Native set solution: ", timeit.timeit('set(temp1).difference(temp2)', init, number = 100000)

朴素解:0.0787101593292

本机集解决方案:0.998837615564

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

如果要删除列表a中存在于列表b中的所有值。

def list_diff(a, b):
    r = []

    for i in a:
        if i not in b:
            r.append(i)
    return r

list_diff([1、2、2],[1])

结果(2,2):

or

def list_diff(a, b):
    return [x for x in a if x not in b]

如果散差表的元素是排序和集合的，你可以使用朴素方法。

list1=[1,2,3,4,5]
list2=[1,2,3]

print list1[len(list2):]

或者使用本机set方法:

subset=set(list1).difference(list2)

print subset

import timeit
init = 'temp1 = list(range(100)); temp2 = [i * 2 for i in range(50)]'
print "Naive solution: ", timeit.timeit('temp1[len(temp2):]', init, number = 100000)
print "Native set solution: ", timeit.timeit('set(temp1).difference(temp2)', init, number = 100000)

朴素解:0.0787101593292

本机集解决方案:0.998837615564

如果列表是对象而不是基本类型，这是一种方法。

代码更加明确，并给出了一个副本。 这可能不是一个有效的实现，但对于较小的对象列表来说是干净的。

a = [
    {'id1': 1, 'id2': 'A'},
    {'id1': 1, 'id2': 'B'},
    {'id1': 1, 'id2': 'C'},  # out
    {'id1': 2, 'id2': 'A'},
    {'id1': 2, 'id2': 'B'},  # out
]
b = [
    {'id1': 1, 'id2': 'A'},
    {'id1': 1, 'id2': 'B'},
    {'id1': 2, 'id2': 'A'},
]


def difference(a, b):
  for x in a:
    for y in b:
      if x['id1'] == y['id1'] and x['id2'] == y['id2']:
        x['is_removed'] = True

  c = [x for x in a if not x.get('is_removed', False)]
  return c


print(difference(a, b))

下面是@arkolec的回答，下面是一个用于比较列表、元组和集的实用程序类:

from difflib import SequenceMatcher

class ListDiffer:

    def __init__(self, left, right, strict:bool=False):
        assert isinstance(left, (list, tuple, set)), "left must be list, tuple or set"
        assert isinstance(right, (list, tuple, set)), "right must be list, tuple or set"
        self.l = list(left) if isinstance(left, (tuple, set)) else left
        self.r = list(right) if isinstance(left, (tuple, set)) else right

        if strict:
            assert isinstance(left, right.__class__), \
                f'left type ({left.__class__.__name__}) must equal right type ({right.__class__.__name__})'

        self.diffs = []
        self.equal = []

        for tag, i, j, k, l in SequenceMatcher(None, self.l, self.r).get_opcodes():
            if tag in ['delete', 'replace', 'insert']:
                self.diffs.append((tag, i, j, k, l))
            elif tag == 'equal':
                [self.equal.append(v) for v in left[i:j]]
                


    def has_diffs(self):
        return len(self.diffs) > 0


    def only_left(self):
        a = self.l[:]
        [a.remove(v) for v in self.equal]
        return a

    def only_right(self):
        a = self.r[:]
        [a.remove(v) for v in self.equal]
        return a


    def __str__(self, verbose:bool=False):
        iD = 0
        sb = []
        if verbose:
            sb.append(f"left: {self.l}\n")
            sb.append(f"right: {self.r}\n")
            sb.append(f"diffs: ")
        for tag, i, j, k, l in self.diffs:
            s = f"({iD})"
            if iD > 0: sb.append(' | ')
            if tag in ('delete', 'replace'): s = f'{s} l:{self.l[i:j]}'
            if tag in ('insert', 'replace'): s = f'{s} r:{self.r[k:l]}'
            sb.append(s)
            iD = iD + 1

        if verbose:
            sb.append(f"\nequal: {self.equal}")
        return ''.join(sb)

    def __repr__(self) -> str:
        return "<ListDiffer> {}".format(self.__str__())

用法:

left = ['a','b','c']
right = ['aa','b','c','d']
# right = ('aa','b','c','d')
ld = ListDiffer(left, right, strict=True)
print(f'ld.has_diffs(): {ld.has_diffs()}')
print(f'ld: {ld}')
print(f'ld.only_left(): {ld.only_left()}')
print(f'ld.only_right(): {ld.only_right()}')

输出:

ld.has_diffs(): True
ld: (0) l:['a'] r:['aa'] | (1) r:['d']
ld.only_left(): ['a']
ld.only_right(): ['aa', 'd']

我不能说性能，但你可以使用ld.only_left()来获得你正在寻找的结果。