推导式
通过一行循环判断遍历出一些列数据的方法叫做推导式
语法:
val for val in iterable
1.推导式基本语法
lst = [] for i in range(1,51): lst.append(i) print(lst)
改写推导式
lst = [ i for i in range(1,51) ] print(lst)
小练习
# 1.[1,2,3,4,5] => [2,4,6,8,10] lst = [ i*2 for i in range(1,6) ] print(lst)
2.带有判断条件的推导式
注意点:for后面紧跟的判断条件只能是单项分支.
[1,2,3,4,5,6,7,8,9,10] => [1,3,5,7,9 … ]
lst = [1,2,3,4,5,6,7,8,9,10] lst_new = [] for i in lst: if i % 2 == 1: lst_new.append(i) print(lst_new)
改写推导式
lst = [ i for i in lst if i % 2 == 1 ] print(lst)
3.多循环推导式 # 谁谁
lst1 = ["孙杰龙","陈露","曹静怡"] lst2 = ["王志国","邓鹏","合理"] lst_new = [] for i in lst1: for j in lst2: lst_new.append(i+""+j) print(lst_new)
改写推导式
lst = [ i+""+j for i in lst1 for j in lst2 ] print(lst
4.带有判断条件的多循环推导式
lst_new = [] for i in lst1: for j in lst2: if lst1.index(i) == lst2.index(j): lst_new.append(i+""+j) print(lst_new)
改写推导式
lst = [i+""+j for i in lst1 for j in lst2 if lst1.index(i) == lst2.index(j)] print(lst)
集合推导式
案例:
满足年龄在18到21,存款大于等于5000 小于等于5500的人,
开卡格式为:尊贵VIP卡老x(姓氏),否则开卡格式为:抠脚大汉卡老x(姓氏)
把开卡的种类统计出来
lst = [ {"name":"赵沈阳","age":18,"money":3000}, {"name":"赵万里","age":19,"money":5200}, {"name":"赵蜂拥","age":20,"money":100000}, {"name":"赵世超","age":21,"money":1000}, {"name":"王志国","age":18,"money":5500}, {"name":"王永飞","age":99,"money":5500} ] setvar = set() for i in lst: print(i) # {'name': '赵沈阳', 'age': 18, 'money': 3000} if 18 <= i["age"] <= 21 and 5000 <= i["money"] <= 5500: res = "尊贵VIP卡老{}".format(i["name"][0]) else: res = "抠脚大汉卡老{}".format(i["name"][0]) # 添加到集合中 setvar.add(res) print(setvar)
{ 三元运算符 + 推导式 }
setvar = { "尊贵VIP卡老{}".format(i["name"][0]) if 18 <= i["age"] <= 21 and 5000 <= i["money"] <= 5500 else "抠脚大汉卡老{}".format(i["name"][0]) for i in lst } print(setvar)
字典推导式
一.enumerate
enumerate(iterable,[start=0])
功能:枚举 ; 将索引号和iterable中的值,一个一个拿出来配对组成元组,通过迭代器返回
参数:
iterable: 可迭代性数据 (常用:迭代器,容器类型数据,可迭代对象range)
start: 可以选择开始的索引号(默认从0开始索引)
返回值:迭代器
基本语法
from collections import Iterator,Iterable lst =["王文","吕洞宾","何仙姑","铁拐李","张国老","曹国舅","蓝采和","韩湘子"] it = enumerate(lst) it = enumerate(lst,start=100) print(isinstance(it,Iterator))
next
print( next(it) )
for + next (推荐,数据较大时使用)
for i in range(3): print(next(it))
for
for i in it: print(i)
list 强转迭代器
print(list(it))
(1) 字典推导式 配合 enumerate 来实现
dic = {k:v for k,v in enumerate(lst,start=100)} print(dic) """ (100, '王文') (101, '吕洞宾') (102, '何仙姑') (103, '铁拐李') (104, '张国老') (105, '曹国舅') (106, '蓝采和') (107, '韩湘子') """
(2) 使用dict强转迭代器,瞬间得到字典
dic = dict( enumerate(lst,start=100) ) print(dic)
二.zip
特点:按照索引配对
zip(iterable, … …)
功能: 将多个iterable中的值,一个一个拿出来配对组成元组,通过迭代器返回
iterable: 可迭代性数据 (常用:迭代器,容器类型数据,可迭代对象range)
返回: 迭代器
基本语法
# lst1 = ["孙开启","王永飞","于朝志"] # lst2 = ["薛宇健","韩瑞晓","上朝气"] # lst3 = ["刘文博","历史园","张光旭"] # 在索引下标同时存在时,才会进行配对,否则舍弃. lst1 = ["孙开启","王永飞","于朝志"] lst2 = ["薛宇健","韩瑞晓"] lst3 = ["刘文博"] it = zip(lst1,lst2,lst3) print(list(it))
(1) 字典推导式 配合 zip 来实现
lst_key = ["ww","axd","yyt"] lst_val = ["王维","安晓东","杨元涛"] # ('ww', '王维'), ('axd', '安晓东'), ('yyt', '杨元涛') dic = {k:v for k,v in zip(lst_key , lst_val) } print(dic)
(2) 使用dict强转迭代器,瞬间得到字典
dic = dict( zip(lst_key , lst_val) ) print(dic)
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