上面所有的答案(除了Martin Andersson的)都创建了一个没有所需项目的新列表，而不是从原始列表中删除项目。

>>> import random, timeit
>>> a = list(range(5)) * 1000
>>> random.shuffle(a)

>>> b = a
>>> print(b is a)
True

>>> b = [x for x in b if x != 0]
>>> print(b is a)
False
>>> b.count(0)
0
>>> a.count(0)
1000

>>> b = a
>>> b = filter(lambda a: a != 2, x)
>>> print(b is a)
False

如果您有对列表的其他引用，这可能很重要。

要就地修改列表，可以使用如下方法

>>> def removeall_inplace(x, l):
...     for _ in xrange(l.count(x)):
...         l.remove(x)
...
>>> removeall_inplace(0, b)
>>> b is a
True
>>> a.count(0)
0

就速度而言，我笔记本电脑上的结果是(全部在5000个条目列表中，删除了1000个条目)

列表理解- ~400us 过滤器- ~900us .remove()循环- 50ms

因此.remove循环大约要慢100倍........嗯，也许需要一种不同的方法。我发现最快的方法是使用列表理解，但随后替换原始列表的内容。

>>> def removeall_replace(x, l):
....    t = [y for y in l if y != x]
....    del l[:]
....    l.extend(t)

Removeall_replace () - 450us

关于速度!

import time
s_time = time.time()

print 'start'
a = range(100000000)
del a[:]
print 'finished in %0.2f' % (time.time() - s_time)
# start
# finished in 3.25

s_time = time.time()
print 'start'
a = range(100000000)
a = []
print 'finished in %0.2f' % (time.time() - s_time)
# start
# finished in 2.11

Numpy方法和对包含1.000.000个元素的列表/数组的计时:

计时:

In [10]: a.shape
Out[10]: (1000000,)

In [13]: len(lst)
Out[13]: 1000000

In [18]: %timeit a[a != 2]
100 loops, best of 3: 2.94 ms per loop

In [19]: %timeit [x for x in lst if x != 2]
10 loops, best of 3: 79.7 ms per loop

结论:numpy(在我的笔记本上)比列表理解方法快27倍

PS如果你想将常规的Python列表lst转换为numpy数组:

arr = np.array(lst)

设置:

import numpy as np
a = np.random.randint(0, 1000, 10**6)

In [10]: a.shape
Out[10]: (1000000,)

In [12]: lst = a.tolist()

In [13]: len(lst)
Out[13]: 1000000

检查:

In [14]: a[a != 2].shape
Out[14]: (998949,)

In [15]: len([x for x in lst if x != 2])
Out[15]: 998949

hello =  ['h', 'e', 'l', 'l', 'o', ' ', 'w', 'o', 'r', 'l', 'd']
#chech every item for a match
for item in range(len(hello)-1):
     if hello[item] == ' ': 
#if there is a match, rebuild the list with the list before the item + the list after the item
         hello = hello[:item] + hello [item + 1:]
print hello

[' h ',‘e’,‘l’,‘l’,‘o’,‘w’,‘o’,‘r’,‘l’,' d ')

你可以使用列表推导式:

def remove_values_from_list(the_list, val):
   return [value for value in the_list if value != val]

x = [1, 2, 3, 4, 2, 2, 3]
x = remove_values_from_list(x, 2)
print x
# [1, 3, 4, 3]

功能的方法:

Python 3. x

>>> x = [1,2,3,2,2,2,3,4]
>>> list(filter((2).__ne__, x))
[1, 3, 3, 4]

or

>>> x = [1,2,3,2,2,2,3,4]
>>> list(filter(lambda a: a != 2, x))
[1, 3, 3, 4]

or

>>> [i for i in x if i != 2]

Python 2. x

>>> x = [1,2,3,2,2,2,3,4]
>>> filter(lambda a: a != 2, x)
[1, 3, 3, 4]