• Python collections系列之有序字典


    有序字典(orderedDict )

    orderdDict是对字典类型的补充,他记住了字典元素添加的顺序

    1、创建一个有序字典

    import collections
    
    dic = collections.OrderedDict()
    dic['k1'] = 'v1'
    dic['k2'] = 'v2'
    dic['k3'] = 'v3'

    2、查看有序字典

    print(dic)
    
    输出结果:
    OrderedDict([('k1', 'v1'), ('k2', 'v2'), ('k3', 'v3')])

    3、对比有序字典和字典

    import collections
    
    dic1 = collections.OrderedDict()  # 有序字典
    dic1['k1'] = 'v1'
    dic1['k2'] = 'v2'
    dic1['k3'] = 'v3'
    
    dic2 = dict()     # 字典
    dic2['k1'] = 'v1'
    dic2['k2'] = 'v2'
    dic2['k3'] = 'v3'
    
    print(dic)
    
    输出结果
    OrderedDict([('k1', 'v1'), ('k2', 'v2'), ('k3', 'v3')])   # 有序的
    {'k2': 'v2', 'k1': 'v1', 'k3': 'v3'}    #无序的

    4、查看有序字典的方法

    >>> dir(dic)
    ['_OrderedDict__hardroot', '_OrderedDict__map', '_OrderedDict__marker', '_OrderedDict__root', '_OrderedDict__update', '__class__', '__contains__', '__delattr__', '__delitem__', '__dict__', '__dir__', '__doc__', '__eq__', '__format__', '__ge__', '__getattribute__', '__getitem__', '__gt__', '__hash__', '__init__', '__iter__', '__le__', '__len__', '__lt__', '__module__', '__ne__', '__new__', '__reduce__', '__reduce_ex__', '__repr__', '__reversed__', '__setattr__', '__setitem__', '__sizeof__', '__str__', '__subclasshook__', '__weakref__', 'clear', 'copy', 'fromkeys', 'get', 'items', 'keys', 'move_to_end', 'pop', 'popitem', 'setdefault', 'update', 'values']
    class OrderedDict(dict):
        'Dictionary that remembers insertion order'
        # An inherited dict maps keys to values.
        # The inherited dict provides __getitem__, __len__, __contains__, and get.
        # The remaining methods are order-aware.
        # Big-O running times for all methods are the same as regular dictionaries.
    
        # The internal self.__map dict maps keys to links in a doubly linked list.
        # The circular doubly linked list starts and ends with a sentinel element.
        # The sentinel element never gets deleted (this simplifies the algorithm).
        # Each link is stored as a list of length three:  [PREV, NEXT, KEY].
    
        def __init__(self, *args, **kwds):
            '''Initialize an ordered dictionary.  The signature is the same as
            regular dictionaries, but keyword arguments are not recommended because
            their insertion order is arbitrary.
    
            '''
            if len(args) > 1:
                raise TypeError('expected at most 1 arguments, got %d' % len(args))
            try:
                self.__root
            except AttributeError:
                self.__root = root = []                     # sentinel node
                root[:] = [root, root, None]
                self.__map = {}
            self.__update(*args, **kwds)
    
        def __setitem__(self, key, value, dict_setitem=dict.__setitem__):
            'od.__setitem__(i, y) <==> od[i]=y'
            # Setting a new item creates a new link at the end of the linked list,
            # and the inherited dictionary is updated with the new key/value pair.
            if key not in self:
                root = self.__root
                last = root[0]
                last[1] = root[0] = self.__map[key] = [last, root, key]
            return dict_setitem(self, key, value)
    
        def __delitem__(self, key, dict_delitem=dict.__delitem__):
            'od.__delitem__(y) <==> del od[y]'
            # Deleting an existing item uses self.__map to find the link which gets
            # removed by updating the links in the predecessor and successor nodes.
            dict_delitem(self, key)
            link_prev, link_next, _ = self.__map.pop(key)
            link_prev[1] = link_next                        # update link_prev[NEXT]
            link_next[0] = link_prev                        # update link_next[PREV]
    
        def __iter__(self):
            'od.__iter__() <==> iter(od)'
            # Traverse the linked list in order.
            root = self.__root
            curr = root[1]                                  # start at the first node
            while curr is not root:
                yield curr[2]                               # yield the curr[KEY]
                curr = curr[1]                              # move to next node
    
        def __reversed__(self):
            'od.__reversed__() <==> reversed(od)'
            # Traverse the linked list in reverse order.
            root = self.__root
            curr = root[0]                                  # start at the last node
            while curr is not root:
                yield curr[2]                               # yield the curr[KEY]
                curr = curr[0]                              # move to previous node
    
        def clear(self):
            'od.clear() -> None.  Remove all items from od.'
            root = self.__root
            root[:] = [root, root, None]
            self.__map.clear()
            dict.clear(self)
    
        # -- the following methods do not depend on the internal structure --
    
        def keys(self):
            'od.keys() -> list of keys in od'
            return list(self)
    
        def values(self):
            'od.values() -> list of values in od'
            return [self[key] for key in self]
    
        def items(self):
            'od.items() -> list of (key, value) pairs in od'
            return [(key, self[key]) for key in self]
    
        def iterkeys(self):
            'od.iterkeys() -> an iterator over the keys in od'
            return iter(self)
    
        def itervalues(self):
            'od.itervalues -> an iterator over the values in od'
            for k in self:
                yield self[k]
    
        def iteritems(self):
            'od.iteritems -> an iterator over the (key, value) pairs in od'
            for k in self:
                yield (k, self[k])
    
        update = MutableMapping.update
    
        __update = update # let subclasses override update without breaking __init__
    
        __marker = object()
    
        def pop(self, key, default=__marker):
            '''od.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.
    
            '''
            if key in self:
                result = self[key]
                del self[key]
                return result
            if default is self.__marker:
                raise KeyError(key)
            return default
    
        def setdefault(self, key, default=None):
            'od.setdefault(k[,d]) -> od.get(k,d), also set od[k]=d if k not in od'
            if key in self:
                return self[key]
            self[key] = default
            return default
    
        def popitem(self, last=True):
            '''od.popitem() -> (k, v), return and remove a (key, value) pair.
            Pairs are returned in LIFO order if last is true or FIFO order if false.
    
            '''
            if not self:
                raise KeyError('dictionary is empty')
            key = next(reversed(self) if last else iter(self))
            value = self.pop(key)
            return key, value
    
        def __repr__(self, _repr_running={}):
            'od.__repr__() <==> repr(od)'
            call_key = id(self), _get_ident()
            if call_key in _repr_running:
                return '...'
            _repr_running[call_key] = 1
            try:
                if not self:
                    return '%s()' % (self.__class__.__name__,)
                return '%s(%r)' % (self.__class__.__name__, self.items())
            finally:
                del _repr_running[call_key]
    
        def __reduce__(self):
            'Return state information for pickling'
            items = [[k, self[k]] for k in self]
            inst_dict = vars(self).copy()
            for k in vars(OrderedDict()):
                inst_dict.pop(k, None)
            if inst_dict:
                return (self.__class__, (items,), inst_dict)
            return self.__class__, (items,)
    
        def copy(self):
            'od.copy() -> a shallow copy of od'
            return self.__class__(self)
    
        @classmethod
        def fromkeys(cls, iterable, value=None):
            '''OD.fromkeys(S[, v]) -> New ordered dictionary with keys from S.
            If not specified, the value defaults to None.
    
            '''
            self = cls()
            for key in iterable:
                self[key] = value
            return self
    
        def __eq__(self, other):
            '''od.__eq__(y) <==> od==y.  Comparison to another OD is order-sensitive
            while comparison to a regular mapping is order-insensitive.
    
            '''
            if isinstance(other, OrderedDict):
                return dict.__eq__(self, other) and all(_imap(_eq, self, other))
            return dict.__eq__(self, other)
    
        def __ne__(self, other):
            'od.__ne__(y) <==> od!=y'
            return not self == other
    
        # -- the following methods support python 3.x style dictionary views --
    
        def viewkeys(self):
            "od.viewkeys() -> a set-like object providing a view on od's keys"
            return KeysView(self)
    
        def viewvalues(self):
            "od.viewvalues() -> an object providing a view on od's values"
            return ValuesView(self)
    
        def viewitems(self):
            "od.viewitems() -> a set-like object providing a view on od's items"
            return ItemsView(self)
    OrderedDict

    5、有序字典的常用操作方法

    # setdefault 设置新键的值,默认为None
    
    import collections
    
    dic = collections.OrderedDict()
    dic['k1'] = 'v1'
    dic['k2'] = 'v2'
    dic['k3'] = 'v3'
    
    dic['k4'] = None
    dic.setdefault('k5')
    dic.setdefault('k6', 'v6')
    
    print(dic)
    输出结果: OrderedDict([(
    'k1', 'v1'), ('k2', 'v2'), ('k3', 'v3'), ('k4', None), ('k5', None), ('k6', 'v6')])
    # move_to_end 移动某个key到最后
    
    import collections
    
    dic = collections.OrderedDict()
    dic['k1'] = 'v1'
    dic['k2'] = 'v2'
    dic['k3'] = 'v3'
    
    print(dic)
    
    dic.move_to_end('k1')
    
    print(dic)
    
    输出结果:
    OrderedDict([('k1', 'v1'), ('k2', 'v2'), ('k3', 'v3')])
    OrderedDict([('k2', 'v2'), ('k3', 'v3'), ('k1', 'v1')])
    # pop 删除某个key
    
    import collections
    
    dic = collections.OrderedDict()
    dic['k1'] = 'v1'
    dic['k2'] = 'v2'
    dic['k3'] = 'v3'
    
    print(dic)
    
    dic.pop('k2')
    ret = dic.pop('k2')
    
    print(dic)
    print(ret)
    
    输出结果:
    OrderedDict([('k1', 'v1'), ('k2', 'v2'), ('k3', 'v3')])
    OrderedDict([('k1', 'v1'), ('k3', 'v3')])
    v2
    # update 新增某个key或刷新某个key值
    
    import collections
    
    dic = collections.OrderedDict()
    dic['k1'] = 'v1'
    dic['k2'] = 'v2'
    dic['k3'] = 'v3'
    
    print(dic)
    
    dic.update({'k1':'v111','k10':'v10'})
    
    print(dic)
    
    输出结果:
    OrderedDict([('k1', 'v1'), ('k2', 'v2'), ('k3', 'v3')])
    OrderedDict([('k1', 'v111'), ('k2', 'v2'), ('k3', 'v3'), ('k10', 'v10')])
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  • 原文地址:https://www.cnblogs.com/evescn/p/7511352.html
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