To add up all the numbers in a list, you can use a loop like this:

Total is initialized to 0. Each time through the loop, x gets one element from the list. the += operator provides a short way to update a variable:

Total += x is equivalent to: total = total + x

As the loop executes, total accumulates the sum of the elements; a variable used this way is sometimes called an accumulator. Adding up the elements of a list is such a common operation that Python provides it as a built-in function, sum:

An operation like this that combines a sequence of elements into a single value is sometimes called reduce. Sometimes you want to traverse one list while building another. For example, the following function takes a list of strings and returns a new list that contains capitalized strings:

res is initialized with an empty list; each time through the loop, we append the next element. So res is another kind of accumulator. An operation like capitalize_all is sometimes called a map because it ‘maps’ a function (in this case the method capitalize) onto each of the elements in a sequence.

Another common operation is to select some of the elements from a list and return a sublist. For example, the following function takes a list of strings and returns a list that contain only the uppercase strings:

isupper is a string method that returns True if the string contains only upper case letters. An operation like only_upper is called a filter because it selects some of the elements and filters out the others.

Most common list operations can be expressed as a combination of map, filter and reduce. Because these operations are so common, Python provides language features to support them, including the built-in function reduce and an operator called a ‘list comprehension’. But these features are idiomatic to Python.

Another simple way:

list comprehension

A compact way to process all or part of the elements in a sequence and return a list with the results. result = ['{:#04x}'.format(x) for x in range(256) if x % 2 == 0] generates a list of strings containing even hex numbers (0x..) in the range from 0 to 255. The if clause is optional. If omitted, all elements in range(256) are processed.

from Thinking in Python

Map, filter and reduce的更多相关文章

  1. Map,Filter和Reduce

    转自:https://www.aliyun.com/jiaocheng/444967.html?spm=5176.100033.1.13.xms8KG 摘要:Map,Filter和Reduce三个函数 ...

  2. Python Map, Filter and Reduce

    所属网站分类: python基础 > 函数 作者:慧雅 原文链接: http://www.pythonheidong.com/blog/article/21/ 来源:python黑洞网 www. ...

  3. [译]PYTHON FUNCTIONS - MAP, FILTER, AND REDUCE

    map, filter, and reduce Python提供了几个函数,使得能够进行函数式编程.这些函数都拥有方便的特性,他们可以能够很方便的用python编写. 函数式编程都是关于表达式的.我们 ...

  4. Python之内建函数Map,Filter和Reduce

    Python进阶 map,filter, reduce是python常用的built-in function. 且常与lambda表达式一起用. 其中: map 形式:map(function_to_ ...

  5. js Array 中的 map, filter 和 reduce

    原文中部分源码来源于:JS Array.reduce 实现 Array.map 和 Array.filter Array 中的高阶函数 ---- map, filter, reduce map() - ...

  6. python库函数Map, Filter and Reduce的用法

    python中有三个函数式编程极大的简化了程序的复杂性,这里就做一下讨论和记录. 一 Map:应用在链表输入所有元素的函数,它的格式如下所示: map(function_to_apply, list_ ...

  7. [Python学习笔记-002] lambda, map, filter and reduce

    1. lambda lambda, 即匿名函数,可以理解为跟C语言的宏类似.例如: >>> max = lambda x, y: x if x > y else y >& ...

  8. python3的map(),filter()和reduce()函数总结

    这三个都是内置的常用高阶函数(Higher-order function),用法如下: map()函数接收两个参数,一个是函数,一个是Iterable,map将传入的函数依次作用到序列的每个元素,并把 ...

  9. python的高阶函数(map,filter,sorted,reduce)

    高阶函数 关注公众号"轻松学编程"了解更多. 1.MapReduce MapReduce主要应用于分布式中. 大数据实际上是在15年下半年开始火起来的. 分布式思想:将一个连续的字 ...

随机推荐

  1. 安卓APP载入HTML5页面解决方式总结

    因为H5页面在移动端的兼容性及扩展性方面体现出来的优势,又兼得APP中植入H5页面相应用的灵活性有大大的提升(如活动.游戏的更新等).APP开发不可避免的须要载入一些H5页面.但安卓client对网页 ...

  2. 前端防止button被多次点击

    前端的部分逻辑有时候控制前端的显示.比方记录收藏数目等等.有时候多次反复点击会造成前端显示的bug.所以须要有部分逻辑推断去筛除掉反复多次的点击. 实现部分代码例如以下,主要是通过setTimeout ...

  3. su和sudo的区别与使用,su命令,linux命令

    su和sudo的区别与使用 一.   使用 su 命令临时切换用户身份 1. su 的适用条件和威力 su命令就是切换用户 的工具,怎么理解呢?比如我们以普通用户beinan登录的,但要添加用户任务, ...

  4. Linux安装软件的几种方式

    Linux下软件安装的方式主要有源码安装,rpm安装,yum安装,而常用的安装包主要有以下三种: tar包:例如software-1.2.3-1.tar.gz.它是使用UNIX系统的打包工具tar打包 ...

  5. BZOJ 1898 构造矩阵+矩阵快速幂

    思路: T的最小公倍数是12 那么12以内暴力 整除12 的部分用矩阵快速幂 //By SiriusRen #include <cstdio> #include <cstring&g ...

  6. 解决win8.1下sql配置iis的问题

    在配置iis8.5时,ISAPI和CGI限制中没有ASP.NET v4.0.30319, 所以要注册.net 4.0 注册方法为在“运行”中输入cmd,然后在命令行中输入: C:\WINDOWS\Mi ...

  7. 1806最大数 string和sort函数用法

    1.C++自带sort函数用法 sort函数有三个参数: (1)第一个是要排序的数组的起始地址 (2)第二个是结束的地址(最后一位要排序的地址) (3)第三个参数是排序的方法,可以是从大到小也可是从小 ...

  8. swift内存管理

    为了解决引用循环的问题. However, with ARC, values are deallocated as soon as their last strong reference is rem ...

  9. Vim常用命令及配置方案

    Vim常用命令及配置方案   几句话 很久之前就接触到vim,初学那阵觉得vim很酷炫,但确实对新手不是很友好.我也就简单看了下基本操作就上手了,但又不是长期在vim下工作,这就导致了每一次重新使用v ...

  10. 洛谷P3567 [POI2014]KUR-Couriers 主席树

    挺裸的,没啥可讲的. 不带修改的主席树裸题 Code: #include<cstdio> #include<algorithm> using namespace std; co ...