本文实例讲述了Python推导式。分享给大家供大家参考,具体如下:
1. 列表推导式
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>>> li = [ 1 , 2 , 3 , 4 , 5 , 6 ] # 求元素的平方 >>> li_a = [x * * 2 for x in li ] >>> li_a [ 1 , 4 , 9 , 16 , 25 , 36 ] # 提取偶数值 >>> li_b = [x for x in li if x % 2 = = 0 ] >>> li_b [ 2 , 4 , 6 ] # 将多维数组转换成一维数组 >>> li_c = [[ 1 , 2 ], [ 3 ], [], [ 4 , 5 , 6 ]] >>> li_d = [j for i in li_c for j in i ] >>> li_d [ 1 , 2 , 3 , 4 , 5 , 6 ] # 使用map >>> li_1 = [ 'a' , 'b' , 'c' , 'd' ] >>> li_2 = [ 10 , 20 , 30 , 40 ] >>> li_e = list ( map ( lambda x, y:{x:y}, li_1, li_2)) >>> li_e [{ 'a' : 10 }, { 'b' : 20 }, { 'c' : 30 }, { 'd' : 40 }] |
2. 字典推导式
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# 解析列表 >>> li = [ 'a' , 'b' , 'c' , 'd' , 'e' ] >>> li_1 = {k:v for k, v in enumerate (li)} >>> li_1 { 0 : 'a' , 1 : 'b' , 2 : 'c' , 3 : 'd' , 4 : 'e' } # 解析字典 >>> dict_a = { 'a' : 10 , 'b' : 20 , 'c' : 30 } >>> dict_b = {v:k for k, v in dict_a.items()} >>> dict_b { 10 : 'a' , 20 : 'b' , 30 : 'c' } |
3. 集合推导式
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>>> set1 = {x for x in range ( 10 )} >>> set1 set ([ 0 , 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 ]) |
PS:上述代码在Python2.7与Python3.6环境下测试
希望本文所述对大家Python程序设计有所帮助。
原文链接:https://blog.csdn.net/baidu_32656897/article/details/82465861