Python与数据结构[1] -> 栈/Stack[0] -> 链表栈与数组栈的 Python 实现

/ Stack


目录

  1. 链表栈
  2. 数组栈

 

栈是一种基本的线性数据结构(先入后出FILO),在 C 语言中有链表和数组两种实现方式,下面用 Python 对这两种栈进行实现。

1 链表栈

链表栈是以单链表为基础实现的栈数据结构,主要有以下几个关键点:

  1. 栈顶元素:栈顶元素即为链表的头结点
  2. 压栈:向链表的头结点插进入栈元素,无表头链表则替换插入元素为头结点
  3. 弹栈:弹出链表头结点,并将链表头结点替换为下一个元素
Stack based on linked list:
        | item3 |
        |   |   |
        |   V   |
        | item2 |
        |   |   |
        |   V   |
        | item1 |
         -------

完整代码

  1 class StackEmptyException(Exception): pass
  2 
  3 
  4 class StackFullException(Exception): pass
  5 
  6 
  7 class Node:
  8     def __init__(self, val=None, nxt=None):
  9         self.value = val
 10         self.next = nxt
 11 
 12     def __str__(self):
 13         return str(self.value)
 14 
 15 
 16 class Stack:
 17     """
 18     Stack based on linked list:
 19         | item3 |
 20         |   |   |
 21         |   V   |
 22         | item2 |
 23         |   |   |
 24         |   V   |
 25         | item1 |
 26          -------
 27     """
 28     def __init__(self, max=0):
 29         self._top = None
 30         self._max = 0
 31         self.max = max
 32 
 33     @property
 34     def max(self):
 35         return self._max
 36 
 37     @max.setter
 38     def max(self, m):
 39         m = int(m)
 40         if m < self.length:
 41             raise Exception('Resize stack failed, please pop some elements first.')
 42         self._max = m
 43         if self._max < 0:
 44             self._max = 0
 45 
 46     def init(self, iterable=()):
 47         if not iterable:
 48             return
 49         self._top = Node(iterable[0])
 50         for i in iterable[1:]:
 51             node = self._top
 52             self._top = Node(i)
 53             self._top.next = node
 54         
 55     def show(self):
 56         def _traversal(self):
 57             node = self._top
 58             while node and node.next:
 59                 yield node
 60                 node = node.next
 61             yield node
 62         print('\n'.join(map(lambda x: '|{:^7}|'.format(str(x)), _traversal(self)))+'\n '+7*'-')
 63 
 64     @property
 65     def length(self):
 66         if self._top is None:
 67             return 0
 68         node = self._top
 69         i = 1
 70         while node.next:
 71             node = node.next
 72             i += 1
 73         return i
 74 
 75     @property
 76     def is_empty(self):
 77         return self._top is None
 78 
 79     @property
 80     def is_full(self):
 81         return bool(self._max and self.length == self._max)
 82 
 83     def push(self, item):
 84         if self.is_full:
 85             raise StackFullException('Error: trying to push element into a full stack!')
 86         if not self._top:
 87             self._top = Node(item)
 88             return
 89         node = self._top
 90         self._top = Node(item)
 91         self._top.next = node
 92 
 93     def pop(self):
 94         if self.is_empty:
 95             raise StackEmptyException('Error: trying to pop element from an empty stack!')
 96         node = self._top
 97         self._top = self._top.next
 98         return node.value
 99 
100     def top(self):
101         return self._top.value if self._top else self._top
102 
103     def clear(self):
104         while self._top:
105             self.pop()
106 
107 
108 def test(stack):
109     print('\nShow stack:')
110     stack.show()
111 
112     print('\nInit linked list:')
113     stack.init([1, 2, 3, 4, 5])
114     stack.show()
115 
116     print('\nPush element to stack:')
117     stack.push(6)
118     stack.push(7)
119     stack.push('like')
120     stack.show()
121 
122     print('\nCheck top element:')
123     print(stack.top())
124 
125     print('\nPop element from stack:')
126     e = stack.pop()
127     print('Element %s popped,' % e)
128     stack.show()
129 
130     print('\nSet stack max size:')
131     try:
132         stack.max = 1
133     except Exception as e:
134         print(e)
135 
136     print('\nSet stack max size:')
137     stack.max = 7
138     print(stack.max)
139 
140     print('\nPush full stack:')
141     try:
142         stack.push(7)
143     except StackFullException as e:
144         print(e)
145 
146     print('\nClear stack:')
147     stack.clear()
148     stack.show()
149 
150     print('\nStack is empty:')
151     print(stack.is_empty)
152 
153     print('\nPop empty stack:')
154     try:
155         stack.pop()
156     except StackEmptyException as e:
157         print(e)
158 
159 if __name__ == '__main__':
160     test(Stack())
View Code

分段解释
以链表为基础的栈实现,首先需要定义链表结点,以及栈满压栈和栈空弹栈的异常类,

 1 class StackEmptyException(Exception): pass
 2 
 3 
 4 class StackFullException(Exception): pass
 5 
 6 
 7 class Node:
 8     def __init__(self, val=None, nxt=None):
 9         self.value = val
10         self.next = nxt
11 
12     def __str__(self):
13         return str(self.value)

定义栈类,主要包括两个属性,即栈顶元素和栈大小,

 1 class Stack:
 2     """
 3     Stack based on linked list:
 4         | item3 |
 5         |   |   |
 6         |   V   |
 7         | item2 |
 8         |   |   |
 9         |   V   |
10         | item1 |
11          -------
12     """
13     def __init__(self, max=0):
14         self._top = None
15         self._max = 0
16         self.max = max

定义栈最大容量max为属性方法,当设置栈的最大容量值时,若传入的大小小于当前栈大小则提示异常,若传入0或负数大小,则设为无限容量的栈。

 1     @property
 2     def max(self):
 3         return self._max
 4 
 5     @max.setter
 6     def max(self, m):
 7         m = int(m)
 8         if m < self.length:
 9             raise Exception('Resize stack failed, please pop some elements first.')
10         self._max = m
11         if self._max < 0:
12             self._max = 0

定义栈的init方法,用于初始化一个可迭代对象为栈结构,接受一个可迭代对象,当空栈时以第一个元素为栈顶,随后依次压栈,最后入栈的元素为栈顶元素。

1     def init(self, iterable=()):
2         if not iterable:
3             return
4         self._top = Node(iterable[0])
5         for i in iterable[1:]:
6             node = self._top
7             self._top = Node(i)
8             self._top.next = node

定义栈的show方法,用于显示栈,首先遍历栈元素,然后依照格式化输出,当空栈时则栈顶/底元素为None。

1     def show(self):
2         def _traversal(self):
3             node = self._top
4             while node and node.next:
5                 yield node
6                 node = node.next
7             yield node
8         print('\n'.join(map(lambda x: '|{:^7}|'.format(str(x)), _traversal(self)))+'\n '+7*'-')

定义栈的length属性方法,用于返回当前栈内元素数量,通过链表遍历计数实现(类似获取链表长度)。

 1     @property
 2     def length(self):
 3         if self._top is None:
 4             return 0
 5         node = self._top
 6         i = 1
 7         while node.next:
 8             node = node.next
 9             i += 1
10         return i

定义栈的is_empty属性方法,用于判断栈是否为空栈。

1     @property
2     def is_empty(self):
3         return self._top is None

定义栈的is_full属性方法,用于判断栈容量是否已满。

1     @property
2     def is_full(self):
3         return bool(self._max and self.length == self._max)

定义栈的push方法,用于实现压栈过程,即向栈链前端插入入栈元素,栈满压栈则提示异常。

1     def push(self, item):
2         if self.is_full:
3             raise StackFullException('Error: trying to push element into a full stack!')
4         if not self._top:
5             self._top = Node(item)
6             return
7         node = self._top
8         self._top = Node(item)
9         self._top.next = node

定义栈的pop方法,用于实现弹栈过程,弹出栈顶元素并替换栈顶元素为下一个元素,栈空弹栈则提示异常。

1     def pop(self):
2         if self.is_empty:
3             raise StackEmptyException('Error: trying to pop element from an empty stack!')
4         node = self._top
5         self._top = self._top.next
6         return node.value

定义栈的top方法,用于获取栈顶元素,当栈顶元素为None时,返回None。

1     def top(self):
2         return self._top.value if self._top else self._top

定义栈的clear方法,用于清空栈,即依次弹栈至空栈。

1     def clear(self):
2         while self._top:
3             self.pop()

最后定义一个测试函数,用于对栈类进行操作测试。

首先实例化一个栈,并将一个列表元素依次压入栈中,最后显示栈元素

1 def test(stack):
2     print('\nShow stack:')
3     stack.show()
4 
5     print('\nInit linked list:')
6     stack.init([1, 2, 3, 4, 5])
7     stack.show()

得到结果

 1 Show stack:
 2 | None  |
 3  -------
 4 
 5 Init linked list:
 6 |   5   |
 7 |   4   |
 8 |   3   |
 9 |   2   |
10 |   1   |
11  -------

执行压栈操作,将元素压入栈中,

1     print('\nPush element to stack:')
2     stack.push(6)
3     stack.push(7)
4     stack.push('like')
5     stack.show()

得到结果

Push element to stack:
| like  |
|   7   |
|   6   |
|   5   |
|   4   |
|   3   |
|   2   |
|   1   |
 -------

检测栈顶元素并弹出栈顶元素

1     print('\nCheck top element:')
2     print(stack.top())
3 
4     print('\nPop element from stack:')
5     e = stack.pop()
6     print('Element %s popped,' % e)
7     stack.show()

得到结果

Check top element:
like

Pop element from stack:
Element like popped,
|   7   |
|   6   |
|   5   |
|   4   |
|   3   |
|   2   |
|   1   |
 -------

尝试修改栈的最大容量,当修改容量小于当前栈内元素数量时,将会触发异常

1     print('\nSet stack max size:')
2     try:
3         stack.max = 1
4     except Exception as e:
5         print(e)
6 
7     print('\nSet stack max size:')
8     stack.max = 7
9     print(stack.max)

得到结果

Set stack max size:
Resize stack failed, please pop some elements first.

Set stack max size:
7

尝试对一个满元素栈进行压栈操作,将引发异常

1     print('\nPush full stack:')
2     try:
3         stack.push(7)
4     except StackFullException as e:
5         print(e)

得到结果

Push full stack:
Error: trying to push element into a full stack!

随后清空栈,并检查栈是否为空,最后尝试对空栈进行弹栈操作,同样会引发一个异常

 1     print('\nClear stack:')
 2     stack.clear()
 3     stack.show()
 4 
 5     print('\nStack is empty:')
 6     print(stack.is_empty)
 7 
 8     print('\nPop empty stack:')
 9     try:
10         stack.pop()
11     except StackEmptyException as e:
12         print(e)

得到结果

Clear stack:
| None  |
 -------

Stack is empty:
True

Pop empty stack:
Error: trying to pop element from an empty stack!

  

2 数组栈

数组栈是栈的另一种实现方式,在C语言中以数组的形式实现,而在Python中,则可以使用与数组类似的列表进行实现。

Stack based on array/list:
        |   4   |
        |   3   |
        |   2   |
        |   1   |
         -------

数组栈中需要实现的方法接口与链表栈相同。只是在数据存储时由链表变成了数组/列表。由于Python的列表本身即是一种很方便的线性结构,因此数组栈的实现十分简单。

完整代码

 1 from linked_list_stack import StackEmptyException, StackFullException, test
 2 
 3 
 4 class Stack:
 5     """
 6     Stack based on array/list:
 7         |   4   |
 8         |   3   |
 9         |   2   |
10         |   1   |
11          -------
12     """
13     def __init__(self, max=0):
14         self._array = []
15         self._max = 0
16         self.max = max
17 
18     @property
19     def max(self):
20         return self._max
21 
22     @max.setter
23     def max(self, m):
24         m = int(m)
25         if m < self.length:
26             raise Exception('Resize stack failed, please pop some elements first.')
27         self._max = m
28         if self._max < 0:
29             self._max = 0
30 
31     def init(self, iterable=()):
32         if not iterable:
33             return
34         for i in iterable:
35             self._array.append(i)
36         
37     def show(self):
38         def _traversal(self):
39             if not self._array:
40                 return [None]
41             return self._array[::-1]
42         print('\n'.join(map(lambda x: '|{:^7}|'.format(str(x)), _traversal(self)))+'\n '+7*'-')
43 
44     @property
45     def length(self):
46         return len(self._array)
47 
48     @property
49     def is_empty(self):
50         return self._array == []
51 
52     @property
53     def is_full(self):
54         return bool(self._max and self.length == self._max)
55 
56     def push(self, item):
57         if self.is_full:
58             raise StackFullException('Error: trying to push element into a full stack!')
59         self._array.append(item)
60 
61     def pop(self):
62         if self.is_empty:
63             raise StackEmptyException('Error: trying to pop element from an empty stack!')
64         return self._array.pop()
65 
66     def top(self):
67         return self._array[-1]
68 
69     def clear(self):
70         # self._array = []
71         while self._array:
72             self.pop()
73 
74 
75 if __name__ == '__main__':
76     test(Stack())
View Code

分段解释

首先从链表栈中导入两个异常类和测试函数,

1 from linked_list_stack import StackEmptyException, StackFullException, test

然后定义栈类,与链表栈不同的地方在于,存储数据的方式换成了列表

 1 class Stack:
 2     """
 3     Stack based on array/list:
 4         |   4   |
 5         |   3   |
 6         |   2   |
 7         |   1   |
 8          -------
 9     """
10     def __init__(self, max=0):
11         self._array = []
12         self._max = 0
13         self.max = max

与前面的链表栈一样,定义栈的容量。

 1     @property
 2     def max(self):
 3         return self._max
 4 
 5     @max.setter
 6     def max(self, m):
 7         m = int(m)
 8         if m < self.length:
 9             raise Exception('Resize stack failed, please pop some elements first.')
10         self._max = m
11         if self._max < 0:
12             self._max = 0

定义栈的init方法,添加入栈元素时只需要在列表末尾加入元素即可,

1     def init(self, iterable=()):
2         if not iterable:
3             return
4         for i in iterable:
5             self._array.append(i)

下面的几个方法与链表栈类似,只是操作时换成了对数组列表的检测,

 1     def show(self):
 2         def _traversal(self):
 3             if not self._array:
 4                 return [None]
 5             return self._array[::-1]
 6         print('\n'.join(map(lambda x: '|{:^7}|'.format(str(x)), _traversal(self)))+'\n '+7*'-')
 7 
 8     @property
 9     def length(self):
10         return len(self._array)
11 
12     @property
13     def is_empty(self):
14         return self._array == []
15 
16     @property
17     def is_full(self):
18         return bool(self._max and self.length == self._max)

定义栈的push方法,实现压栈操作,压栈只需要对列表进行append即可,

1     def push(self, item):
2         if self.is_full:
3             raise StackFullException('Error: trying to push element into a full stack!')
4         self._array.append(item)

定义栈的pop方法,实现弹栈操作,弹栈只需要对列表进行pop即可,

1     def pop(self):
2         if self.is_empty:
3             raise StackEmptyException('Error: trying to pop element from an empty stack!')
4         return self._array.pop()

定义栈的top方法,实现栈顶元素获取,返回列表最后一位元素即可,

1     def top(self):
2         return self._array[-1]

定义栈的clear方法,实现栈的清空操作,可以直接清空数组列表或依次将栈内元素弹出栈,

1     def clear(self):
2         # self._array = []
3         while self._array:
4             self.pop()

最后,利用测试函数对数组栈进行测试

1 if __name__ == '__main__':
2     test(Stack())

得到结果与链表栈相同

Show stack:
| None  |
 -------

Init linked list:
|   5   |
|   4   |
|   3   |
|   2   |
|   1   |
 -------

Push element to stack:
| like  |
|   7   |
|   6   |
|   5   |
|   4   |
|   3   |
|   2   |
|   1   |
 -------

Check top element:
like

Pop element from stack:
Element like popped,
|   7   |
|   6   |
|   5   |
|   4   |
|   3   |
|   2   |
|   1   |
 -------

Set stack max size:
Resize stack failed, please pop some elements first.

Set stack max size:
7

Push full stack:
Error: trying to push element into a full stack!

Clear stack:
| None  |
 -------

Stack is empty:
True

Pop empty stack:
Error: trying to pop element from an empty stack!

 

相关阅读


1. 单链表

posted @ 2018-01-14 21:58  StackLike  阅读(1399)  评论(0编辑  收藏  举报