distance = {9149: 0, 9150: 26, 9151: 24, 9152: 24, 9153: 24, 9154: 27, 9155: 25, 9156: 30, 9158: 20, 9159: 22, 9160: 25, 9161: 21, 9163: 25, 9164: 23, 9165: 25, 9166: 30, 9167: 20, 9169: 25, 9170: 24, 9171: 23, 9172: 25, 9173: 24, 9174: 29, 9176: 27, 9177: 25, 9179: 25, 9180: 32, 9181: 25, 9182: 25, 9183: 24, 9184: 25, 9185: 25, 9186: 25, 9188: 26, 9189: 20, 9190: 25, 9191: 27, 9193: 24, 9195: 24, 9196: 24, 9197: 23, 9198: 25, 9199: 25, 9201: 24, 9202: 25, 9203: 24, 9204: 25, 9205: 25, 9206: 25, 9208: 24, 9209: 22, 9210: 23, 9211: 22, 9212: 23, 9215: 25, 9217: 28, 9218: 25, 9219: 25, 9220: 33, 9221: 21, 9222: 25, 9224: 25, 9225: 25, 9226: 25, 9227: 24, 9228: 28, 9230: 22, 9231: 25, 9232: 24, 9233: 25, 9235: 24, 9236: 21, 9237: 22, 9238: 24, 9239: 22, 9240: 20, 9241: 24, 9242: 23, 9245: 22, 9248: 23, 9249: 22, 9250: 22, 9251: 23, 9252: 22, 9253: 22, 9254: 19, 9255: 23, 9256: 21, 9257: 23, 9258: 25, 9259: 23, 9260: 24, 9261: 22, 9263: 22, 9264: 23, 9265: 22, 9266: 22, 9267: 23, 9268: 25, 9269: 22, 9270: 22, 9271: 21, 9274: 24, 9276: 24, 9277: 25, 9279: 28, 9282: 21, 9283: 21, 9285: 22, 9286: 24, 9287: 24, 9289: 24, 9290: 25, 9292: 22, 9293: 22, 9296: 23, 9298: 21, 9299: 23, 9300: 22, 9302: 22, 9303: 25, 9304: 24, 9306: 25, 9307: 25, 9308: 22, 9311: 23, 9312: 25, 9315: 22, 9316: 24, 9317: 23, 9318: 22, 9320: 21, 9321: 28, 9324: 22, 9325: 21, 9328: 22, 9329: 22, 9330: 21, 9331: 25, 9332: 21}

print(distance)

#按value排序

print(sorted(distance.items(),key=lambda  item:item[1]))

#反序

#print(sorted(distance.items(),key=lambda  item:item[1],reverse=True))

#按Key排序

#print(sorted(distance.items(),key=lambda  item:item[0]))

#[(9149, 0), (9254, 19), (9158, 20), (9167, 20), (9189, 20), (9240, 20), (9161, 21), (9221, 21), (9236, 21), (9256, 21), (9271, 21), (9282, 21), (9283, 21), (9298, 21), (9320, 21), (9325, 21), (9330, 21), (9332, 21), (9159, 22), (9209, 22), (9211, 22), (9230, 22), (9237, 22), (9239, 22), (9245, 22), (9249, 22), (9250, 22), (9252, 22), (9253, 22), (9261, 22), (9263, 22), (9265, 22), (9266, 22), (9269, 22), (9270, 22), (9285, 22), (9292, 22), (9293, 22), (9300, 22), (9302, 22), (9308, 22), (9315, 22), (9318, 22), (9324, 22), (9328, 22), (9329, 22), (9164, 23), (9171, 23), (9197, 23), (9210, 23), (9212, 23), (9242, 23), (9248, 23), (9251, 23), (9255, 23), (9257, 23), (9259, 23), (9264, 23), (9267, 23), (9296, 23), (9299, 23), (9311, 23), (9317, 23), (9151, 24), (9152, 24), (9153, 24), (9170, 24), (9173, 24), (9183, 24), (9193, 24), (9195, 24), (9196, 24), (9201, 24), (9203, 24), (9208, 24), (9227, 24), (9232, 24), (9235, 24), (9238, 24), (9241, 24), (9260, 24), (9274, 24), (9276, 24), (9286, 24), (9287, 24), (9289, 24), (9304, 24), (9316, 24), (9155, 25), (9160, 25), (9163, 25), (9165, 25), (9169, 25), (9172, 25), (9177, 25), (9179, 25), (9181, 25), (9182, 25), (9184, 25), (9185, 25), (9186, 25), (9190, 25), (9198, 25), (9199, 25), (9202, 25), (9204, 25), (9205, 25), (9206, 25), (9215, 25), (9218, 25), (9219, 25), (9222, 25), (9224, 25), (9225, 25), (9226, 25), (9231, 25), (9233, 25), (9258, 25), (9268, 25), (9277, 25), (9290, 25), (9303, 25), (9306, 25), (9307, 25), (9312, 25), (9331, 25), (9150, 26), (9188, 26), (9154, 27), (9176, 27), (9191, 27), (9217, 28), (9228, 28), (9279, 28), (9321, 28), (9174, 29), (9156, 30), (9166, 30), (9180, 32), (9220, 33)]

#{9149: 0, 9150: 26, 9151: 24, 9152: 24, 9153: 24, 9154: 27, 9155: 25, 9156: 30, 9158: 20, 9159: 22, 9160: 25, 9161: 21, 9163: 25, 9164: 23, 9165: 25, 9166: 30, 9167: 20, 9169: 25, 9170: 24, 9171: 23, 9172: 25, 9173: 24, 9174: 29, 9176: 27, 9177: 25, 9179: 25, 9180: 32, 9181: 25, 9182: 25, 9183: 24, 9184: 25, 9185: 25, 9186: 25, 9188: 26, 9189: 20, 9190: 25, 9191: 27, 9193: 24, 9195: 24, 9196: 24, 9197: 23, 9198: 25, 9199: 25, 9201: 24, 9202: 25, 9203: 24, 9204: 25, 9205: 25, 9206: 25, 9208: 24, 9209: 22, 9210: 23, 9211: 22, 9212: 23, 9215: 25, 9217: 28, 9218: 25, 9219: 25, 9220: 33, 9221: 21, 9222: 25, 9224: 25, 9225: 25, 9226: 25, 9227: 24, 9228: 28, 9230: 22, 9231: 25, 9232: 24, 9233: 25, 9235: 24, 9236: 21, 9237: 22, 9238: 24, 9239: 22, 9240: 20, 9241: 24, 9242: 23, 9245: 22, 9248: 23, 9249: 22, 9250: 22, 9251: 23, 9252: 22, 9253: 22, 9254: 19, 9255: 23, 9256: 21, 9257: 23, 9258: 25, 9259: 23, 9260: 24, 9261: 22, 9263: 22, 9264: 23, 9265: 22, 9266: 22, 9267: 23, 9268: 25, 9269: 22, 9270: 22, 9271: 21, 9274: 24, 9276: 24, 9277: 25, 9279: 28, 9282: 21, 9283: 21, 9285: 22, 9286: 24, 9287: 24, 9289: 24, 9290: 25, 9292: 22, 9293: 22, 9296: 23, 9298: 21, 9299: 23, 9300: 22, 9302: 22, 9303: 25, 9304: 24, 9306: 25, 9307: 25, 9308: 22, 9311: 23, 9312: 25, 9315: 22, 9316: 24, 9317: 23, 9318: 22, 9320: 21, 9321: 28, 9324: 22, 9325: 21, 9328: 22, 9329: 22, 9330: 21, 9331: 25, 9332: 21}

Python对字典（directory）按key和value排序的更多相关文章

  1. python 根据字典中的key,value进行排序

    #coding=utf-8 import requests,json,collections,base64,datetime def sort(datas): data=json.dumps(data ...

  2. python 对字典分别按照key值、value值进行排序

    1.sorted函数首先介绍sorted函数,sorted(iterable,key,reverse),sorted一共有iterable,key,reverse这三个参数. 其中iterable表示 ...

  3. python 合并字典，相同 key 的 value 如何相加？

    x = { 'apple': 1, 'banana': 2 } y = { 'banana': 10, 'pear': 11 } 需要把两个字典合并,最后输出结果是: { 'apple': 1, 'b ...

  4. iOS_字典数组 按key分组和排序

    int main(int argc, const charchar * argv[]) { @autoreleasepool { // 1.定义一个测试的字典数组 NSMutableArray *di ...

  5. Python对字典分别按键（key）和值（value）进行排序

    使用sorted函数进行排序 sorted(iterable,key,reverse),sorted一共有iterable,key,reverse这三个参数;其中iterable表示可以迭代的对象,例 ...

  6. python 字典操作提取key,value

    python 字典操作提取key,value dictionaryName[key] = value 1.为字典增加一项  2.访问字典中的值  3.删除字典中的一项  4.遍历字典  5.字典遍历的 ...

  7. python获取字典的key列表

    获取字典的所有key: # !/usr/bin/python3.4 # -*- coding: utf-8 -*- b = { 'video':0, 'music':23 } print(list(b ...

  8. python学习笔记 - for循环: 遍历字典, 分别打印key, value, key:value

    #遍历字典, 分别打印key, value, key:value emp = {'name':'Tom', 'age':20, 'salary' : 8800.00} for k in emp.key ...

  9. python中字典以key排序，以value排序。以及通过value找key的方式

    1.sorted函数首先介绍sorted函数,sorted(iterable,key,reverse),sorted一共有iterable,key,reverse这三个参数. 其中iterable表示 ...

  10. python 数据类型 ----字典

    字典由一对key:value 组成的 python中常用且重量级的数据类型 1. key , keys, values 字典由一对key:value 组成的 python中常用且重量级的数据类型 1. ...

随机推荐

  1. 【转】DRY原则的误区

    很多编程的人,喜欢鼓吹各种各样的“原则”,比如KISS原则,DRY原则…… 总有人把这些所谓原则奉为教条或者秘方,以为兢兢业业地遵循这些,空喊几个口号,就可以写出好的代码.同时,他们对违反这些原则的人 ...

  2. 还没被玩坏的robobrowser(4)——从页面上抓取感兴趣的内容

    背景 本节的知识实际上是属于Beautiful Soup的内容. robobrowser支持Beautiful Soup,一般来说通过下面3个方法获取页面上感兴趣的内容 find find_all s ...

  3. （LeetCode）用两个栈实现一个队列

    LeetCode上面的一道题目.原文例如以下: Implement the following operations of a queue using stacks. push(x) -- Push ...

  4. CListCtrl行高问题最终解决方法

    原文链接: http://blog.csdn.net/benny5609/article/details/1967078 解决方案: 1. 设置List Control的属性 Owen Draw Fi ...

  5. Maven for Eclipse 第一章 ——Maven的介绍

    最近深陷与一个无比垃圾的项目无法自拔,好久没有更新文章了.今天简单介绍一下 Maven 在 Eclipse 中的使用.文章的内容几乎出于<Maven for Eclipse>一书,此书言简 ...

  6. 基于TransactionScope类的分布式隐式事务

    System.Transactions 命名空间中除了上一节中提到的基于 Transaction 类的显式编程模型,还提供使用 TransactionScope 类的隐式编程模型,它与显示编程模型相比 ...

  7. Android开发之AsyncTask的使用

    Android API 3时引进了AsyncTask,也叫异步任务.使用它可以很方便的更新主线程中的UI,使用它比Handler.Thread更简单.由于AsyncTask是抽象类,要使用它首先要创建 ...

  8. OpenUDID 实现UDID替代

    http://www.cnblogs.com/zhulin/archive/2012/03/26/2417860.html 补充:还有两个比较通用的开源解决方案: OpenUDID:https://g ...

  9. [hihoCoder] 第四十九周: 欧拉路·一

    题目1 : 欧拉路·一 时间限制:10000ms 单点时限:1000ms 内存限制:256MB 描述 小Hi和小Ho最近在玩一个解密类的游戏,他们需要控制角色在一片原始丛林里面探险,收集道具,并找到最 ...

  10. Android 开发日常积累

    Android 集合 Android 开源项目分类汇总 扔物线的 HenCoder 高级 Android 教程 hencoder HenCoder:给高级 Android 工程师的进阶手册 Andro ...