python中浅拷贝有几种实现方法?
导读:这篇文章我们来了解python中浅拷贝的实现,python中浅拷贝是对一个对象最顶层的拷贝。,即只拷贝对象的数据内容和父对象,不拷贝对象内部的子对象。下文介绍了四种实现浅拷贝的方式,有需要的朋友可以参考,接下来就跟随小编来了解看看吧!...
这篇文章我们来了解python中浅拷贝的实现,python中浅拷贝是对一个对象最顶层的拷贝。,即只拷贝对象的数据内容和父对象,不拷贝对象内部的子对象。下文介绍了四种实现浅拷贝的方式,有需要的朋友可以参考,接下来就跟随小编来了解看看吧!
方式一:使用切片 [:]
列表
# 浅拷贝 [:] old_list = [1, 2, [3, 4]] new_list = old_list[:] old_list.append(5) old_list[2][0] += 97 print("Old list:", old_list, "old list id:", id(old_list), " old list[0] id:", id(old_list[2])) print("new list:", new_list, "new list id:", id(new_list), " new list[0] id:", id(new_list[2])) # 输出结果 Old list: [1, 2, [100, 4], 5] old list id: 4537660608 old list[0] id: 4537659840 new list: [1, 2, [100, 4]] new list id: 4537711424 new list[0] id: 4537659840
方式二:使用工厂函数
工厂函数简介
- 工厂函数看上去像函数,但实际是一个类
- 调用时,生成该数据类型类型的一个实例
可变对象的工厂函数
- list()
- set()
- dict()
列表
old_list = [1, 2, [3, 4]] new_list = list(old_list) old_list.append(5) old_list[2][0] += 97 print("Old list:", old_list, "old list id:", id(old_list), " old list[0] id:", id(old_list[2])) print("new list:", new_list, "new list id:", id(new_list), " new list[0] id:", id(new_list[2]))
集合
old_set = { 1, 2, 3} new_set = set(old_set) old_set.add(4) print("Old set:", old_set, "old set id:", id(old_set)) print("new set:", new_set, "new set id:", id(new_set)) # 输出结果 Old set: { 1, 2, 3, 4} old set id: 4484723648 new set: { 1, 2, 3} new set id: 4484723872
字典
old_dict = { "name": "小明"} new_dict = dict(old_dict) old_dict["second"] = "Python" print("Old dict:", old_dict, "old dict id:", id(old_dict)) print("new dict:", new_dict, "new dict id:", id(new_dict)) # 输出结果 Old dict: { 'name': '小明', 'second': 'Python'} old dict id: 4514161536 new dict: { 'name': '小明'} new dict id: 4515690304
方式三:使用数据类型自带的 copy 方法
列表
old_list = [1, 2, [3, 4]] new_list = old_list.copy() old_list.append(5) old_list[2][0] += 97 print("Old list:", old_list, "old list id:", id(old_list), " old list[0] id:", id(old_list[2])) print("new list:", new_list, "new list id:", id(new_list), " new list[0] id:", id(new_list[2])) # 输出结果 Old list: [1, 2, [100, 4], 5] old list id: 4309832000 old list[0] id: 4310372992 new list: [1, 2, [100, 4]] new list id: 4309735296 new list[0] id: 4310372992
集合
old_set = { 1, 2, 3} new_set = old_set.copy() old_set.add(4) print("Old set:", old_set, "old set id:", id(old_set)) print("new set:", new_set, "new set id:", id(new_set)) # 输出结果 Old set: { 1, 2, 3, 4} old set id: 4309931392 new set: { 1, 2, 3} new set id: 4309930944
字典
old_dict = { "name": "小明"} new_dict = old_dict.copy() old_dict["second"] = "Python" print("Old dict:", old_dict, "old dict id:", id(old_dict)) print("new dict:", new_dict, "new dict id:", id(new_dict)) # 输出结果 Old dict: { 'name': '小明', 'second': 'Python'} old dict id: 4308452288 new dict: { 'name': '小明'} new dict id: 4308452224
源码
def copy(self, *args, **kwargs): # real signature unknown """ Return a shallow copy of the list. """ pass
已经写的很清楚,这是浅拷贝
方式四:使用 copy 模块的 copy 方法
列表
from copy import copy old_list = [1, 2, [3, 4]] new_list = copy(old_list) old_list.append(5) old_list[2][0] += 97 print("Old list:", old_list, "old list id:", id(old_list), " old list[0] id:", id(old_list[2])) print("new list:", new_list, "new list id:", id(new_list), " new list[0] id:", id(new_list[2])) # 输出结果 Old list: [1, 2, [100, 4], 5] old list id: 4381013184 old list[0] id: 4381159936 new list: [1, 2, [100, 4]] new list id: 4381012800 new list[0] id: 4381159936
集合
from copy import copy old_set = { 1, 2, 3} new_set = copy(old_set) old_set.add(4) print("Old set:", old_set, "old set id:", id(old_set)) print("new set:", new_set, "new set id:", id(new_set)) # 输出结果 Old set: { 1, 2, 3, 4} old set id: 4381115552 new set: { 1, 2, 3} new set id: 4381115776
字典
from copy import copy old_dict = { "name": "小明"} new_dict = copy(old_dict) old_dict["second"] = "Python" print("Old dict:", old_dict, "old dict id:", id(old_dict)) print("new dict:", new_dict, "new dict id:", id(new_dict)) # 输出结果 Old dict: { 'name': '小明', 'second': 'Python'} old dict id: 4381159680 new dict: { 'name': '小明'} new dict id: 4379632576
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