• python实例:元组命名 频次统计 字典排序


    1.为元组中元素命名

    方法1.定义常量

    NAME, AGE =  0, 1
    
    student = ('乔峰', 29, 'qf@jinyong.com')
    
    name = student[NAME]
    age = student[AGE]

    方法2.使用 namedtuple

    from collections import namedtuple
    
    Student = namedtuple('Student', ['name', 'age', 'email'])
    stu = Student('乔峰', 29, 'qf@jinyong.com')
    
    name = stu.name
    age = stu.age

    2. 统计数组元素频次

    方法1. 生成字典统计

    lis = [8, 9, 9, 9, 9, 2, 10, 0, 7, 6, 2, 5, 1, 5, 0, 10, 8, 4, 1, 1, 6, 5, 10, 7, 9, 3, 2, 5, 3, 10]
    # 生成字典 键 = 数组元素,值 = 0
    d = dict.fromkeys(lis, 0)  # {8: 0, 9: 0, 2: 0, 10: 0, 0: 0, 7: 0, 6: 0, 5: 0, 1: 0, 4: 0, 3: 0}
    # 遍历数组,统计频次
    for x in lis:
        d[x] += 1
    
    print(d) # {8: 2, 9: 5, 2: 3, 10: 4, 0: 2, 7: 2, 6: 2, 5: 4, 1: 3, 4: 1, 3: 2}

    方法2. 使用Counter

    from collections import Counter
    
    lis = [8, 9, 9, 9, 9, 2, 10, 0, 7, 6, 2, 5, 1, 5, 0, 10, 8, 4, 1, 1, 6, 5, 10, 7, 9, 3, 2, 5, 3, 10]
    ret = Counter(lis)
    print(ret) # {8: 2, 9: 5, 2: 3, 10: 4, 0: 2, 7: 2, 6: 2, 5: 4, 1: 3, 4: 1, 3: 2}
    #出现频次最高的项
    top = ret.most_common(3)
    print(top) # [(9, 5), (10, 4), (5, 4)]
     

    3.按字典值排序

    方法1 使用元组

    score = {'a': 72, 'b': 97, 'c': 81, 'x': 75, 'y': 84, 'z': 93}
    # 根据字典的值,键,生成元组
    score_tup = zip(score.values(), score.keys()) # 生成元组 (72, 'a'), (97, 'b'), (81, 'c'), (75, 'x'), (84, 'y'), (93, 'z')

    # 排序
    sorted_score
    = sorted(score_tup) print(sorted_score) # [(72, 'a'), (75, 'x'), (81, 'c'), (84, 'y'), (93, 'z'), (97, 'b')]

    方法2 使用 sorted 的key

    score = {'a': 72, 'b': 97, 'c': 81, 'x': 75, 'y': 84, 'z': 93}
    
    # score.items = dict_items([('a', 72), ('b', 97), ('c', 81), ('x', 75), ('y', 84), ('z', 93)])
    # 用 lambda 参数中 x 的第一项排序。(第0项是 "a", 第一项是 72) sorted_score
    = sorted(score.items(), key = lambda x: x[1]) print(sorted_score) # ('a', 72), ('x', 75), ('c', 81), ('y', 84), ('z', 93), ('b', 97)
  • 相关阅读:
    springboo 添加logback日志
    logback配置日志输出
    认知升级:提升理解层次的NLP思维框架
    2019第29周日
    《如何有效社交》晨读笔记
    控制论模型&心流模型&波模型
    数学中常见的思维模型
    分布式服务跟踪系统
    Spring Cloud Sleuth
    微服务调用跟踪
  • 原文地址:https://www.cnblogs.com/appleat/p/10032607.html
Copyright © 2020-2023  润新知