Home > Backend Development > Python Tutorial > Detailed explanation of Python data structure singly linked list with examples

Detailed explanation of Python data structure singly linked list with examples

巴扎黑
Release: 2017-09-13 09:46:29
Original
1206 people have browsed it

This article mainly introduces the relevant information of the singly linked list of Python data structure in detail. It has certain reference value. Interested friends can refer to it.

The examples in this article share Python with everyone. The specific code of the single linked list of the data structure is for your reference. The specific content is as follows


# 节点类
class Node():
  __slots__=['_item','_next'] # 限定Node实例的属性
  def __init__(self,item):
    self._item = item
    self._next = None # Node的指针部分默认指向None
  def getItem(self):
    return self._item
  def getNext(self):
    return self._next
  def setItem(self,newitem):
    self._item = newitem
  def setNext(self,newnext):
    self._next=newnext

# 单链表
class SingleLinkedList():
  def __init__(self):
    self._head = None #初始化链表为空 始终指向链表的头部
    self._size = 0 # 链表大小

  # 返回链表的大小
  def size(self):
    current = self._head
    count = 0
    while current != None:
      count += 1
      current = current.getNext()
    return count

  # 遍历链表
  def travel(self):
    current = self._head
    while current != None:
      print(current.getItem())
      current = current.getNext()
  # 检查链表是否为空
  def isEmpty(self):
    return self._head == None

  # 在链表前端添加元素
  def add(self,item):
    temp = Node(item) # 创建新的节点
    temp.setNext(self._head) # 新创建的next指针指向_head
    self._head = temp # _head指向新创建的指针

  # 在链表尾部添加元素
  def append(self,item):
    temp = Node(item)
    if self.isEmpty():
      self._head = temp # 若为空表就直接插入
    else:
      current = self._head
      while current.getNext() != None:
        current = current.getNext() # 遍历列表
      current.setNext(temp) # 此时current为链表最后的元素,在末尾插入

  # 检索元素是否在链表中
  def search(self,item):
    current = self._head
    founditem = False
    while current != None and not founditem:
      if current.getItem() == item:
        founditem = True
      else:
        current = current.getNext()
    return founditem

  # 索引元素在表中的位置
  def index(self,item):
    current = self._head
    count = 0
    found = None
    while current != None and not found:
      count += 1
      if current.getItem() == item:
        found = True
      else:
        current = current.getNext()
    if found:
      return count
    else:
      return -1 # 返回-1表示不存在

  # 删除表中的某项元素
  def remove(self,item):
    current = self._head
    pre = None
    while current!=None:
      if current.getItem() == item:
        if not pre:
          self._head = current.getNext()
        else:
          pre.setNext(current.getNext())
        break
      else:
        pre = current
        current = current.getNext()

  # 在链表任意位置插入元素
  def insert(self,pos,item):
    if pos <= 1:
      self.add(item)
    elif pos > self.size():
      self.append(item)
    else:
      temp = Node(item)
      count = 1
      pre = None
      current = self._head
      while count < pos:
        count += 1
        pre = current
        current = current.getNext()
      pre.setNext(temp)
      temp.setNext(current)


if __name__==&#39;__main__&#39;:
  a=SingleLinkedList()
  for i in range(1,10):
    a.append(i)
  print(&#39;链表的大小&#39;,a.size())
  a.travel()
  print(a.search(6))
  print(a.index(5))
  a.remove(4)
  a.travel()
  a.insert(4,100)
  a.travel()
Copy after login

The above is the detailed content of Detailed explanation of Python data structure singly linked list with examples. For more information, please follow other related articles on the PHP Chinese website!

source:php.cn
Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
Popular Tutorials
More>
Latest Downloads
More>
Web Effects
Website Source Code
Website Materials
Front End Template