双向队列(deque)

一个线程安全的双向队列

1、创建一个双向队列

import collections

d = collections.deque()

d.append('')
d.appendleft('')
d.appendleft('a')
d.appendleft('')

2、查看双向队列

print(d)

输出结果:
deque(['', 'a', '', ''])

3、查看双向队列的方法

>>> dir(d)
['__class__', '__copy__', '__delattr__', '__delitem__', '__dir__', '__doc__', '__eq__', '__format__', '__ge__', '__getattribute__', '__getitem__', '__gt__', '__hash__', '__iadd__', '__init__', '__iter__', '__le__', '__len__', '__lt__', '__ne__', '__new__', '__reduce__', '__reduce_ex__', '__repr__', '__reversed__', '__setattr__', '__setitem__', '__sizeof__', '__str__', '__subclasshook__', 'append', 'appendleft', 'clear', 'count', 'extend', 'extendleft', 'maxlen', 'pop', 'popleft', 'remove', 'reverse', 'rotate']
class deque(object):
"""
deque([iterable[, maxlen]]) --> deque object Build an ordered collection with optimized access from its endpoints.
"""
def append(self, *args, **kwargs): # real signature unknown
""" Add an element to the right side of the deque. """
pass def appendleft(self, *args, **kwargs): # real signature unknown
""" Add an element to the left side of the deque. """
pass def clear(self, *args, **kwargs): # real signature unknown
""" Remove all elements from the deque. """
pass def count(self, value): # real signature unknown; restored from __doc__
""" D.count(value) -> integer -- return number of occurrences of value """
return 0 def extend(self, *args, **kwargs): # real signature unknown
""" Extend the right side of the deque with elements from the iterable """
pass def extendleft(self, *args, **kwargs): # real signature unknown
""" Extend the left side of the deque with elements from the iterable """
pass def pop(self, *args, **kwargs): # real signature unknown
""" Remove and return the rightmost element. """
pass def popleft(self, *args, **kwargs): # real signature unknown
""" Remove and return the leftmost element. """
pass def remove(self, value): # real signature unknown; restored from __doc__
""" D.remove(value) -- remove first occurrence of value. """
pass def reverse(self): # real signature unknown; restored from __doc__
""" D.reverse() -- reverse *IN PLACE* """
pass def rotate(self, *args, **kwargs): # real signature unknown
""" Rotate the deque n steps to the right (default n=1). If n is negative, rotates left. """
pass def __copy__(self, *args, **kwargs): # real signature unknown
""" Return a shallow copy of a deque. """
pass def __delitem__(self, y): # real signature unknown; restored from __doc__
""" x.__delitem__(y) <==> del x[y] """
pass def __eq__(self, y): # real signature unknown; restored from __doc__
""" x.__eq__(y) <==> x==y """
pass def __getattribute__(self, name): # real signature unknown; restored from __doc__
""" x.__getattribute__('name') <==> x.name """
pass def __getitem__(self, y): # real signature unknown; restored from __doc__
""" x.__getitem__(y) <==> x[y] """
pass def __ge__(self, y): # real signature unknown; restored from __doc__
""" x.__ge__(y) <==> x>=y """
pass def __gt__(self, y): # real signature unknown; restored from __doc__
""" x.__gt__(y) <==> x>y """
pass def __iadd__(self, y): # real signature unknown; restored from __doc__
""" x.__iadd__(y) <==> x+=y """
pass def __init__(self, iterable=(), maxlen=None): # known case of _collections.deque.__init__
"""
deque([iterable[, maxlen]]) --> deque object Build an ordered collection with optimized access from its endpoints.
# (copied from class doc)
"""
pass def __iter__(self): # real signature unknown; restored from __doc__
""" x.__iter__() <==> iter(x) """
pass def __len__(self): # real signature unknown; restored from __doc__
""" x.__len__() <==> len(x) """
pass def __le__(self, y): # real signature unknown; restored from __doc__
""" x.__le__(y) <==> x<=y """
pass def __lt__(self, y): # real signature unknown; restored from __doc__
""" x.__lt__(y) <==> x<y """
pass @staticmethod # known case of __new__
def __new__(S, *more): # real signature unknown; restored from __doc__
""" T.__new__(S, ...) -> a new object with type S, a subtype of T """
pass def __ne__(self, y): # real signature unknown; restored from __doc__
""" x.__ne__(y) <==> x!=y """
pass def __reduce__(self, *args, **kwargs): # real signature unknown
""" Return state information for pickling. """
pass def __repr__(self): # real signature unknown; restored from __doc__
""" x.__repr__() <==> repr(x) """
pass def __reversed__(self): # real signature unknown; restored from __doc__
""" D.__reversed__() -- return a reverse iterator over the deque """
pass def __setitem__(self, i, y): # real signature unknown; restored from __doc__
""" x.__setitem__(i, y) <==> x[i]=y """
pass def __sizeof__(self): # real signature unknown; restored from __doc__
""" D.__sizeof__() -- size of D in memory, in bytes """
pass maxlen = property(lambda self: object(), lambda self, v: None, lambda self: None) # default
"""maximum size of a deque or None if unbounded""" __hash__ = None

deque

4、双向队列常用的方法

# append 右添加  appendleft 左添加 

import collections

d = collections.deque()
d.append('')
d.appendleft('a') print(d) 输出结果:
deque(['a', ''])
# count 统计队列中某元素出现的次数

import collections

d = collections.deque()

d.append('')
d.appendleft('a')
d.appendleft('') print(d) r = d.count('') print(r) 输出结果:
deque(['', 'a', ''])
2
# extend 右添加多个值 extendleft 左添加多个值

import collections

d = collections.deque()

d.append('')
d.appendleft('a')
d.appendleft('')
print(d) d.extend(['root', 'gm'])
print(d) d.extendleft(['root', 'gm'])
print(d) 输出结果:
deque(['', 'a', ''])
deque(['', 'a', '', 'root', 'gm'])
deque(['gm', 'root', '', 'a', '', 'root', 'gm'])
# rotate 把队列中最后的#个数放到最前面

import collections

d = collections.deque()

d.append('')
d.appendleft('')
d.appendleft('a')
d.appendleft('b') print(d) d.rotate(2) print(d) 输出结果:
deque(['b', 'a', '', ''])
deque(['', '', 'b', 'a'])
# 其他还有pop、remove、reverse<翻转>之类的方法

Python collections系列之双向队列的更多相关文章

  1. Python collections系列之单向队列

    单向队列(deque) 单项队列(先进先出 FIFO ) 1.创建单向队列 import queue q = queue.Queue() q.put(') q.put('evescn') 2.查看单向 ...

  2. Python collections系列之有序字典

    有序字典(orderedDict ) orderdDict是对字典类型的补充,他记住了字典元素添加的顺序 1.创建一个有序字典 import collections dic = collections ...

  3. Python collections系列之可命名元组

    可命名元组(namedtuple)  根据nametuple可以创建一个包含tuple所有功能以及其他功能的类 1.创建一个坐标类 import collections # 创建类, defaultd ...

  4. Python collections系列之默认字典

    默认字典(defaultdict)  defaultdict是对字典的类型的补充,它默认给字典的值设置了一个类型. 1.创建默认字典 import collections dic = collecti ...

  5. Python collections系列之计数器

    计数器(counter) Counter是对字典(无序)类型的补充,用于追踪值的出现次数. 使用counter需要导入 collections 类 ps:具备字典的所有功能 + 自己的功能 1.创建一 ...

  6. 简单介绍python的双向队列

    介绍 大家都知道利用 .append 和 .pop 方法,我们可以把列表当作栈或者队列来用(比如,把 append 和 pop(0) 合起来用,就能模拟栈的“先进先出”的特点).但是删除列表的第一个元 ...

  7. collections之deque【双向队列】与Queue【单向队列】

    今天来向大家介绍两个队列,一个是deque,双向队列,另外一个是Queue,单向队列,队列和堆栈不同,队列为先进先出,大家还需要注意一下,双向队列为collections模块中的类,而Queue为qu ...

  8. python collection系列

    collection系列 不常用功能,需要进行模块功能导入: import collection Counter 常用方法测试: #!/usr/local/env python3 ''' Author ...

  9. Python 第三篇(下):collections系列、集合(set)、单双队列、深浅copy、内置函数

     一.collections系列: collections其实是python的标准库,也就是python的一个内置模块,因此使用之前导入一下collections模块即可,collections在py ...

随机推荐

  1. Docker容器技术-Docker架构

    一.Docker系统架构 1.Docker基础架构 1)Docker守护进程 负责容器的创建.运行和监控,以及镜像的构建和存储. docker daemon 2)Docker客户端 通过HTTP与Do ...

  2. Java Collection API

    在 Java2中,有一套设计优良的接口和类组成了Java集合框架Collection,使程序员操作成批的数据或对象元素极为方便.这些接口和类有很多对抽象数据类型操作的API,而这是我们常用的且在数据结 ...

  3. C#多线程学习之Thread

    using System; using System.Collections.Generic; using System.Linq; using System.Text; using System.T ...

  4. iOS开发过程中常见错误问题及解决方案

    错误原因:ld: x duplicate symbol for architecture x86_64 clang: error: linker command failed with exit co ...

  5. Unity Json 之三

    今天在网上看到一个simplejson,直接调用这两个API就可以了,简单易用 string jsonstr = SimpleJson.SimpleJson.SerializeObject(json) ...

  6. [RK3288][Android6.0] USB OTG模式及切换【转】

    本文转载自:https://blog.csdn.net/kris_fei/article/details/78620960 Platform: RK3288 OS: Android 6.0 Kerne ...

  7. Gitblit搭建及Git协作开发流程

    1. 概述 目前主流的是git作为自己代码管理,但是采用github需要付费才能够使用,如果不付费,代码需要公开.创业团队及小型开发团队都有必要搭建自己的代码服务器,自己摸索需要一定的时间,会赶不及项 ...

  8. 关于发邮件报错535 Error:authentication failed&553 authentication is required

    553 authentication is required:这个错误的意思是你必须需要认证. 也就是说,你连接smtp服务器的时候必须使用密码来连接:下面代码红色那句 代码: @Override p ...

  9. XML 的解析方法

    四种XML解析方法: (1)Dom生成和解析XML文档 *解析器读入整个文档,然后构建一个驻留内存的树结构,然后代码就可以使用 DOM 接口来操作这个树结构.     * 优点:整个文档树在内存中,便 ...

  10. Codeforces Round #285 (Div. 2) A, B , C 水, map ,拓扑

    A. Contest time limit per test 1 second memory limit per test 256 megabytes input standard input out ...