python请选择使用顺序表或链表(单链表或双链表)实现以下操作。要求设计菜单,根据菜单提示进行操作:插入一个新元素到第i个位置;删除第i个位置的元素;显示线性表中所有元素的值;检索表中第i个元素;求表的长度等运算。
时间: 2024-10-25 22:08:10 浏览: 26
在Python中,我们可以选择使用链表来实现这个操作,因为链表更适合频繁的插入和删除操作,尤其是单链表。以下是使用Python实现一个简单的链表数据结构以及对应的操作:
```python
class Node:
def __init__(self, data=None):
self.data = data
self.next = None
class LinkedList:
def __init__(self):
self.head = None
# 插入元素到第i个位置
def insert_at(self, i, data):
if not self.head:
self.head = Node(data)
else:
current = self.head
for _ in range(i - 1):
if current.next is None:
break
current = current.next
new_node = Node(data)
new_node.next = current.next
current.next = new_node
# 删除第i个位置的元素
def delete_at(self, i):
if not self.head or i < 1:
return
if i == 1:
self.head = self.head.next
else:
current = self.head
for _ in range(i - 2):
if current.next is None:
break
current = current.next
current.next = current.next.next
# 显示所有元素
def display(self):
elements = []
current = self.head
while current:
elements.append(current.data)
current = current.next
print(elements)
# 检索第i个元素
def retrieve(self, i):
if i <= 0:
return None
current = self.head
for _ in range(i):
if current is None:
break
current = current.next
return current.data if current else None
# 计算表长
def length(self):
count = 0
current = self.head
while current:
count += 1
current = current.next
return count
# 菜单操作示例
ll = LinkedList()
# ... (根据需求调用上述方法)
```
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