如果你的列表只包含一个元素的副本，例如list_a=[0,0,0,0,0,0,1,3,4,6,7]，下面的代码将是有帮助的:

list_a=[0,0,0,0,0,0,1,3,4,6,7]
def remove_element(element,the_list):
    the_list=list(set(the_list))
    the_list.remove(element)
    return the_list

list_a=remove_element(element=0,the_list=list_a)
print(list_a)

or

a=list(set(i for i in list_a if i!=2))
a.remove(2)

基本思想是集合不允许重复，因此首先我将列表转换为set(删除重复项)，然后使用.remove()函数删除元素的第一个实例(因为现在每个项只有一个实例)。

但如果你有多个元素的副本，下面的方法会有帮助:

列表理解

list_a=[1, 2, 3, 4, 2, 2, 3]
remove_element=lambda element,the_list:[i for i in the_list if i!=element]
print(remove_element(element=2,the_list=list_a))

过滤器

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

While循环

list_a=[1, 2, 3, 4, 2, 2, 3]
def remove_element(element,the_list):
    while element in the_list:the_list.remove(element)
    return the_list
print(remove_element(2,list_a))

for循环(与列表推导式相同)

list_a=[1, 2, 3, 4, 2, 2, 3]
a=[]
for i in list_a:
    if i!=2:
        a.append(i)
print(a)

有什么问题:

Motor=['1','2','2']
for i in Motor:
   if i != '2':
       print(i)
print(motor)

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

我只是做了一个列表。我只是个初学者。稍微高级一点的程序员当然可以写出这样的函数。

for i in range(len(spam)):
    spam.remove('cat')
    if 'cat' not in spam:
         print('All instances of ' + 'cat ' + 'have been removed')
         break

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 ')

我们也可以使用del或pop来进行就地删除:

import random

def remove_values_from_list(lst, target):
    if type(lst) != list:
        return lst

    i = 0
    while i < len(lst):
        if lst[i] == target:
            lst.pop(i)  # length decreased by 1 already
        else:
            i += 1

    return lst

remove_values_from_list(None, 2)
remove_values_from_list([], 2)
remove_values_from_list([1, 2, 3, 4, 2, 2, 3], 2)
lst = remove_values_from_list([random.randrange(0, 10) for x in range(1000000)], 2)
print(len(lst))

现在说说效率:

In [21]: %timeit -n1 -r1 x = random.randrange(0,10)
1 loop, best of 1: 43.5 us per loop

In [22]: %timeit -n1 -r1 lst = [random.randrange(0, 10) for x in range(1000000)]
g1 loop, best of 1: 660 ms per loop

In [23]: %timeit -n1 -r1 lst = remove_values_from_list([random.randrange(0, 10) for x in range(1000000)]
    ...: , random.randrange(0,10))
1 loop, best of 1: 11.5 s per loop

In [27]: %timeit -n1 -r1 x = random.randrange(0,10); lst = [a for a in [random.randrange(0, 10) for x in
    ...:  range(1000000)] if x != a]
1 loop, best of 1: 710 ms per loop

正如我们所看到的，原地版本remove_values_from_list()不需要任何额外的内存，但它确实需要更多的时间来运行:

11秒的位置删除值 710毫秒用于列表推导，它在内存中分配一个新列表