Python實現(xiàn)棧的方法詳解【基于數(shù)組和單鏈表兩種方法】
本文實例講述了Python實現(xiàn)棧的方法。分享給大家供大家參考,具體如下:
前言
使用Python 實現(xiàn)棧。
兩種實現(xiàn)方式:
- 基于數(shù)組 - 數(shù)組同時基于鏈表實現(xiàn)
- 基于單鏈表 - 單鏈表的節(jié)點時一個實例化的node 對象
完整代碼可見GitHub:
https://github.com/GYT0313/Python-DataStructure/tree/master/5-stack
目錄結(jié)構(gòu):

注:一個完整的代碼并不是使用一個py文件,而使用了多個文件通過繼承方式實現(xiàn)。
1. 超類接口代碼
arraycollection.py
"""
File: abstractcollection.py
Author: Ken Lambert
"""
class AbstractCollection(object):
"""An abstract collection implementation."""
# Constructor
def __init__(self, sourceCollection = None):
"""Sets the initial state of self, which includes the
contents of sourceCollection, if it's present."""
self._size = 0
if sourceCollection:
for item in sourceCollection:
self.add(item)
# Accessor methods
def isEmpty(self):
"""Returns True if len(self) == 0, or False otherwise."""
return len(self) == 0
def __len__(self):
"""Returns the number of items in self."""
return self._size
def __str__(self):
"""Returns the string representation of self."""
return "[" + ", ".join(map(str, self)) + "]"
def __add__(self, other):
"""Returns a new bag containing the contents
of self and other."""
result = type(self)(self)
for item in other:
result.add(item)
return result
def __eq__(self, other):
"""Returns True if self equals other,
or False otherwise."""
if self is other: return True
if type(self) != type(other) or \
len(self) != len(other):
return False
otherIter = iter(other)
for item in self:
if item != next(otherIter):
return False
return True
abstractstack.py
"""
File: abstractstack.py
Author: Ken Lambert
"""
from abstractcollection import AbstractCollection
class AbstractStack(AbstractCollection):
"""An abstract stack implementation."""
# Constructor
def __init__(self, sourceCollection = None):
"""Sets the initial state of self, which includes the
contents of sourceCollection, if it's present."""
AbstractCollection.__init__(self, sourceCollection)
# Mutator methods
def add(self, item):
"""Adds item to self."""
self.push(item)
2. 基于數(shù)組
運行示例:

代碼:
棧實現(xiàn):arraystack.py
"""
File: abstractstack.py
Author: Ken Lambert
"""
from abstractcollection import AbstractCollection
class AbstractStack(AbstractCollection):
"""An abstract stack implementation."""
# Constructor
def __init__(self, sourceCollection = None):
"""Sets the initial state of self, which includes the
contents of sourceCollection, if it's present."""
AbstractCollection.__init__(self, sourceCollection)
# Mutator methods
def add(self, item):
"""Adds item to self."""
self.push(item)
數(shù)組實現(xiàn):arrays.py
"""
File: arrays.py
An Array is a restricted list whose clients can use
only [], len, iter, and str.
To instantiate, use
<variable> = array(<capacity>, <optional fill value>)
The fill value is None by default.
"""
class Array(object):
"""Represents an array."""
def __init__(self, capacity, fillValue = None):
"""Capacity is the static size of the array.
fillValue is placed at each position."""
self._items = list()
for count in range(capacity):
self._items.append(fillValue)
def __len__(self):
"""-> The capacity of the array."""
return len(self._items)
def __str__(self):
"""-> The string representation of the array."""
return str(self._items)
def __iter__(self):
"""Supports iteration over a view of an array."""
return iter(self._items)
def __getitem__(self, index):
"""Subscript operator for access at index."""
return self._items[index]
def __setitem__(self, index, newItem):
"""Subscript operator for replacement at index."""
self._items[index] = newItem
3. 基于鏈表
運行示例:

代碼:
linkedstack.py
"""
linkedstack.py
"""
from node import Node
from abstractstack import AbstractStack
class LinkedStack(AbstractStack):
"""基于單鏈表實現(xiàn)棧-鏈表頭部為棧頂"""
def __init__(self, source_collection=None):
self._items = None
AbstractStack.__init__(self, source_collection)
def __iter__(self):
"""迭代-使用一個列表實現(xiàn), 列表第一項為單鏈表的最后一項"""
def visit_nodes(node):
if node != None:
visit_nodes(node.next)
temp_list.append(node.data)
temp_list = []
visit_nodes(self._items)
return iter(temp_list)
def peek(self):
"""返回棧頂元素"""
self._prior_condition()
return self._items.data
def clear(self):
"""清空列表"""
self._size = 0
self._items = None
def push(self, item):
"""入棧"""
self._items = Node(item, self._items)
self._size += 1
def pop(self):
"""出棧"""
self._prior_condition()
old_item = self._items.data
self._items = self._items.next
self._size -= 1
return old_item
def _prior_condition(self):
if self._size == 0:
raise KeyError("The stack is empty.")
node.py
"""
鏈表結(jié)構(gòu)的節(jié)點類
"""
class Node(object):
def __init__(self, data, next=None):
self.data = data
self.next = next
參考:《數(shù)據(jù)結(jié)構(gòu)(Python語言描述)》
更多關(guān)于Python相關(guān)內(nèi)容感興趣的讀者可查看本站專題:《Python數(shù)據(jù)結(jié)構(gòu)與算法教程》、《Python加密解密算法與技巧總結(jié)》、《Python編碼操作技巧總結(jié)》、《Python函數(shù)使用技巧總結(jié)》、《Python字符串操作技巧匯總》及《Python入門與進階經(jīng)典教程》
希望本文所述對大家Python程序設(shè)計有所幫助。
- python數(shù)據(jù)結(jié)構(gòu)學(xué)習(xí)之實現(xiàn)線性表的順序
- python數(shù)據(jù)結(jié)構(gòu)之線性表的順序存儲結(jié)構(gòu)
- python實現(xiàn)單鏈表的方法示例
- python如何實現(xiàn)單鏈表的反轉(zhuǎn)
- Python單鏈表原理與實現(xiàn)方法詳解
- Python棧的實現(xiàn)方法示例【列表、單鏈表】
- python實現(xiàn)從尾到頭打印單鏈表操作示例
- 用python介紹4種常用的單鏈表翻轉(zhuǎn)的方法小結(jié)
- python版單鏈表反轉(zhuǎn)
- Python線性表種的單鏈表詳解
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