python常用collections lib介绍

简介

本文主要介绍python3下collections lib。主要lib如下:
– Counter
– defaultdict
– deque
– OrderedDict
– namedtuple
– ChainMap

Counter

计算出现次数

>>> import collections
>>> collections.Counter([1,1,2,3,4,4,4,5])
Counter({4: 3, 1: 2, 2: 1, 3: 1, 5: 1})
>>> collections.Counter("huuinn")
Counter({'n': 2, 'u': 2, 'h': 1, 'i': 1})

defaultdict

当对应的键值不存在时,返回默认值,而不是报错

>>> import collections
>>> d = collections.defaultdict(int)
>>> d[0]
0
>>> d[2]
0

>>> d = collections.defaultdict(lambda:100)  # 想默认值非0时返回100时
>>> d[1]
100
>>> d[11]
100

>>> d = dict()
>>> d[0]
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
KeyError: 0

deque

可双向操作的队列

>>> import collections
>>> d = collections.deque([1,2,3,4])
>>> d.pop()
4
>>> d.popleft()
1
>>> d
deque([2, 3])
>>> d.appendleft(4)
>>> d.append(1)
>>> d
deque([4, 2, 3, 1])

OrderedDict

值按顺序添加到对象里

>>> import collections
>>> o = collections.OrderedDict()
>>> o['first']=1
>>> o['second']=2
>>> o
OrderedDict([('first', 1), ('second', 2)])

>>> o['second']=3
>>> o
OrderedDict([('first', 1), ('second', 3)])

namedtuple

让tuple类型的元素当作类成员属性来访问

>>> import collections
>>> N = collections.namedtuple('Fruit',['apple','grape'])
>>> N(*[1,2])
Fruit(apple=1, grape=2)
>>> n = N(*[1,2])
>>> n
Fruit(apple=1, grape=2)
>>> n.apple
1
>>> n.grape
2

ChainMap

多个字典合并

>>> import collections
>>> c = collections.ChainMap({1:2,3:4},{5:6,7:8})
>>> c = c.new_child({9:10,11:12})
>>> c
ChainMap({9: 10, 11: 12}, {1: 2, 3: 4}, {5: 6, 7: 8})
>>> c[9]
10
>>> c.maps
[{9: 10, 11: 12}, {1: 2, 3: 4}, {5: 6, 7: 8}]
>>> c.maps[0]
{9: 10, 11: 12}

发表回复

您的电子邮箱地址不会被公开。 必填项已用 * 标注