zoukankan      html  css  js  c++  java
  • python进阶

    一、列表类型的内置方法

    1.1 用途

    ​ 用来描述多个装备,多个爱好,多种课程等。

    1.2 定义

    ​ []内可以有多个任意类型的值,使用逗号进行分割。

    name_list = ['panghu','xiaofu','jingxiang','daxiong']
    print(F"{name_list[1]}")
    
    xiaofu
    

    1.3 常用操作+内置方法

    1.3.1 优先掌握

    1. 按索引取值(正相+反向),即可存也可取

      name_list = ['panghu','xiaofu','jingxiang','daxiong']
      print(F"{name_list[-1]}")
      
      daxiong
      
    2. 切片

      name_list = ['panghu','xiaofu','jingxiang','daxiong']
      print(F"{name_list[0:3:2]}")
      
      ['panghu', 'jingxiang']
      
    3. 长度

      name_list = ['panghu','xiaofu','jingxiang','daxiong']
      print(F"{len(name_list)}")
      
      4
      
    4. 成员运算in和not in

      name_list = ['panghu','xiaofu','jingxiang','daxiong']
      print(F"{'daxiong' in name_list}")
      print(F"{'pangmei' in name_list}")
      
      True
      False
      
    5. 追加值

      name_list = ['panghu','xiaofu','jingxiang','daxiong']
      name_list.append('xiaodingdang')
      print(F"{name_list}")
      
      ['panghu', 'xiaofu', 'jingxiang', 'daxiong', 'xiaodingdang']
      
    6. 删除

      name_list = ['panghu','xiaofu','jingxiang','daxiong']
      del name_list[3]
      print(F"{name_list}")
      
      ['panghu', 'xiaofu', 'jingxiang']
      
    7. 循环

      name_list = ['panghu','xiaofu','jingxiang','daxiong']
      for name in name_list:
          print(name)
         
      panghu
      xiaofu
      jingxiang
      daxiong
      

    1.3.2 需要掌握

    1. insert()

      name_list = ['panghu','xiaofu','jingxiang','daxiong']
      name_list.insert(3,'xiaodingdang')
      print(f'{name_list}')
      
      ['panghu', 'xiaofu', 'jingxiang', 'xiaodingdang', 'daxiong']
      
    2. pop()(默认删除最后一个元素)

      name_list = ['panghu','xiaofu','jingxiang','daxiong']
      print(f'{name_list.pop(2)}')
      print(f'{name_list}')
      
      jingxiang
      ['panghu', 'xiaofu', 'daxiong']
      
    3. remove()

      name_list = ['panghu','xiaofu','jingxiang','daxiong']
      print(f"{name_list.remove('xiaofu')}")
      print(f'{name_list}')
      
      None
      ['panghu', 'jingxiang', 'daxiong']
      
    4. count()

      name_list = ['panghu','xiaofu','xiaofu','jingxiang','daxiong']
      print(f"{name_list.count('xiaofu')}")
      
      2
      
    5. index()(引索)

      name_list = ['panghu','xiaofu','jingxiang','daxiong']
      print(f"{name_list.index('xiaofu')}")
      
      1
      
    6. clear()

      name_list = ['panghu','xiaofu','jingxiang','daxiong']
      name_list.clear()
      print(f"{name_list}")
      
      []
      
    7. copy()

      name_list = ['panghu','xiaofu','jingxiang','daxiong']
      print(f"{name_list.copy()}")
      
      ['panghu', 'xiaofu', 'jingxiang', 'daxiong']
      
    8. extend

      name_list = ['panghu','xiaofu','jingxiang','daxiong']
      name_list2 = ['xiaodingdang']
      name_list.extend(name_list2)
      print(f"{name_list}")
      
      ['panghu', 'xiaofu', 'jingxiang', 'daxiong', 'xiaodingdang']
      
    9. reverse()(倒叙)

      name_list = ['panghu','xiaofu','jingxiang','daxiong']
      name_list.reverse()
      print(f"{name_list}")
      
      ['daxiong', 'jingxiang', 'xiaofu', 'panghu']
      
    10. sort

      name_list = ['panghu','xiaofu','jingxiang','daxiong']
      name_list.sort()
      print(f"{name_list}")
      
      ['daxiong', 'jingxiang', 'panghu', 'xiaofu']
      

    1.4 存值

    ​ 存多个值

    1.5有序性

    ​ 有序

    1.6 可变性

    ​ 可变

    二、元组类型的内置方法

    ​ 元组是不可变的列表,即元组的值不可更改,因此元组一般只用于只存不取的需求。也因此元组可以被列表取代掉,所以元组相比较列表使用的很少。元组相比较列表的优点为:列表的值修改后,列表的结构将会发生改变,而元组只需要存储,因此列表在某种程度上而言需要占用更多的内存。但是目前工业上内存已经不是问题了,所以工业上元组一般不会使用。

    2.1 用途

    ​ 多个装备、多个爱好、多门课程。

    2.2 定义

    ​ 在()内可以有多个任意类型的值,逗号分隔元素。

    2.3 常用操作+内置方法

    1. 索引取值

      name_tuple = ['panghu','xiaofu','jingxiang','daxiong']
      print(f"{name_tuple}")
      
      ['panghu', 'xiaofu', 'jingxiang', 'daxiong']
      
    2. 切片(顾头不顾尾,步长)

      name_tuple = ['panghu','xiaofu','jingxiang','daxiong']
      print(f"{name_tuple[1:3:2]}")
      
      xiaofu
      
    3. 长度

      name_tuple = ['panghu','xiaofu','jingxiang','daxiong']
      print(f"{len(name_tuple)}")
      
      4
      
    4. 成员运算

      name_tuple = ['panghu','xiaofu','jingxiang','daxiong']
      print(f"{'daxiong' in name_tuple}")
      
      True
      
    5. 循环

      name_tuple = ['panghu','xiaofu','jingxiang','daxiong']
      for name in name_tuple:
          print(name)
      
      panghu
      xiaofu
      jingxiang
      daxiong
      
    6. count()

      name_tuple = ['panghu','xiaofu','jingxiang','daxiong']
      print(f"{name_tuple.count('daxiong')}")
      
      1
      
    7. index()

      name_tuple = ['panghu','xiaofu','jingxiang','daxiong']
      print(f"{name_tuple.index('daxiong')}")
      
      3
      

    2.4 存值

    ​ 多个值

    2.5 有序性

    ​ 有序

    2.6 可变性

    ​ 不可变数据类型

    三、字典类型的内置方法

    3.1 用途

    ​ 存多个值,但每一个值都有一个key与之对应,key对值有描述功能。多用于存的值表示的是不同的状态时,例如存的值有姓名、年龄、身高、体重、爱好。

    3.2 定义

    ​ {}内用逗号分隔开多个元素,每一个元素都是key:value的形式,value可以是任意数据类型,而key通常应该是字符串类型,但是key必须为不可变类型。

    dic = {'a': 1, 'b': 2}  # dic = dict({'a':1,'b':2})
    print(f"dic: {dic}")
    
    dic: {'a': 1, 'b': 2}
    
    
    dic = dict(a=1, b=2, c=3)
    print(f"dic: {dic}")
    
    dic: {'a': 1, 'b': 2, 'c': 3}
    
    
    dic = {1: 'a', 0: 'b'}
    print(f"dic[0]: {dic[0]}") 
    
    dic[0]: b
    
    

    3.3 常用操作+内置方法

    3.3.1 重点

    1. 按key存取值:可存可取
    dic = {'a': 1, 'b': 2}
    print(f"first dic['a']: {dic['a']}")
    
    dic['a'] = 3
    print(f"second dic['a']: {dic['a']}")
    
    first dic['a']: 1
    second dic['a']: 3
    
    1. 长度len
    dic = {'a': 1, 'b': 2}
    print(f"len(dic): {len(dic)}")
    
    len(dic): 2
    
    1. 成员运算in和not in
    dic = {'a': 1, 'b': 2}
    print(f"'a' in dic: {'a' in dic}")
    print(f"1 in dic: {1 in dic}")
    
    'a' in dic: True
    1 in dic: False
    
    1. 删除
    dic = {'a': 1, 'b': 2}
    del dic['a']
    print(f"dic.get('a'): {dic.get('a')}")
    
    dic.get('a'): None
    
    
    dic = {'a': 1, 'b': 2}
    dic.pop('a')  # 指定元素删除
    print(f"dic.pop('b'): {dic.pop('b')}")
    print(f"dic.get('a'): {dic.get('a')}")
    
    dic.pop('b'): 2
    dic.get('a'): None
    
    
    dic = {'a': 1, 'b': 2}
    print(f"dic.popitem(): {dic.popitem()}")  # popitem() 方法随机返回并删除字典中的一对键和值(一般删除末尾对)。
    
    dic.popitem(): ('b', 2)
    
    1. 键keys()、值values()、键值对items()
    dic = {'a': 1, 'b': 2}
    print(f"dic.keys(): {dic.keys()}")
    print(f"dic.values(): {dic.values()}")
    print(f"dic.items(): {dic.items()}")
    
    dic.keys(): dict_keys(['a', 'b'])
    dic.values(): dict_values([1, 2])
    dic.items(): dict_items([('a', 1), ('b', 2)])
    
    1. 循环
    dic = {'a': 1, 'b': 2, 'c': 3, 'd': 4}
    for k, v in dic.items():  
        print(k, v)
        
    a 1
    b 2
    c 3
    d 4
    

    3.3.2 需要掌握

    1. get()
    dic = {'a': 1, 'b': 2}
    print(f"dic.get('a'): {dic.get('a')}")
    print(f"dic.get('c'): {dic.get('c')}")
    
    dic.get('a'): 1
    dic.get('c'): None
    
    1. update()
    dic1 = {'a': 1, 'b': 2}
    dic2 = {'c': 3}
    dic1.update(dic2)
    print(f"dic1: {dic1}")
    
    dic1: {'a': 1, 'b': 2, 'c': 3}
    
    1. fromkeys()
    dic = dict.fromkeys(['name', 'age', 'sex'], None)
    print(f"dic: {dic}")
    
    dic: {'name': None, 'age': None, 'sex': None}
    
    1. setdefault()
    dic = {'a': 1, 'b': 2}
    print(f"dic.setdefault('a'): {dic.setdefault('a',3)}")
    print(f"dic: {dic}")
    print(f"dic.setdefault('c'): {dic.setdefault('c',3)}")
    print(f"dic: {dic}")
    
    dic.setdefault('a'): 1
    dic: {'a': 1, 'b': 2}
    dic.setdefault('c'): 3
    dic: {'a': 1, 'b': 2, 'c': 3}
    

    四、集合类型的内置方法

    4.1 用途

    ​ 用于关系运算的集合体,由于集合内的元素无序且集合元素不可重复,因此集合可以去重,但是去重后的集合会打乱原来元素的顺序。

    4.2 定义

    ​ {}内用逗号分隔开多个元素,每个元素必须是不可变类型。

    s = {1, 2, 1, 'a'}  
    print(f"s: {s}")
    
    s: {1, 2, 'a'}
    
    
    s = {1, 2, 1, 'a', 'c'}
    for i in s:
        print(i)
    1
    2
    c
    a
    
    
    s = set('hello')
    print(f"s: {s}")
    
    s: {'e', 'o', 'h', 'l'}
    

    4.3 常用操作和内置方法

    4.3.1 重点

    1.长度len

    s = {1, 2, 'a'}
    print(f"len(s): {len(s)}")
    
    len(s): 3
    

    2.成员运算in和not in

    s = {1, 2, 'a'}
    print(f"1 in s: {1 in s}")
    
    1 in s: True
    

    3.|并集

    pythoners = {'jason', 'nick', 'tank', 'sean'}
    linuxers = {'nick', 'egon', 'kevin'}
    print(f"pythoners|linuxers: {pythoners|linuxers}")
    print(f"pythoners.union(linuxers): {pythoners.union(linuxers)}")
    
    pythoners|linuxers: {'egon', 'tank', 'kevin', 'jason', 'nick', 'sean'}
    pythoners.union(linuxers): {'egon', 'tank', 'kevin', 'jason', 'nick', 'sean'}
    

    4.&交集

    pythoners = {'jason', 'nick', 'tank', 'sean'}
    linuxers = {'nick', 'egon', 'kevin'}
    print(f"pythoners&linuxers: {pythoners&linuxers}")
    print(f"pythoners.intersection(linuxers): {pythoners.intersection(linuxers)}")
    
    pythoners&linuxers: {'nick'}
    pythoners.intersection(linuxers): {'nick'}
    

    5.-差集

    pythoners = {'jason', 'nick', 'tank', 'sean'}
    linuxers = {'nick', 'egon', 'kevin'}
    print(f"pythoners-linuxers: {pythoners-linuxers}")
    print(f"pythoners.difference(linuxers): {pythoners.difference(linuxers)}")
    
    pythoners-linuxers: {'tank', 'jason', 'sean'}
    pythoners.difference(linuxers): {'tank', 'jason', 'sean'}
    

    6.^对称差集

    pythoners = {'jason', 'nick', 'tank', 'sean'}
    linuxers = {'nick', 'egon', 'kevin'}
    print(f"pythoners^linuxers: {pythoners^linuxers}")
    print(f"pythoners.symmetric_difference(linuxers): {pythoners.symmetric_difference(linuxers)}")
    
    pythoners^linuxers: {'egon', 'tank', 'kevin', 'jason', 'sean'}
    pythoners.symmetric_difference(linuxers): {'egon', 'tank', 'kevin', 'jason', 'sean'}
    

    7.==

    pythoners = {'jason', 'nick', 'tank', 'sean'}
    linuxers = {'nick', 'egon', 'kevin'}
    javers = {'nick', 'egon', 'kevin'}
    print(f"pythoners==linuxers: {pythoners==linuxers}")
    print(f"javers==linuxers: {javers==linuxers}")
    
    pythoners==linuxers: False
    javers==linuxers: True
    

    8.父集:>、>=

    pythoners = {'jason', 'nick', 'tank', 'sean'}
    linuxers = {'nick', 'egon', 'kevin'}
    javaers = {'jason', 'nick'}
    print(f"pythoners>linuxers: {pythoners>linuxers}")
    print(f"pythoners>=linuxers: {pythoners>=linuxers}")
    print(f"pythoners>=javaers: {pythoners>=javaers}")
    print(f"pythoners.issuperset(javaers): {pythoners.issuperset(javaers)}")
    
    pythoners>linuxers: False
    pythoners>=linuxers: False
    pythoners>=javaers: True
    pythoners.issuperset(javaers): True
    

    9.子集:<、<=

    pythoners = {'jason', 'nick', 'tank', 'sean'}
    linuxers = {'nick', 'egon', 'kevin'}
    javaers = {'jason', 'nick'}
    print(f"pythoners<linuxers: {pythoners<linuxers}")
    print(f"pythoners<=linuxers: {pythoners<=linuxers}")
    print(f"javaers.issubset(javaers): {javaers.issubset(javaers)}")
    
    pythoners<linuxers: False
    pythoners<=linuxers: False
    javaers.issubset(javaers): True
    

    4.3.2 掌握

    1.add()

    s = {1, 2, 'a'}
    s.add(3)
    
    print(s)
    {1, 2, 3, 'a'}
    

    2.remove()

    s = {1, 2, 'a'}
    s.remove(1)
    
    print(s)
    {2, 'a'}
    

    3.difference_update()

    pythoners = {'jason', 'nick', 'tank', 'sean'}
    linuxers = {'nick', 'egon', 'kevin'}
    pythoners.difference_update(linuxers)
    
    print(f"pythoners.difference_update(linuxers): {pythoners}")
    pythoners.difference_update(linuxers): {'tank', 'jason', 'sean'}
    

    4.discard()

    s = {1, 2, 'a'}
    s.discard(3)
    
    print(s)
    {1, 2, 'a'}
    

    5.isdisjoint()

    # set之isdisjoint(),集合没有共同的部分返回True,否则返回False
    pythoners = {'jason', 'nick', 'tank', 'sean'}
    linuxers = {'nick', 'egon', 'kevin'}
    pythoners.isdisjoint(linuxers)
    
    print(f"pythoners.isdisjoint(linuxers): {pythoners.isdisjoint(linuxers)}")
    pythoners.isdisjoint(linuxers): False
    
  • 相关阅读:
    golang交叉编译:Linux
    vmware共享文件夹
    虚拟机-Debian服务器配置
    day38--MySQL基础二
    day19-IO多路复用
    mysql 对时间的处理
    mysql 优化
    Linux性能查看
    day18-socket 编程
    JAVA 消耗 CPU过高排查方法
  • 原文地址:https://www.cnblogs.com/tangceng/p/11304325.html
Copyright © 2011-2022 走看看