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python 判断与循环

python 判断与循环

作者: lflish | 来源:发表于2018-08-21 22:35 被阅读0次

    条件判断

    一般格式

    if <test1>:           # if test    
       <statements1>      # Associated block
    elif <test2>:         # Optional elifs    
        <statements2>
    else:                 # Optional else    
        <statements3>
    

    if/else三元表达式

        A = Y if X else Z
    

    例子

    #一般格式
    >>> if choice == 'spam':
    ...     print(1.25)
    ... elif choice == 'ham':
    ...     print(1.99)
    ... elif choice == 'eggs':
    ...     print(0.99)
    ... elif choice == 'bacon':
    ...     print(1.10)
    ... else:
    ...     print('Bad choice')
    
    #三元表达式
    >>> A = 't' if '' else 'f'
    >>> A
    'f'
    
    

    循环

    while 一般格式

    while <test>:           # Loop test    
        <statements1>       # Loop body
    else:                   # Optional else   
        <statements2>       # Run if didn't exit loop with break
    
    • break跳出最近所在的循环(跳过整个循环语句)。

    • continue跳到最近所在循环的开头处(来到循环的首行)。

    • pass什么事也不做,只是空占位语句。
      版本差异提示:Python 3.0(而不是Python 2.6)允许在可以使用表达式的任何地方使用...(三个连续的点号)来省略代码。

    • 循环else块只有当循环正常离开时才会执行(也就是没有碰到break语句)。

    while 一般格式

    while <test1>:   
        <statements1>   
        if <test2>: break     # Exit loop now, skip else   
        if <test3>: continue  # Go to top of loop now, to test1
    else:   
        <statements2>         # Run if we didn't hit a 'break'
    

    while 例子

    while x:                   # Exit when x empty    
        if match(x[0]):        
            print('Ni')        
            break              # Exit, go around else    
        x = x[1:]
    else:    
        print('Not found')     # Only here if exhausted x
    

    for 一般格式

    for <target> in <object>:      # Assign object items to target    
        <statements>    
        if <test>: break           # Exit loop now, skip else    
        if <test>: continue        # Go to top of loop now
    else:    
        <statements>               # If we didn't hit a 'break'
    

    for 例子

    #列表
    >>> for x in ["spam", "eggs", "ham"]:
    ...     print(x, end=' ')
    ...spam eggs ham
    
    #字符串
    S = "lumberjack"
    >>> for x in S: print(x, end=' ')   # Iterate over a string...l u m b e r j a c k
    
    #元组
    >>> T = [(1, 2), (3, 4), (5, 6)]
    >>> for (a, b) in T:                   # Tuple assignment at work
    ...     print(a, b)
    ...1 2
       3 4
       5 6
    
    #字典
    >>> D = {'a': 1, 'b': 2, 'c': 3}
    >>> for key in D:
    ...    print(key, '=>', D[key])          # Use dict keys iterator and index
    ...a => 1
       c => 3
       b => 2
    
    #items返回可遍历的(键, 值) 元组数组,所以字典也可以这样遍历。
    >>> for (key, value) in D.items():
    ...    print(key, '=>', value)            # Iterate over both keys and values
    ...a => 1
       c => 3
       b => 2
       
    #分片循环   
    >>> S = 'abcdefghijk'
    >>> for c in S[::2]: 
        print(c, end=' ')
    ...a c e g i k
    
    # python3 扩展
    >>> for (a, *b, c) in [(1, 2, 3, 4), (5, 6, 7, 8)]:
    ...    print(a, b, c)
    ...1 [2, 3] 4
       5 [6, 7] 8
    

    range 迭代器

    range是一个迭代器,会根据需要产生元素

    >>> list(range(-5, 5))
    [-5, -4, -3, -2, -1, 0, 1, 2, 3, 4]
    
    >>> list(range(0, len(S), 2))
    [0, 2, 4, 6, 8, 10]
    
    >>> for i in range(3):
    ...     print(i, 'Pythons')
    ...0 Pythons
       1 Pythons
       2 Pythons
     
    # 修改列表
    >>> L = [1, 2, 3, 4, 5]
    >>> for i in range(len(L)):     # Add one to each item in L
    ...     L[i] += 1               # Or L[i] = L[i] + 1
    ...
    >>> L
    [2, 3, 4, 5, 6]
       
    

    zip 并行迭代器

    >>> L1 = [1,2,3,4]
    >>> L2 = [5,6,7,8]
    
    >>> zip(L1, L2)
    <zip object at 0x026523C8>
    
    >>> list(zip(L1, L2))             # list() required in 3.0, not 2.6
    [(1, 5), (2, 6), (3, 7), (4, 8)]
    
    >>> for (x, y) in zip(L1, L2):
    ...     print(x, y, '--', x+y)
    ...1 5 -- 6
       2 6 -- 8
       3 7 -- 10
       4 8 -- 12
    

    通过zip构建字典

    # python2.2 before
    >>> keys = ['spam', 'eggs', 'toast']
    >>> vals = [1, 3, 5]
    >>> list(zip(keys, vals))[('spam', 1), ('eggs', 3), ('toast', 5)]
    >>> D2 = {}
    >>> for (k, v) in zip(keys, vals): D2[k] = v
    ...
    
    >>> D2
    {'toast': 5, 'eggs': 3, 'spam': 1}
    
    #python 2.2 later
    >>> keys = ['spam', 'eggs', 'toast']
    >>> vals = [1, 3, 5]
    >>> D3 = dict(zip(keys, vals))
    
    >>> D3
    {'toast': 5, 'eggs': 3, 'spam': 1}
    

    enumerate函数

    enumerate函数返回一个生成器,对象简而言之,这个对象有一个next方法,由下一个内置函数调用它,并且循环中每次迭代的时候它会返回一个(index,value)的元组。

    >>> S = 'spam'
    >>> for (offset, item) in enumerate(S):
    ...     print(item, 'appears at offset', offset)
    ...s appears at offset 0
       p appears at offset 1
       a appears at offset 2
       m appears at offset 3
    

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