标签:重复 key ble 基础 error 通过 判断 mos 类型
字典一种key - value 的数据类型,使用就像我们上学用的字典,通过偏旁、字母来查对应页的详细内容
key必须唯一,不能重复,value允许重复;字典内元素都是无序的,没有下标。
>>> team1 = {‘st1‘:‘lao cui‘,‘st2‘:‘lao luo‘,‘st3‘:‘lao wang‘,‘st4‘:‘lao chen‘}
>>> team1
{‘st1‘: ‘lao cui‘, ‘st3‘: ‘lao wang‘, ‘st4‘: ‘lao chen‘, ‘st2‘: ‘lao luo‘}
>>> team1
{‘st1‘: ‘lao cui‘, ‘st3‘: ‘lao wang‘, ‘st4‘: ‘lao chen‘, ‘st2‘: ‘lao luo‘}
>>> team1[‘st5‘] = ‘xiao luo‘
>>> team1
{‘st1‘: ‘lao cui‘, ‘st3‘: ‘lao wang‘, ‘st5‘: ‘xiao luo‘, ‘st4‘: ‘lao chen‘, ‘st2‘: ‘lao luo‘}
>>> team1[‘st4‘] = ‘update‘
>>> team1
{‘st1‘: ‘lao cui‘, ‘st3‘: ‘lao wang‘, ‘st5‘: ‘xiao luo‘, ‘st4‘: ‘update‘, ‘st2‘: ‘lao luo‘}
>>>
可以看出,之前字典team1的key里面没有st5,这时候是新增一个元素,当key里面有st4时,这时是更新了原来的value
>>> team1
{‘st1‘: ‘lao cui‘, ‘st3‘: ‘lao wang‘, ‘st5‘: ‘xiao luo‘, ‘st4‘: ‘update‘, ‘st2‘: ‘lao luo‘}
>>> team1.pop(‘st4‘)
‘update‘
>>> team1
{‘st1‘: ‘lao cui‘, ‘st3‘: ‘lao wang‘, ‘st5‘: ‘xiao luo‘, ‘st2‘: ‘lao luo‘}
>>>
>>> del team1[‘st5‘]
>>> team1
{‘st1‘: ‘lao cui‘, ‘st3‘: ‘lao wang‘, ‘st2‘: ‘lao luo‘}
>>> team1.popitem()
(‘st1‘, ‘lao cui‘)
>>> team1
{‘st3‘: ‘lao wang‘, ‘st2‘: ‘lao luo‘}
>>>
pop()和del都是删除指定的元素,popitem()随机删除一个
>>> team1
{‘st1‘: ‘lao cui‘, ‘st3‘: ‘lao wang‘, ‘st4‘: ‘lao chen‘, ‘st2‘: ‘lao luo‘}
>>> ‘st4‘ in team1
True
>>> ‘st5‘ in team1
False
#####如果查找的key在字典里,返回True,否则返回False。
>>> team1.get(‘st4‘)
‘lao chen‘
>>> team1[‘st5‘]
Traceback (most recent call last):
File "<pyshell#51>", line 1, in <module>
team1[‘st5‘]
KeyError: ‘st5‘
>>> team1.get(‘st5‘)
>>> print(team1.get(‘st5‘))
None
>>>
#####dict.[key]如果不存在的话会报错,但是使用get只会返回None
>>> team1
{‘st1‘: ‘lao cui‘, ‘st3‘: ‘lao wang‘, ‘st4‘: ‘lao chen‘, ‘st2‘: ‘lao luo‘}
>>> team1.keys()
dict_keys([‘st1‘, ‘st3‘, ‘st4‘, ‘st2‘])
>>> team1.values()
dict_values([‘lao cui‘, ‘lao wang‘, ‘lao chen‘, ‘lao luo‘])
>>>
或者用for循环一一列出
1 team1 = {‘st1‘:‘lao cui‘,‘st2‘:‘lao luo‘,‘st3‘:‘lao wang‘,‘st4‘:‘lao chen‘} 2 for k in team1: 3 print(k,team1[k]) 4 5 print(‘OR‘.center(50,‘-‘)) 6 print(team1.items()) #会将字典转换为列表,每个key-value就是列表中的一个值 7 for k1, v in team1.items(): 8 print(k,v)
输出:
st4 lao chen st3 lao wang st2 lao luo st1 lao cui ------------------------OR------------------------ dict_items([(‘st4‘, ‘lao chen‘), (‘st3‘, ‘lao wang‘), (‘st2‘, ‘lao luo‘), (‘st1‘, ‘lao cui‘)]) st1 lao chen st1 lao wang st1 lao luo st1 lao cui
team1 = {‘st1‘:‘lao cui‘,‘st2‘:‘lao luo‘,‘st3‘:‘lao wang‘,‘st4‘:‘lao chen‘} team1.setdefault(‘st5‘,‘insert‘) #没有st5的话,就新增 team1.setdefault(‘st3‘,‘insert‘) #有st3,就更新 print(team1)
输出:
{‘st1‘: ‘lao cui‘, ‘st5‘: ‘insert‘, ‘st2‘: ‘lao luo‘, ‘st3‘: ‘lao wang‘, ‘st4‘: ‘lao chen‘}
>>> a[‘st1‘] = ‘update‘
>>> a
{1: ‘a‘, 2: ‘b‘, 3: ‘c‘, ‘st1‘: ‘update‘}
>>> team1
{‘st1‘: ‘lao cui‘, ‘st3‘: ‘lao wang‘, ‘st4‘: ‘lao chen‘, ‘st2‘: ‘lao luo‘}
>>> team1.update(a)
>>> team1
{1: ‘a‘, 2: ‘b‘, 3: ‘c‘, ‘st1‘: ‘update‘, ‘st2‘: ‘lao luo‘, ‘st3‘: ‘lao wang‘, ‘st4‘: ‘lao chen‘}
>>>
如果team1与a字典里有相同的key,那么就更新,没有的话,就添加进去
test = dict.fromkeys([1,2,3],‘a‘) print(test) 输出为: {1: ‘a‘, 2: ‘a‘, 3: ‘a‘}
a如果是个字典或者列表,那么test的某个value内部的元素改变,所有的都会改变,所以a不适合多级关系
test = dict.fromkeys([1,2,3],[‘a‘,‘b‘,‘c‘])
print(test)
test[1] [0]= ‘b‘
print(test)
输出:
{1: [‘b‘, ‘b‘, ‘c‘], 2: [‘b‘, ‘b‘, ‘c‘], 3: [‘b‘, ‘b‘, ‘c‘]}
因为在内存中,列表[‘a‘,‘b‘,‘c‘]指向的是一个内存地址,里面的元素改变,内存地址不变
集合是一个无序的,不重复的数据组合,它的主要作用如下:
集合数值{}表示
num1= set([1,2,3,4,5,6,7]) #创建一个数值集合 print(num1,type(num1)) num2 = {5,6,7,8,9,10} print(num2,type(num2)) 输出: {1, 2, 3, 4, 5, 6, 7} <class ‘set‘> {5, 6, 7, 8, 9, 10} <class ‘set‘>
集合会自动去重,如
>>> a = set(‘hello‘)
>>> a
{‘h‘, ‘o‘, ‘l‘, ‘e‘}
1 print(num1 | num2) #求两者的并集 2 print(num1 & num2) #求两者的交集 3 print(num1 - num2) #求两者的差集,num1有,mum2没有的 4 print(num2 - num1) #求两者的差集,num2有,mum1没有的 5 print(num2 ^ num1) #求对称差集,并集-交集
输出:
1 {1, 2, 3, 4, 5, 6, 7, 8, 9, 10} 2 {5, 6, 7} 3 {1, 2, 3, 4} 4 {8, 9, 10} 5 {1, 2, 3, 4, 8, 9, 10}
增加:增加一个用add,多个用update,会自动去重。
>>> a.add(‘b‘) >>> a {‘h‘, ‘o‘, ‘b‘, ‘l‘, ‘e‘} >>> a.update(‘a‘,‘b‘,‘c‘,‘d‘,‘e‘) >>> a {‘e‘, ‘b‘, ‘d‘, ‘a‘, ‘l‘, ‘c‘, ‘h‘, ‘o‘} >>>
1 >>> a.add(1) 2 >>> a 3 {1, ‘e‘, ‘b‘, ‘d‘, ‘a‘, ‘l‘, ‘c‘, ‘h‘, ‘o‘} #add(1),默认是添加了一个字符串1 4 >>> a.update(1,2,3) #update,不允许直接添加数字,可以用下面的两种方式 5 Traceback (most recent call last): 6 File "<pyshell#85>", line 1, in <module> 7 a.update(1,2,3) 8 TypeError: ‘int‘ object is not iterable 9 >>> a.update([1,2,3]) 10 >>> a 11 {1, 2, 3, ‘e‘, ‘b‘, ‘d‘, ‘a‘, ‘l‘, ‘c‘, ‘h‘, ‘o‘} 12 >>> a.update({7,8,9}) 13 >>> a 14 {1, 2, 3, ‘e‘, 8, 9, 7, ‘b‘, ‘d‘, ‘a‘, ‘l‘, ‘c‘, ‘h‘, ‘o‘}
删除:(一次只能删除一个)
>>> a.remove(2) >>> a {1, 3, ‘e‘, 8, 9, 7, ‘b‘, ‘d‘, ‘a‘, ‘l‘, ‘c‘, ‘h‘, ‘o‘}
子集和父集
>>> s {1, 2, 3} >>> f {1, 2, 3, 5, ‘a‘, ‘vsd‘} >>> s.issubset(f) #f是s的父集,s是f的子集 True >>> f.issuperset(s) True >>>
判断元素是不是在集合里
>>> f {1, 2, 3, 5, ‘a‘, ‘vsd‘} >>> ‘vsd‘ in f True >>> ‘aaasd‘ in f False
方法和运算符的对应:
s.issubset(t) s <= t 测试是否 s 中的每一个元素都在 t 中 s.issuperset(t) s >= t 测试是否 t 中的每一个元素都在 s 中 s.union(t) s | t 返回一个新的 set 包含 s 和 t 中的每一个元素 s.intersection(t) s & t 返回一个新的 set 包含 s 和 t 中的公共元素 s.difference(t) s - t 返回一个新的 set 包含 s 中有但是 t 中没有的元素 s.symmetric_difference(t) s ^ t 返回一个新的 set 包含 s 和 t 中不重复的元素
s.copy()
返回 set “s”的一个浅复制
>>> f_copy = f.copy()
>>> f_copy
{1, 2, 3, ‘a‘, 5, ‘vsd‘}
>>> f_copy.add(‘new‘)
>>> f_copy
{1, 2, 3, ‘a‘, 5, ‘vsd‘, ‘new‘}
>>> f
{1, 2, 3, 5, ‘a‘, ‘vsd‘}
>>>
标签:重复 key ble 基础 error 通过 判断 mos 类型
原文地址:http://www.cnblogs.com/cq90/p/6790297.html