python 学习_字典

一. hash 函数

可以被hash 那么 就是不可变的

不可变类型	可变类型
数字	列表
字符串	字典
元组

 

 

 

 

 

 

 

可变的数据类型不可以被hash，  一个值可以被hash，那么说明这个值是不可变的

 

 

二.字典

 

字典的特征：
　　1. key-value 结构
　　2. key 必须可hash 且必须为不可变数据类型， 必须唯一
　　3. 可存放任意多个值， 可修改， 可不唯一
　　4. 无序
　　5. 查找速度快

 

 

字典的创建与操作：

 

字典的创建

 

# 1)
person = {"name":"augustyang","age":18}
#2)
person1 = dict(name="augustyang",age=18)
#)3
person2=dict({"name":"augustyang","age":18})
#4）
dit = {}.fromkeys(["k1","k2"],11)

 

 

 

字典赋值

 

dit["k1"]=222
print(dit) #{'k1': 222, 'k2': 11}

 

 

 

 

 

 键值对

print(dit.keys()) #dict_keys(['k1', 'k2'])

print(dit.values()) #dict_values([222, 11])

print(dit.items()) #dict_items([('k1', 222), ('k2', 11)])

 

 

新增

#1)
dit["new_key"] = "new_value"

#2)
dit = {'k1': 222, 'k2': 11}
dit.setdefault("key_1","key_value") # 如果字典中不存在key_1，由dic[key]=default
print(dit)
# {'k1': 222, 'k2': 11, 'key_1': 'key_value'}

 

 

 

 

删除

# 1)
dit.pop(key[,default])

# 如果字典中存在key，删除并返回key对应的vuale；
# 如果key不存在，且没有给出default的值，则引发keyerror异常；


dit.pop('key_1',"www")
print(dit)

#2）
dit.clear()
print(dit)  #{}

 

 

修改

dit = {'k1': 222, 'k2': 11}
dit['k1'] = 'new_value1'
print(dit)  # {'k1': 'new_value1', 'k2': 11}

#
dit2 = {"name":'wwww',"k2":1122}
dit.update(dit2)
print(dit)

 

 

 

查看

print(dit['k1'])

# dict.get(key, default = None)
# 返回字典中key对应的值，若key不存在字典中，则返回default的值（default默认为None）
print(dit.get('k1111','k1111_11')) # k1111_11

 

 

循环

for k in dic.keys()
for k,v in dic.items()
 for k in dic  #*************

 

 

长度

print(len(dit))

 

 

 三 . 字典源码

 

class dict(object):
    """
    dict() -> new empty dictionary
    dict(mapping) -> new dictionary initialized from a mapping object's
        (key, value) pairs
    dict(iterable) -> new dictionary initialized as if via:
        d = {}
        for k, v in iterable:
            d[k] = v
    dict(**kwargs) -> new dictionary initialized with the name=value pairs
        in the keyword argument list.  For example:  dict(one=1, two=2)
    """
    def clear(self): # real signature unknown; restored from __doc__
        """ D.clear() -> None.  Remove all items from D. """
        pass

    def copy(self): # real signature unknown; restored from __doc__
        """ D.copy() -> a shallow copy of D """
        pass

    @staticmethod # known case
    def fromkeys(*args, **kwargs): # real signature unknown
        """ Returns a new dict with keys from iterable and values equal to value. """
        pass

    def get(self, k, d=None): # real signature unknown; restored from __doc__
        """ D.get(k[,d]) -> D[k] if k in D, else d.  d defaults to None. """
        pass

    def items(self): # real signature unknown; restored from __doc__
        """ D.items() -> a set-like object providing a view on D's items """
        pass

    def keys(self): # real signature unknown; restored from __doc__
        """ D.keys() -> a set-like object providing a view on D's keys """
        pass

    def pop(self, k, d=None): # real signature unknown; restored from __doc__
        """
        D.pop(k[,d]) -> v, remove specified key and return the corresponding value.
        If key is not found, d is returned if given, otherwise KeyError is raised
        """
        pass

    def popitem(self): # real signature unknown; restored from __doc__
        """
        D.popitem() -> (k, v), remove and return some (key, value) pair as a
        2-tuple; but raise KeyError if D is empty.
        """
        pass

    def setdefault(self, k, d=None): # real signature unknown; restored from __doc__
        """ D.setdefault(k[,d]) -> D.get(k,d), also set D[k]=d if k not in D """
        pass

    def update(self, E=None, **F): # known special case of dict.update
        """
        D.update([E, ]**F) -> None.  Update D from dict/iterable E and F.
        If E is present and has a .keys() method, then does:  for k in E: D[k] = E[k]
        If E is present and lacks a .keys() method, then does:  for k, v in E: D[k] = v
        In either case, this is followed by: for k in F:  D[k] = F[k]
        """
        pass