一、链表简介
链表是一种在存储单元上非连续、非顺序的存储结构。数据元素的逻辑顺序是通过链表中的指针链接次序实现。链表是由一系列的结点组成,结点可以在运行时动态生成。每个结点包含两部分:数据域与指针域。数据域存储数据元素,指针域存储下一结点的指针。
二、单向链表
单向链表也叫单链表,是链表中最简单的形式,它的每个节点包含两个域,一个信息域(元素域)和一个链接域。这个链接指向链表中的下一个节点,而最后一个节点的链接域则指向一个空值。

head 保存首地址,item 存储数据,next 指向下一结点地址。
链表失去了序列的随机读取优点,同时链表增加了指针域,空间开销也较大,但它对存储空间的使用要相对灵活。
列如:有一堆数据[1,2,3,5,6,7],要在3和5之间插入4, 如果用数组,需要将5之后的数据都往后退一位,然后再插入4,这样非常麻烦,但是如果用链表,我就直接在3和5之间插入4就行。
1. 定义结点
结点的数据结构为数据元素(item)与 指针(next)
class Node(object):
"""单链表的结点"""
def __init__(self, item):
self.item = item
self.next = None
2. 定义链表
链表需要具有首地址指针head。
class SingleLinkList(object):
"""单链表"""
def __init__(self):
self._head = None
示例:创建链表
if __name__ == '__main__':
link_list = SingleLinkList()
node1 = Node(1)
node2 = Node(2)
link_list._head = node1
node1.next = node2
print(link_list._head.item)
print(link_list._head.next.item)
是不是感觉很麻烦,所以我们要在链表中增加操作方法。
- is_empty() 链表是否为空
- length() 链表长度
- items() 获取链表数据迭代器
- add(item) 链表头部添加元素
- append(item) 链表尾部添加元素
- insert(pos, item) 指定位置添加元素
- remove(item) 删除节点
- find(item) 查找节点是否存在
代码如下:
class SingleLinkList(object):
"""单链表"""
def __init__(self):
self._head = None
def is_empty(self):
"""判断链表是否为空"""
return self._head is None
def length(self):
"""链表长度"""
cur = self._head
count = 0
while cur is not None:
count += 1
cur = cur.next
return count
def items(self):
"""遍历链表"""
cur = self._head
while cur is not None:
yield cur.item
cur = cur.next
def add(self, item):
"""向链表头部添加元素"""
node = Node(item)
node.next = self._head
self._head = node
def append(self, item):
"""尾部添加元素"""
node = Node(item)
if self.is_empty():
self._head = node
else:
cur = self._head
while cur.next is not None:
cur = cur.next
cur.next = node
def insert(self, index, item):
"""指定位置插入元素"""
if index <= 0:
self.add(item)
elif index > (self.length() - 1):
self.append(item)
else:
node = Node(item)
cur = self._head
for i in range(index - 1):
cur = cur.next
node.next = cur.next
cur.next = node
def remove(self, item):
"""删除节点"""
cur = self._head
pre = None
while cur is not None:
if cur.item == item:
if not pre:
self._head = cur.next
else:
pre.next = cur.next
return True
else:
pre = cur
cur = cur.next
def find(self, item):
"""查找元素是否存在"""
return item in self.items()
示例:操作链表
if __name__ == '__main__':
link_list = SingleLinkList()
for i in range(5):
link_list.append(i)
link_list.add(6)
for i in link_list.items():
print(i, end='\t')
link_list.insert(3, 9)
print('\n', list(link_list.items()))
link_list.remove(0)
print(link_list.find(4))
三、循环链表

单向循环链表为单向链表的变种,链表的最后一个next指向链表头,新增一个循环。
1. 循环链表结点
class Node(object):
"""链表的结点"""
def __init__(self, item):
self.item = item
self.next = None
2. 定义循环链表
class SingleCycleLinkList(object):
def __init__(self):
self._head = None
def is_empty(self):
"""判断链表是否为空"""
return self._head is None
def length(self):
"""链表长度"""
if self.is_empty():
return 0
count = 1
cur = self._head
while cur.next != self._head:
count += 1
cur = cur.next
return count
def items(self):
""" 遍历链表 """
if self.is_empty():
return
cur = self._head
while cur.next != self._head:
yield cur.item
cur = cur.next
yield cur.item
def add(self, item):
""" 头部添加结点"""
node = Node(item)
if self.is_empty():
self._head = node
node.next = self._head
else:
node.next = self._head
cur = self._head
while cur.next != self._head:
cur = cur.next
cur.next = node
self._head = node
def append(self, item):
"""尾部添加结点"""
node = Node(item)
if self.is_empty():
self._head = node
node.next = self._head
else:
cur = self._head
while cur.next != self._head:
cur = cur.next
cur.next = node
node.next = self._head
def insert(self, index, item):
""" 指定位置添加结点"""
if index <= 0:
self.add(item)
elif index > self.length() - 1:
self.append(item)
else:
node = Node(item)
cur = self._head
for i in range(index - 1):
cur = cur.next
node.next = cur.next
cur.next = node
def remove(self, item):
""" 删除一个结点 """
if self.is_empty():
return
cur = self._head
pre = Node
if cur.item == item:
if cur.next != self._head:
while cur.next != self._head:
cur = cur.next
cur.next = self._head.next
self._head = self._head.next
else:
self._head = None
else:
pre = self._head
while cur.next != self._head:
if cur.item == item:
pre.next = cur.next
return True
else:
pre = cur
cur = cur.next
if cur.item == item:
pre.next = self._head
return True
def find(self, item):
""" 查找元素是否存在"""
return item in self.items()
if __name__ == '__main__':
link_list = SingleCycleLinkList()
print(link_list.is_empty())
for i in range(5):
link_list.add(i)
print(list(link_list.items()))
for i in range(6):
link_list.append(i)
print(list(link_list.items()))
link_list.insert(3, 45)
print(list(link_list.items()))
link_list.remove(5)
print(list(link_list.items()))
print(4 in link_list.items())
四、双向链表
双向链表比单向链表更加复杂,它每个节点有两个链接:一个指向前一个节点,当此节点为第一个节点时,指向空值;而另一个链接指向下一个节点,当此节点为最后一个节点时,指向空值。

head 保存首地址,item 存储数据,next 指向下一结点地址,prev 指向上一结点地址。
1. 定义双向链表结点
class Node(object):
"""双向链表的结点"""
def __init__(self, item):
self.item = item
self.next = None
self.prev = None
2. 定义双向链表
class BilateralLinkList(object):
"""双向链表"""
def __init__(self):
self._head = None
def is_empty(self):
"""判断链表是否为空"""
return self._head is None
def length(self):
"""链表长度"""
cur = self._head
count = 0
while cur is not None:
count += 1
cur = cur.next
return count
def items(self):
"""遍历链表"""
cur = self._head
while cur is not None:
yield cur.item
cur = cur.next
def add(self, item):
"""向链表头部添加元素"""
node = Node(item)
if self.is_empty():
self._head = node
else:
node.next = self._head
self._head.prev = node
self._head = node
def append(self, item):
"""尾部添加元素"""
node = Node(item)
if self.is_empty():
self._head = node
else:
cur = self._head
while cur.next is not None:
cur = cur.next
node.prev = cur
cur.next = node
def insert(self, index, item):
""" 指定位置插入元素"""
if index <= 0:
self.add(item)
elif index > self.length() - 1:
self.append(item)
else:
node = Node(item)
cur = self._head
for i in range(index):
cur = cur.next
node.next = cur
node.prev = cur.prev
cur.prev.next = node
cur.prev = node
def remove(self, item):
""" 删除结点 """
if self.is_empty():
return
cur = self._head
if cur.item == item:
if cur.next is None:
self._head = None
return True
else:
self._head = cur.next
cur.next.prev = None
return True
while cur.next is not None:
if cur.item == item:
cur.prev.next = cur.next
cur.next.prev = cur.prev
return True
cur = cur.next
if cur.item == item:
cur.prev.next = None
return True
def find(self, item):
"""查找元素是否存在"""
return item in self.items()