python中的元组

谁借莪１个温暖的怀抱￠ 2021-12-15 10:34 402阅读 0赞

## 1.元组的创建 ##

元组（tuple）：元组本身是不可变数据类型，没有增删改查  
元组(tuple): 不可变数据类型  
元组内可以存储任意数据类型

t = (1,2.3,True,'westos')
     print(t)
     print(type(t))

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80NDg4OTYxNg_size_16_color_FFFFFF_t_70]

间接修改元组内容（元组里面包含可变数据类型，故可以间接修改元组内容）

t1 = ([1,2,3],4)
    t1[0].append(4)
    print(t1)

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80NDg4OTYxNg_size_16_color_FFFFFF_t_70 1]

## 2.元组的特性 ##

**索引、切片**

users = ('root','westos','redhat')
    passwds = ('123','456','789')
    
    #索引 切片
    print(users[0])
    print(users[-1])
    print(users[1:])
    print(users[:-1])
    print(users[::-1])

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80NDg4OTYxNg_size_16_color_FFFFFF_t_70 2]

**重复、连接**

users = ('root','westos','redhat')
    passwds = ('123','456','789')
    #重复
    print(users * 3)
    #连接
    print(passwds + ('012','230'))

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80NDg4OTYxNg_size_16_color_FFFFFF_t_70 3]  
**成员操作符**

users = ('root','westos','redhat')
    passwds = ('123','456','789')
    print('redhat' in users)
    print('redhat' not in users)

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80NDg4OTYxNg_size_16_color_FFFFFF_t_70 4]  
**迭代（for循环）**

users = ('root','westos','redhat')
    passwds = ('123','456','789')
    for user in users:
        print(user)

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80NDg4OTYxNg_size_16_color_FFFFFF_t_70 5]  
**枚举**

users = ('root','westos','redhat')
    passwds = ('123','456','789')
    for index,user in enumerate(users):
        print('第%d个用户: %s' %(index+1,user))

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80NDg4OTYxNg_size_16_color_FFFFFF_t_70 6]  
**压缩**

users = ('root','westos','redhat')
    passwds = ('123','456','789')
    for user,passwd in zip(users,passwds):
        print(user,':',passwd)

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80NDg4OTYxNg_size_16_color_FFFFFF_t_70 7]

## 3.元组的常用方法 ##

显示westos的个数和‘1’的索引值

t = (1,2.3,True,'westos')
    print(t.count('westos'))
    print(t.index(1))

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80NDg4OTYxNg_size_16_color_FFFFFF_t_70 8]

## 4.元组的应用场景 ##

**1.元组的赋值（有多少个元素，就用多少个变量接收）**

t = ('westos',11,100)
    name,age,score = t
    print(name,age,score)

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80NDg4OTYxNg_size_16_color_FFFFFF_t_70 9]  
**2.排序**

使用方法排序

scores = (59,89,65,78,100)
    scoreli = list(scores)
    scoreli.sort()
    print(scoreli)

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80NDg4OTYxNg_size_16_color_FFFFFF_t_70 10]使用函数排序

scores = (59,89,65,78,100)
    scores = sorted(scores)
    print(scores)

![在这里插入图片描述][20190704202927374.png]  
求平均值（去掉最大值和最小值）

scores = (59,89,65,78,100)
    minscore,*middlescore,maxscore = scores
    print(minscore)
    print(middlescore)
    print(maxscore)
    print('最终成绩为: %.2f' %(sum(middlescore)/len(middlescore)))

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80NDg4OTYxNg_size_16_color_FFFFFF_t_70 11]  
注意：这里没有比较大小，只是按照元素的位置以此进行输出

[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80NDg4OTYxNg_size_16_color_FFFFFF_t_70]: /images/20211214/6696145865244262ad03d190ce58b27d.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80NDg4OTYxNg_size_16_color_FFFFFF_t_70 1]: /images/20211214/82ec1ffef72d4bceb74a355a4a541904.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80NDg4OTYxNg_size_16_color_FFFFFF_t_70 2]: /images/20211214/e46d6486dedf48a6bd05242722eb6fea.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80NDg4OTYxNg_size_16_color_FFFFFF_t_70 3]: /images/20211214/5dd50a63ebae4fd5812e8fd68e3b16d1.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80NDg4OTYxNg_size_16_color_FFFFFF_t_70 4]: /images/20211214/76563ae922554488b7044b7aa892e814.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80NDg4OTYxNg_size_16_color_FFFFFF_t_70 5]: /images/20211214/00130adfa4294b0c9cf5519d0bd733ac.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80NDg4OTYxNg_size_16_color_FFFFFF_t_70 6]: /images/20211214/59781e02f54b4917b348bf71e8e47438.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80NDg4OTYxNg_size_16_color_FFFFFF_t_70 7]: /images/20211214/9ccd2b75fd3444a593e2d7bf701b1132.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80NDg4OTYxNg_size_16_color_FFFFFF_t_70 8]: /images/20211214/4b8b890841ba474a90fff0d015a4b58b.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80NDg4OTYxNg_size_16_color_FFFFFF_t_70 9]: /images/20211214/2e7fc83bccaf400db8ba1be793bb06d4.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80NDg4OTYxNg_size_16_color_FFFFFF_t_70 10]: /images/20211214/f49babad55e54f13b40e76d3e7b23ec8.png
[20190704202927374.png]: /images/20211214/2969ae228f4e47728ba2c94848619de1.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80NDg4OTYxNg_size_16_color_FFFFFF_t_70 11]: /images/20211214/eaa5c21bc73245518400da61e658213c.png