deepcopy选项是唯一适用于我的方法：

from copy import deepcopy

a = [   [ list(range(1, 3)) for i in range(3) ]   ]
b = deepcopy(a)
b[0][1]=[3]
print('Deep:')
print(a)
print(b)
print('-----------------------------')
a = [   [ list(range(1, 3)) for i in range(3) ]   ]
b = a*1
b[0][1]=[3]
print('*1:')
print(a)
print(b)
print('-----------------------------')
a = [   [ list(range(1, 3)) for i in range(3) ] ]
b = a[:]
b[0][1]=[3]
print('Vector copy:')
print(a)
print(b)
print('-----------------------------')
a = [   [ list(range(1, 3)) for i in range(3) ]  ]
b = list(a)
b[0][1]=[3]
print('List copy:')
print(a)
print(b)
print('-----------------------------')
a = [   [ list(range(1, 3)) for i in range(3) ]  ]
b = a.copy()
b[0][1]=[3]
print('.copy():')
print(a)
print(b)
print('-----------------------------')
a = [   [ list(range(1, 3)) for i in range(3) ]  ]
b = a
b[0][1]=[3]
print('Shallow:')
print(a)
print(b)
print('-----------------------------')

导致输出：

Deep:
[[[1, 2], [1, 2], [1, 2]]]
[[[1, 2], [3], [1, 2]]]
-----------------------------
*1:
[[[1, 2], [3], [1, 2]]]
[[[1, 2], [3], [1, 2]]]
-----------------------------
Vector copy:
[[[1, 2], [3], [1, 2]]]
[[[1, 2], [3], [1, 2]]]
-----------------------------
List copy:
[[[1, 2], [3], [1, 2]]]
[[[1, 2], [3], [1, 2]]]
-----------------------------
.copy():
[[[1, 2], [3], [1, 2]]]
[[[1, 2], [3], [1, 2]]]
-----------------------------
Shallow:
[[[1, 2], [3], [1, 2]]]
[[[1, 2], [3], [1, 2]]]
-----------------------------

请注意，在某些情况下，如果您定义了自己的自定义类，并且希望保留这些属性，则应使用copy.copy（）或copy.deepcopy（），而不是其他选项，例如在Python 3中：

import copy

class MyList(list):
    pass

lst = MyList([1,2,3])

lst.name = 'custom list'

d = {
'original': lst,
'slicecopy' : lst[:],
'lstcopy' : lst.copy(),
'copycopy': copy.copy(lst),
'deepcopy': copy.deepcopy(lst)
}


for k,v in d.items():
    print('lst: {}'.format(k), end=', ')
    try:
        name = v.name
    except AttributeError:
        name = 'NA'
    print('name: {}'.format(name))

输出：

lst: original, name: custom list
lst: slicecopy, name: NA
lst: lstcopy, name: NA
lst: copycopy, name: custom list
lst: deepcopy, name: custom list

使用对象[：]

>>> a = [1,2]
>>> b = a[:]
>>> a += [3]
>>> a
[1, 2, 3]
>>> b
[1, 2]
>>> 

要使用的方法取决于要复制的列表的内容。如果列表中包含嵌套的dict，则deepcopy是唯一有效的方法，否则答案中列出的大多数方法（slice、loop[for]、copy、extend、combine或unpack）都将在类似的时间内工作和执行（loop和deepcopy除外，这两种方法执行得最差）。

剧本

from random import randint
from time import time
import copy

item_count = 100000

def copy_type(l1: list, l2: list):
  if l1 == l2:
    return 'shallow'
  return 'deep'

def run_time(start, end):
  run = end - start
  return int(run * 1000000)

def list_combine(data):
  l1 = [data for i in range(item_count)]
  start = time()
  l2 = [] + l1
  end = time()
  if type(data) == dict:
    l2[0]['test'].append(1)
  elif type(data) == list:
    l2.append(1)
  return {'method': 'combine', 'copy_type': copy_type(l1, l2), 
          'time_µs': run_time(start, end)}

def list_extend(data):
  l1 = [data for i in range(item_count)]
  start = time()
  l2 = []
  l2.extend(l1)
  end = time()
  if type(data) == dict:
    l2[0]['test'].append(1)
  elif type(data) == list:
    l2.append(1)
  return {'method': 'extend', 'copy_type': copy_type(l1, l2), 
          'time_µs': run_time(start, end)}

def list_unpack(data):
  l1 = [data for i in range(item_count)]
  start = time()
  l2 = [*l1]
  end = time()
  if type(data) == dict:
    l2[0]['test'].append(1)
  elif type(data) == list:
    l2.append(1)
  return {'method': 'unpack', 'copy_type': copy_type(l1, l2), 
          'time_µs': run_time(start, end)}

def list_deepcopy(data):
  l1 = [data for i in range(item_count)]
  start = time()
  l2 = copy.deepcopy(l1)
  end = time()
  if type(data) == dict:
    l2[0]['test'].append(1)
  elif type(data) == list:
    l2.append(1)
  return {'method': 'deepcopy', 'copy_type': copy_type(l1, l2), 
          'time_µs': run_time(start, end)}

def list_copy(data):
  l1 = [data for i in range(item_count)]
  start = time()
  l2 = list.copy(l1)
  end = time()
  if type(data) == dict:
    l2[0]['test'].append(1)
  elif type(data) == list:
    l2.append(1)
  return {'method': 'copy', 'copy_type': copy_type(l1, l2), 
          'time_µs': run_time(start, end)}

def list_slice(data):
  l1 = [data for i in range(item_count)]
  start = time()
  l2 = l1[:]
  end = time()
  if type(data) == dict:
    l2[0]['test'].append(1)
  elif type(data) == list:
    l2.append(1)
  return {'method': 'slice', 'copy_type': copy_type(l1, l2), 
          'time_µs': run_time(start, end)}

def list_loop(data):
  l1 = [data for i in range(item_count)]
  start = time()
  l2 = []
  for i in range(len(l1)):
    l2.append(l1[i])
  end = time()
  if type(data) == dict:
    l2[0]['test'].append(1)
  elif type(data) == list:
    l2.append(1)
  return {'method': 'loop', 'copy_type': copy_type(l1, l2), 
          'time_µs': run_time(start, end)}

def list_list(data):
  l1 = [data for i in range(item_count)]
  start = time()
  l2 = list(l1)
  end = time()
  if type(data) == dict:
    l2[0]['test'].append(1)
  elif type(data) == list:
    l2.append(1)
  return {'method': 'list()', 'copy_type': copy_type(l1, l2), 
          'time_µs': run_time(start, end)}

if __name__ == '__main__':
  list_type = [{'list[dict]': {'test': [1, 1]}}, 
          {'list[list]': [1, 1]}]
  store = []
  for data in list_type:
    key = list(data.keys())[0]
    store.append({key: [list_unpack(data[key]), list_extend(data[key]), 
                list_combine(data[key]), list_deepcopy(data[key]), 
                list_copy(data[key]), list_slice(data[key]),           
                list_loop(data[key])]})
  print(store)

后果

[{"list[dict]": [
  {"method": "unpack", "copy_type": "shallow", "time_µs": 56149},
  {"method": "extend", "copy_type": "shallow", "time_µs": 52991},
  {"method": "combine", "copy_type": "shallow", "time_µs": 53726},
  {"method": "deepcopy", "copy_type": "deep", "time_µs": 2702616},
  {"method": "copy", "copy_type": "shallow", "time_µs": 52204},
  {"method": "slice", "copy_type": "shallow", "time_µs": 52223},
  {"method": "loop", "copy_type": "shallow", "time_µs": 836928}]},
{"list[list]": [
  {"method": "unpack", "copy_type": "deep", "time_µs": 52313},
  {"method": "extend", "copy_type": "deep", "time_µs": 52550},
  {"method": "combine", "copy_type": "deep", "time_µs": 53203},
  {"method": "deepcopy", "copy_type": "deep", "time_µs": 2608560},
  {"method": "copy", "copy_type": "deep", "time_µs": 53210},
  {"method": "slice", "copy_type": "deep", "time_µs": 52937},
  {"method": "loop", "copy_type": "deep", "time_µs": 834774}
]}]

这是因为，行new_list=my_list为变量my_list分配了一个新的引用，即new_list这类似于下面给出的C代码，

int my_list[] = [1,2,3,4];
int *new_list;
new_list = my_list;

您应该使用复制模块创建新列表

import copy
new_list = copy.deepcopy(my_list)

有人告诉我Python 3.3+添加了list.copy（）方法，它应该和切片一样快：

newlist = old_list.copy()