• Python常用标准库之datetime、random、hashlib、itertools


    库:具有相关功能模块的集合

    import sys.builtin_module_names  #返回内建模块的名字
    modules 查看所有可用模块的名字

    1.1.1获取当前日期和时间
    from datetime import datetime
    now = datetime.now()
    now1 = datetime.today()
    print(now)  #2018-11-05 16:59:02.950893
    print(now1) #2018-11-05 16:59:02.950894
    
    dt = now.timestamp()    #timestamp指1970-1-1 00:00:00到现在时间的秒数
    print(dt)   #1541408474.822436
    
    dt_1 = datetime.fromtimestamp(dt)
    print(dt_1) #1541408474.822436
    1.1.2 datetime与str
    str转换成datetime:strptime()
    datetime转换成str:strftime()
    先格式化一个格式:('%Y-%m-%d %H:%M:%S')
    
    
    from datetime import datetime
    s = '2018-3-27 14:23:34'
    print(type(s))
    f = '%Y-%m-%d %H:%M:%S'
    c = datetime.strptime(s,f)
    print(c)        #2018-03-27 14:23:34
    
    now = datetime.now()
    print(now)  #2018-11-05 17:17:24.497495
    
    print(now.strftime('%a-%b-%d %H:%M:%S'))    #Mon-Nov-05 17:16:12
    
    
    

    1.1.3  calendar

    import calendar
    print(calendar.month(2018,4))
    
    
    

    1.1.4 创建一个坐标

    from collections import namedtuple
    Point = namedtuple('Point', ['x', 'y'])
    p = Point(1,2)
    print(p.x,p.y)
    print(isinstance(p,Point))  #True
    
    from collections import namedtuple
    Circle = namedtuple('Circle', ['x', 'y','r'])
    p = Circle(1,2,3)
    print(p.x,p.y,p.r)
    1.1.5  deque  
    为了高效实现插入和删除的双向列表(列表有序不唯一)
    from collections import deque
    q = deque(['a','b','c'])
    q.append('d')
    q.appendleft('z')
    print(q)       #deque(['z', 'a', 'b', 'c', 'd'])
    q.pop()
    print(q)        #deque(['z', 'a', 'b', 'c'])
    q.popleft()
    print(q)        #deque(['a', 'b', 'c'])
    

     1.1.6  defaultdict

    平时使用dict,如果引用的key不存在时,会抛出KeyError defaultdict
    当key不存在时,返回一个默认值
    from collections import defaultdict
    dd = defaultdict(lambda :'N/A')
    dd['key1'] = 'aaa'
    print(dd['key1'])       #aaa
    print(dd['key2'])       #N/A
    

     1.1.7 Counter  计数器,不存在返回0

    from collections import Counter
    c = Counter()     #0
    print(c['hello'])
    for ch in 'programming':
        c[ch] += 1
    print(c)      #Counter({'r': 2, 'g': 2, 'm': 2, 'p': 1, 'o': 1, 'a': 1, 'i': 1, 'n': 1})
    

     1.1.8  random

    from collections import Counter
    c = Counter()     #0
    print(c['hello'])
    for ch in 'programming':
        c[ch] += 1
    print(c)      #Counter({'r': 2, 'g': 2, 'm': 2, 'p': 1, 'o': 1, 'a': 1, 'i': 1, 'n': 1})
    
    from collections import random
    import random
    print(random.randint(1,10))
    print(random.random())
    

    2.0  MD5算法---32位16进制数

    import hashlib
    md5 = hashlib.md5()
    s = "hello python how to use md5in python".encode("utf-8")
    md5.update(s)
    result = md5.hexdigest()
    print(result)   #ce1f253dc79dd372c57e0d295ab971e3
    

    3.0  SHA1算法--40位16进制数

    import hashlib
    # md5 = hashlib.md5()
    sha = hashlib.sha1()
    s = "hello python how to use md5in python".encode("utf-8")
    # md5.update(s)
    sha.update(s)
    result = sha.hexdigest()
    print(result)       #e1d3e8e095660fca20e6ecaaddf6810648d8b8d9
    

    4.0  itertools模块---用于迭代

    无限迭代器
    import itertools
    cs = itertools.cycle('ABC')
    for c in cs:
        print(c)    #输出无限迭代后的结果
    
    groupby()将迭代器中相邻的重复元素挑出来放在一起
    import itertools
    for key,group in itertools.groupby('AAAbbbbCCCBBB'):
        print(key,list(group))
    '''结果:
    A ['A', 'A', 'A']
    b ['b', 'b', 'b', 'b']
    C ['C', 'C', 'C']
    B ['B', 'B', 'B']
    '''
    

     5.0 爬虫模块

    urlib模块:提供一系列用于操作URL的功能
    re模块:为高级字符串处理正则表达式工具
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  • 原文地址:https://www.cnblogs.com/Cheryol/p/9910276.html
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