• Python中dict详解


    from:http://www.cnblogs.com/yangyongzhi/archive/2012/09/17/2688326.html

    python3.0以上,print函数应为print(),不存在dict.iteritems()这个函数。

    在python中写中文注释会报错,这时只要在头部加上# coding=gbk即可

    #字典的添加、删除、修改操作
    dict = {"a" : "apple", "b" : "banana", "g" : "grape", "o" : "orange"}
    dict["w"] = "watermelon"
    del(dict["a"])
    dict["g"] = "grapefruit"
    print dict.pop("b")
    print dict
    dict.clear()
    print dict
    #字典的遍历
    dict = {"a" : "apple", "b" : "banana", "g" : "grape", "o" : "orange"}
    for k in dict:
        print "dict[%s] =" % k,dict[k]
    #字典items()的使用
    dict = {"a" : "apple", "b" : "banana", "c" : "grape", "d" : "orange"}
    #每个元素是一个key和value组成的元组,以列表的方式输出
    print dict.items()
    #调用items()实现字典的遍历
    dict = {"a" : "apple", "b" : "banana", "g" : "grape", "o" : "orange"}
    for (k, v) in dict.items():
        print "dict[%s] =" % k, v
    #调用iteritems()实现字典的遍历
    dict = {"a" : "apple", "b" : "banana", "c" : "grape", "d" : "orange"}
    print dict.iteritems()
    for k, v in dict.iteritems():
        print "dict[%s] =" % k, v
    for (k, v) in zip(dict.iterkeys(), dict.itervalues()):
        print "dict[%s] =" % k, v
       
    #使用列表、字典作为字典的值
    dict = {"a" : ("apple",), "bo" : {"b" : "banana", "o" : "orange"}, "g" : ["grape","grapefruit"]}
    print dict["a"]
    print dict["a"][0]
    print dict["bo"]
    print dict["bo"]["o"]
    print dict["g"]
    print dict["g"][1]
     
    dict = {"a" : "apple", "b" : "banana", "c" : "grape", "d" : "orange"}
    #输出key的列表
    print dict.keys()
    #输出value的列表
    print dict.values()
    #每个元素是一个key和value组成的元组,以列表的方式输出
    print dict.items()
    dict = {"a" : "apple", "b" : "banana", "c" : "grape", "d" : "orange"}
    it = dict.iteritems()
    print it
    #字典中元素的获取方法
    dict = {"a" : "apple", "b" : "banana", "c" : "grape", "d" : "orange"}
    print dict
    print dict.get("c", "apple")         
    print dict.get("e", "apple")
    #get()的等价语句
    D = {"key1" : "value1", "key2" : "value2"}
    if "key1" in D:
        print D["key1"]
    else:
        print "None"
    #字典的更新
    dict = {"a" : "apple", "b" : "banana"}
    print dict
    dict2 = {"c" : "grape", "d" : "orange"}
    dict.update(dict2)
    print dict
    #udpate()的等价语句
    D = {"key1" : "value1", "key2" : "value2"}
    E = {"key3" : "value3", "key4" : "value4"}
    for k in E:
        D[k] = E[k]
    print D
    #字典E中含有字典D中的key
    D = {"key1" : "value1", "key2" : "value2"}
    E = {"key2" : "value3", "key4" : "value4"}
    for k in E:
        D[k] = E[k]
    print D
    #设置默认值
    dict = {}
    dict.setdefault("a")
    print dict
    dict["a"] = "apple"
    dict.setdefault("a","default")
    print dict
    #调用sorted()排序
    dict = {"a" : "apple", "b" : "grape", "c" : "orange", "d" : "banana"}
    print dict  
    #按照key排序 
    print sorted(dict.items(), key=lambda d: d[0])
    #按照value排序 
    print sorted(dict.items(), key=lambda d: d[1])
    #字典的浅拷贝
    dict = {"a" : "apple", "b" : "grape"}
    dict2 = {"c" : "orange", "d" : "banana"}
    dict2 = dict.copy()
    print dict2

    #字典的深拷贝
    import copy
    dict = {"a" : "apple", "b" : {"g" : "grape","o" : "orange"}}
    dict2 = copy.deepcopy(dict)
    dict3 = copy.copy(dict)
    dict2["b"]["g"] = "orange"
    print dict
    dict3["b"]["g"] = "orange"
    print dict

    补充:
    1 初始化
    >>> d = dict(name='visaya', age=20)
    >>> d = dict(zip(['name', 'age'], ['visaya', 20]))

    #dict.fromkeys(listkeys, default=0) 把listkeys中的元素作为key均赋值为value,默认为0
    >>> d = dict.fromkeys(['a', 'b'], 1)
    >>> d
    {'a': 1, 'b': 1}
    2 字典视图和几何
    dict.keys()类似信使可以进行交集和并集等集合操作(类似集合,因为不存在重复的项),但dict.values()不可以进行如上操作。


    >>> k = d.keys()
    >>> k
    dict_keys(['a', 'b'])
    >>> list(k)
    ['a', 'b']
    >>> k | {'x': 3}
    {'a', 'x', 'b'}
    >>> k | {'x'}
    {'a', 'x', 'b'}
    >>> k | {'x', 'y'}
    {'a', 'y', 'b', 'x'}
    >>> k & {'x'}
    set()
    >>> v = d.values()
    >>> v
    dict_values([1, 2])
    >>> v | {'x'}
    Traceback (most recent call last):
      File "<stdin>", line 1, in <module>
    TypeError: unsupported operand type(s) for |: 'dict_values' and 'set'
    3 排序字典键
    两种方法:
    3.1 sort:
    >>> Ks = list(d.keys())
    >>> Ks.sort()
    >>> for k in Ks:
    ...     print(k, d[k])
    ... 
    a 1
    b 2
    3.2 sorted:
    >>> for k in sorted(d.keys()):
    ...     print(k, d[k])
    ... 
    a 1
    b 2

    3.3 注意
    >>> for k in list(d.keys()).sort():
    ...     print(k, d[k])
    ... 
    Traceback (most recent call last):
      File "<stdin>", line 1, in <module>
    TypeError: 'NoneType' object is not iterable


    出错原因:
    list.sort() list.append()函数都是对自身的操作,没有返回值,故需先将list(d.keys())的结果保存下来,在结果上进行sort()
    4 常用函数
    4.1 get()
    D.get(k[, d])   => D[k] if k in D else d. d defaults to none.
    4.2 pop()
    D.pop(value[, d])   => Remove specified key and return the corresponding value. If key is not found, d is returned if given, otherwise KeyError is raised.
    4.3 udpate()
        D.update(E, **F) -> None.  Update D from dict/iterable E and F.
        If E has a .keys() method, does:     for k in E: D[k] = E[k]
        If E lacks .keys() method, does:     for (k, v) in E: D[k] = v
        In either case, this is followed by: for k in F: D[k] = F[k]

    >>> d = dict(name='visaya', age=21)
    >>> d1= {'age': 20, 'sex': 'male'}
    >>> d2 = zip(['a', 'b'], [1, 2])


    >>> d.update(d1)
    >>> d
    {'age': 20, 'name': 'visaya', 'sex': 'male'}
    #for k in d1: d[k] = d1[k]


    >>> d.update(d2)
    >>> d
    {'age': 20, 'name': 'visaya', 'sex': 'male'}
    #for (k, v) in d2: d[k] = v
    4.4 del()
    del D[key]
    4.5 clear()
    4.6 copy()
    Python中的dict
    初始化
    构造方法创建
    Python代码  
    d = dict()  
    d = dict(name="nico", age=23)  
    d = dict((['name', "nico"], ['age', 23]))  
     当然还有更方便,简单的
    Python代码  
    d = {}  
    d = {"name":"nico", "age":23}  
     
     
    遍历
    通过对key的遍历,遍历整个dict
     
    Python代码  
    d = {"name":"nico", "age":23}  
    for key in d:  
        print "key=%s, value=%s" % (key, d[key])  
          
    for key in d.iterkeys():  
        print "key=%s, value=%s" % (key, d[key])  
          
    for key in d.keys():  
        print "key=%s, value=%s" % (key, d[key])  
          
    for key in iter(d):  
        print "key=%s, value=%s" % (key, d[key])  
          
    for key,item in d.items():  
        print "key=%s, value=%s" % (key, item)  
     
     当然也可以直接遍历value
     
    Python代码  
    d = {"name":"nico", "age":23}  
    for value in d.values():  
        print value  
          
    for key,value in d.viewitems():  
        print "key=%s, value=%s" % (key, value)  
      
    for value in d.viewvalues():  
        print "value=%s" % (value)  
    这里values和viewvalues的区别
     
    后者返回的是该字典的一个view对象,类似数据库中的view,当dict改变时,该view对象也跟着改变
     
    常用方法
     
    Python代码  
    d = {"name":"nico", "age":23}  
    d["name"] = "aaaa"  
    d["address"] = "abcdefg...."  
    print d   #{'age': 23, 'name': 'aaaa', 'address': 'abcdefg....'}  
     
     
    获取dict值
    Python代码  
    print d["name"]               #nico  
    print d.get("name")         #nico  
     
     如果key不在dict中,返回default,没有为None
    Python代码  
    print d.get("namex", "aaa")       #aaa  
    print d.get("namex")                  #None  
     
    排序sorted()
    Python代码  
    d = {"name":"nico", "age":23}  
    for key in sorted(d):  
        print "key=%s, value=%s" % (key, d[key])  
    #key=age, value=23  
    #key=name, value=nico  
     
     
    删除del
    Python代码  
    d = {"name":"nico", "age":23}  
    Python代码  
    del d["name"]  
    #如果key不在dict中,抛出KeyError  
    del d["names"]  
    Python代码  
    Traceback (most recent call last):  
      File "F:workspaceprojectpydevsrcdddddddd.py", line 64, in <module>  
        del d["names"]  
    KeyError: 'names'  
     
     
    清空clear()
    Python代码  
    d = {"name":"nico", "age":23}  
    d.clear()  
    print d                                                    #{}  
     
    copy()
    Python代码  
    d1 = d.copy()               #{'age': 23, 'name': 'nico'}  
    #使用返回view对象  
    d2 = d1.viewitems()    #dict_items([('age', 23), ('name', 'nico')])  
    #修改字典d1,新增元素  
    d1["cc"] = "aaaaaa"   
    print d2                   
    #dict_items([('cc', 'aaaaaa'), ('age', 23), ('name', 'nico')])  
     
     
    pop(key[, default])
    如果key在dict中,返回,不在返回default
    Python代码  
    #如果key在dict中,返回,不在返回default  
    print d.pop("name", "niccco")                #nico  
    print d.pop("namezzz", "niccco")           #niccco  
    #key不在dict中,且default值也没有,抛出KeyError  
    print d.pop("namezzz")                         #此处抛出KeyError  
     
    popitem()
    删除并返回dict中任意的一个(key,value)队,如果字典为空会抛出KeyError
    Python代码  
    d = {"name":"nico", "age":23}  
    print d.popitem()       #('age', 23)  
    print d.popitem()       #('name', 'nico')  
    #此时字典d已为空  
    print d.popitem()      #此处会抛出KeyError  
     
    update([other])
    将字典other中的元素加到dict中,key重复时将用other中的值覆盖
    Python代码  
    d = {"name":"nico", "age":23}  
    d2 = {"name":"jack", "abcd":123}  
    d.update(d2)  
    print d     #{'abcd': 123, 'age': 23, 'name': 'jack'} 

    hadoop大数据相关
  • 相关阅读:
    jmeter响应的二进制数据转化为中文
    jmeter设置中文显示与更换背景
    jmeter更改响应数据格式为中文显示
    过渡性模块重载
    金蝶自动生成拆卸单
    0123工作备份2
    0123工作备份1
    0123工作备份
    oracle中如何修改用户名和密码
    0118工作备份
  • 原文地址:https://www.cnblogs.com/zhangzl/p/4270646.html
Copyright © 2020-2023  润新知