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python更多语法

python更多语法

一、if 语句

python支持 if 语句。例:

>>> x = int(raw_input("Please enter an integer: "))
Please enter an integer: 42
>>> if x < 0:
...     x = 0
...     print 'Negative changed to zero'
... elif x == 0:
...     print 'Zero'
... elif x == 1:
...     print 'Single'
... else:
...     print 'More'
...
More      

elif 语句可以是零个、一个或多个;也可没有else 部分。elif 是 else if 的缩写。另外,条件后面的语句要注意使用缩进。否则会出现缩进错误。

python更多语法
python更多语法

二、for 语句

python 中的for 语句与 C 和 Pascal 的风格不一样。例:

>>> # 声明字符串数组:
... words = ['cat', 'window', 'defenestrate']
>>> for w in words:
...     print w, len(w)
...
cat 3
window 6
defenestrate 12

>>> for w in words[:]:
...     if len(w) > 6:
...         words.insert(0, w)
...
>>> words
['defenestrate', 'cat', 'window', 'defenestrate']      

三、range() 函数

range() 函数用于产生一定范围的数。例:

>>> range(10)   # 一个参数,0-10的数,公差是1.
[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
>>> range(5, 10)    # 两个参数,5-10的数,公差是1.
[5, 6, 7, 8, 9]
>>> range(0, 10, 3) # 三个参数,0-10的数,公差是3.
[0, 3, 6, 9]
>>> range(-10, -100, -30)   #三个参数,-10 ~ -100,公差是-30.
[-10, -40, -70]      
>>> a = ['Mary', 'had', 'a', 'little', 'lamb']
>>> for i in range(len(a)):
...     print i, a[i]
...
0 Mary
1 had
2 a
3 little
4 lamb      

四、break、continue语句

二者都用于跳出循环。break 在某次跳出循环后便不再继续后面的循环;continue在某次跳出循环后仍继续后面的循环。例:

>>> for n in range(2, 10):
...     for x in range(2, n):
...         if n % x == 0:
...             print n, 'equals', x, '*', n/x
...             break
...     else:
...         print n, 'is a prime number'
...
2 is a prime number
3 is a prime number
4 equals 2 * 2
5 is a prime number
6 equals 2 * 3
7 is a prime number
8 equals 2 * 4
9 equals 3 * 3      
>>> for num in range(2, 10):
...     if num % 2 == 0:
...         print "Found an even number", num
...         continue
...     print "Found a number", num
Found an even number 2
Found a number 3
Found an even number 4
Found a number 5
Found an even number 6
Found a number 7
Found an even number 8
Found a number 9      

五、pass语句

pass 语句表示什么都不做。相当于空。例:

>>> while True: # 空循环
...     pass  
...      
>>> class MyEmptyClass: # 空类
...     pass
...      
>>> def initlog(*args): # 空方法
...     pass   
...      

六、声明(定义)函数(方法)

如此定义使用函数:

# 例一
>>> def fib(n): # 定义 fib 函数,此函数有一个参数 n.def 是 define的缩写。
...     a, b = 0, 1 # 函数体必须缩进,不然会出现缩进错误。
...     while a < n:
...         print a,
...         a, b = b, a+b
...
>>> # 调用函数 fib(n)
... fib(2000)
0 1 1 2 3 5 8 13 21 34 55 89 144 233 377 610 987 1597      
#例二
>>> def fib2(n):
...     result = []
...     a, b = 0, 1
...     while a < n:
...         result.append(a)    
...         a, b = b, a+b
...     return result   # 返回 result 的值
...
>>> f100 = fib2(100)    
>>> f100                # 输出结果
[0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89]      
#例三
def ask_ok(prompt, retries=4, complaint='Yes or no, please!'):
                    # 参数有默认值
    while True:
        ok = raw_input(prompt)
        if ok in ('y', 'ye', 'yes'): # in 检测 ok 是否是()中备选值之一。
            return True
        if ok in ('n', 'no', 'nop', 'nope'):
            return False
        retries = retries - 1
        if retries < 0:
            raise IOError('refusenik user')
        print complaint      

可以这样调用例三中的方法:

  • ask_ok(‘Do you reallywant to quit?’)
  • ask_ok(‘OK to overwritethe file?’, 2)
  • ask_ok(‘OK to overwrite thefile?’, 2, ‘Come on, only yes or no!’)

再看几个例子:

>>>i = 5

>>>def f(arg=i):
...    print arg

>>>i = 6
>>>f()

5   # 结果是 5 而不是 6.      
>>>def f(a, L=[]):
...    L.append(a)  # 每次调用此方法都会在 L 中追加 a
...    return L

>>>print f(1)
>>>print f(2)
>>>print f(3)

[1]
[1, 2]
[1, 2, 3]      
>>>def f(a, L=None):
...    if L is None:
...        L = []   # 每次调用此方法都会清空 L
...    L.append(a)
...    return L

>>>print f(1)
>>>print f(2)
>>>print f(3)

[1]
[2]
[3]      

七、关键参数

可以通过设定关键参数的方法调用函数。例:

def parrot(voltage, state='a stiff', action='voom', type='Norwegian Blue'):
    print "-- This parrot wouldn't", action,
    print "if you put", voltage, "volts through it."
    print "-- Lovely plumage, the", type
    print "-- It's", state, "!"      

此函数含有一个必要参数(voltage)和三个可选参数(state,action,type)。

可以这样调用此函数:

parrot(1000)                                         
parrot(voltage=1000)                                  
parrot(voltage=1000000, action='VOOOOOM')             
parrot(action='VOOOOOM', voltage=1000000)             
parrot('a million', 'bereft of life', 'jump')         
parrot('a thousand', state='pushing up the daisies')      

但不可以这样调用:

parrot()                    
parrot(voltage=5.0, 'dead')  
parrot(110, voltage=220)     
parrot(actor='John Cleese')      

再看一个错误的调用:

>>> def function(a):
...     pass
...
>>> function(0, a=0)    # 给 a 赋了多个值,当然会出错。
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
TypeError: function() got multiple values for keyword argument 'a'      

再看一个例子:

>>>def cheeseshop(kind, *arguments, **keywords):
...    print "-- Do you have any", kind, "?"
...    print "-- I'm sorry, we're all out of", kind
...    for arg in arguments:
...        print arg
...    print "-" * 40
...    keys = sorted(keywords.keys())
...    for kw in keys:
...        print kw, ":", keywords[kw]

>>>cheeseshop("Limburger", "It's very runny, sir.", # 调用
           "It's really very, VERY runny, sir.",
           shopkeeper='Michael Palin',
           client="John Cleese",
           sketch="Cheese Shop Sketch")    


-- Do you have any Limburger ?  # 结果
-- I'm sorry, we're all out of Limburger
It's very runny, sir.
It's really very, VERY runny, sir.
----------------------------------------
client : John Cleese
shopkeeper : Michael Palin
sketch : Cheese Shop Sketch      

调用时传递了 6 个参数。其中Limburger是 参数kind的值; shopkeeper ,client,sketch 都未在cheeseshop 函数中定义。所以这三个参数将被存在 **keywords 中。其余两个字符串将被存在 *arguments 中。

八、解析列表或元组中的参数。

假如某个函数需要传多个参数。可以将需要传递的各个参数定义在一个列表中。而后使用 * 得到各个参数。例:

>>> range(3, 6)             # 此方法需要两个参数
[3, 4, 5]

>>> args = [3, 6]
>>> range(*args)            # 用 * 取得列表中的各个元素值
[3, 4, 5]      

也可以将参数定义在元组中。而后使用 ** 得到各个参数。例:

>>> def parrot(voltage, state='a stiff', action='voom'):
...     print "-- This parrot wouldn't", action,
...     print "if you put", voltage, "volts through it.",
...     print "E's", state, "!"
...

>>> d = {"voltage": "four million", "state": "bleedin' demised", "action": "VOOM"}
>>> parrot(**d)

-- This parrot wouldn't VOOM if you put four million volts through it. E's bleedin' demised !      

九、Lambda 表达式

用关键字 lambda 指定一个匿名函数。例:

>>> def make_incrementor(n):
...     return lambda x: x + n
...
>>> f = make_incrementor(42)
>>> f(0)
42
>>> f(1)
43      

make_incrementor 函数返回的结果是个匿名函数。该函数需要一个参数 x 。因此可以用 f(0) 的形式继续计算。

另一种用法是将函数当参数传递。例:

>>> pairs = [(1, 'one'), (2, 'two'), (3, 'three'), (4, 'four')]
>>> pairs.sort(key=lambda pair: pair[1])
>>> pairs
[(4, 'four'), (1, 'one'), (3, 'three'), (2, 'two')]      

十、大文本字符串

如此用:

>>> def my_function():
...     """Do nothing, but document it.
...
...     No, really, it doesn't do anything.
...     """
...     pass
...
>>> print my_function.__doc__
Do nothing, but document it.

    No, really, it doesn't do anything.