My_Python ~储存相关~，,str,int,li

str,int,list,tuple,dict 是类型调用之后会产生一个 实例

1 >>> brand=["李宁",‘耐克‘,‘阿迪达斯‘,‘鱼C‘]2 >>> slogan=[‘一切皆有可能‘,‘Just do it‘,‘Impossible is nothing‘,‘让编程改变世界‘]3 >>> print("鱼C的口号是:",slogan[brand.index(‘鱼C‘)])4 鱼C的口号是: 让编程改变世界

1 >>> dict1={"李宁":"一切皆有可能",‘耐克‘:"Just do it",‘阿迪达斯‘:‘Impossible is nothing‘}2 >>> print(dict1[‘李宁‘])3 一切皆有可能4 >>> print(dict1["李宁"])5 一切皆有可能

1 >>> # dict只能传入一个参数 .2 >>> dict1=dict(((‘F‘,70),[‘i‘,105]))3 >>> dict14 {‘F‘: 70, ‘i‘: 105}

 1 >>> # dict只能传入一个参数 . 2 >>> dict1=dict(((‘F‘,70),[‘i‘,105])) 3 >>> dict1 4 {‘F‘: 70, ‘i‘: 105} 5 >>> dict1[‘F‘]=10000 6 >>> dict1 7 {‘F‘: 10000, ‘i‘: 105} 8 >>> dict1["QQ"]="钱" 9 >>> dict110 {‘F‘: 10000, ‘i‘: 105, ‘QQ‘: ‘钱‘}

在列表中如果你是用没有的函数 会出错 , 但是在字典中 , 如果没有的话会自动创建一个 . 如上.

1 >>> dict1.fromkeys((1,2,3))2 {1: None, 2: None, 3: None}3 >>> dict1.fromkeys((1,2,3),‘num‘)4 {1: ‘num‘, 2: ‘num‘, 3: ‘num‘}

如果直接使用fromkeys 会出错的.

1 >>> dict1=dict1.fromkeys(range(1,9),‘赞‘)2 Traceback (most recent call last):3   File "<pyshell#0>", line 1, in <module>4     dict1=dict1.fromkeys(range(1,9),‘赞‘)5 NameError: name ‘dict1‘ is not defined6 >>> dict1={}7 >>> dict1=dict1.fromkeys(range(1,9),‘赞‘)8 >>> dict19 {1: ‘赞‘, 2: ‘赞‘, 3: ‘赞‘, 4: ‘赞‘, 5: ‘赞‘, 6: ‘赞‘, 7: ‘赞‘, 8: ‘赞‘}

 1 >>> for i in dict1.items(): 2         i 3  4      5 (1, ‘赞‘) 6 (2, ‘赞‘) 7 (3, ‘赞‘) 8 (4, ‘赞‘) 9 (5, ‘赞‘)10 (6, ‘赞‘)11 (7, ‘赞‘)12 (8, ‘赞‘)

 1 >>> for i in dict1.values(): 2         i 3  4      5 ‘赞‘ 6 ‘赞‘ 7 ‘赞‘ 8 ‘赞‘ 9 ‘赞‘10 ‘赞‘11 ‘赞‘12 ‘赞‘

 1 >>> a={1:‘one‘,2:‘two‘} 2 >>> b=a.copy() 3 >>> c=a 4 >>> id(a) 5 48682848 6 >>> id(b) 7 48854120 8 >>> id(c) 9 4868284810 >>> # 由此可见 浅拷贝是 将内容放到另一块的储存区域中

在dict中批量添加元素.

 1 >>> a={1:‘one‘,2:‘two‘} 2 >>> b={3:‘three‘,4:‘four‘} 3 >>> a=a+b 4 Traceback (most recent call last): 5   File "<pyshell#2>", line 1, in <module> 6     a=a+b 7 TypeError: unsupported operand type(s) for +: ‘dict‘ and ‘dict‘ 8 >>> a.update(b) 9 >>> a10 {1: ‘one‘, 2: ‘two‘, 3: ‘three‘, 4: ‘four‘}11 >>> b.update(a)12 >>> b13 {1: ‘one‘, 2: ‘two‘, 3: ‘three‘, 4: ‘four‘}

可见字典可有集合的特性 ~‘唯一‘

My_Python ~储存相关~