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}]
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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'}
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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])
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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