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  • python常用数据结构

    0. 字典初始化

    d = {‘a’:1,’b’:2}

    或 d={}

    d[‘a’] = 1

    d[‘b’] = 2

    是不是和json格式数据很相似,语法和JavaScript又很相似

    1. 变量接受序列分解:

    p = (3.14,8.23)

    X,Y = p

    print(x,y)

    3.14,8.23

    2. Collections.deque 固定长度队列。

    >>> from collections import deque

    >>> p = deque(maxlen = 2)

    >>> p.append(3.14)

    >>> p.append(8.23)

    >>> p

    deque([3.14, 8.23], maxlen=2)

    3. heapq 最大值最小值。

    >>> import heapq

    >>> p = [3.14,8.23,7.10]

    >>> heapq.nlargest(1,p)

    [8.23]

    >>> heapq.nsmallest(1,p)

    [3.14]

    5.找出两个字典相同键 和相同项

    >>> from collections import OrderedDict

    >>> d = {}

    >>> d['a'] = 1

    >>> d['c'] = 3

    >>> d['b'] = 2

    >>> dd = {}

    >>> dd['a'] = 3

    >>> dd['e'] = 5

    >>> dd['b'] = 2

    >>> d.keys() & dd.keys()

    {'a', 'b'}

    >>> d.items() & dd.items()

    {('b', 2)}

    6 去除数组或字典值重复的元素 set

    >>> d ={1,1,2,2,3,3,4,5}

    >>> set(d)

    {1, 2, 3, 4, 5}

    7 截取数组元素

    >>> d = [1,1,2,2,3,3,4,5]

    >>> d[2:4]

    [2, 2]

    >>> d[2:5]

    [2, 2, 3]

    8 统计元素出现次数Counter.most_common。

    >>> d = [1,1,1,2,2,4,5]

    >>> from collections import Counter

    >>> master = Counter(d).most_common(2)

    >>> print(master)

    [(1, 3), (2, 2)]

    4. collections.OrderedDict 有序字典

    >>> from collections import OrderedDict

    >>> d = OrderedDict()

    >>> d['a'] = 1

    >>> d['c'] = 3

    >>> d['b'] = 2

    >>> print(d)

    OrderedDict([('a', 1), ('c', 3), ('b', 2)])

    9.数组排序 operator.itemgetter

    >>> from operator import itemgetter

    >>> d = [2,1,5,4,3]

    >>> sorted(d)

    [1, 2, 3, 4, 5]

    10.字典排序 sort

    >>> from operator import itemgetter

    >>> p = [{'x':'3','y':'3'},{'x':'4','y':'4'},{'x':'2','y':'2'},{'x':'1','y':'1'}]

    >>> p.sort(key=itemgetter('x'))

    >>> print(p)

    [{'x': '1', 'y': '1'}, {'x': '2', 'y': '2'}, {'x': '3', 'y': '3'}, {'x': '4', 'y': '4'}]

    11. lambda 表达式

    >>> p = [{'x':'3','y':'3'},{'x':'4','y':'4'},{'x':'2','y':'2'},{'x':'1','y':'1'}]

    >>> pLamb = [n['x'] > '2' for n in p]

    >>> print(pLamb)

    [True, True, False, False]

    12 compress 与 11项 结合使用。

    >>> from itertools import compress

    >>> list(compress(p,pLamb))

    [{'x': '3', 'y': '3'}, {'x': '4', 'y': '4'}]

    13.逻辑上合并对象

    >>> p = {'x':1,'y':2}

    >>> p2 = {'y':3,'z':4}

    >>> from collections import ChainMap

    >>> c = ChainMap(p,p2)

    >>> print(c)

    ChainMap({'x': 1, 'y': 2}, {'y': 3, 'z': 4})

    >>> list(c.keys())

    ['x', 'z', 'y']

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  • 原文地址:https://www.cnblogs.com/huangziqing/p/7710336.html
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