我想用Python编写一个函数,根据输入索引的值返回不同的固定值。

在其他语言中,我会使用switch或case语句,但Python似乎没有switch语句。在此场景中,推荐的Python解决方案是什么?


当前回答

Python>=3.10

哇,Python 3.10+现在有一个match/case语法,类似于switch/case等等!

PEP 634——结构模式匹配

匹配/案例的选定特征

1-匹配值:

匹配值类似于另一种语言中的简单开关/大小写:

match something:
    case 1 | 2 | 3:
        # Match 1-3.
    case _:
        # Anything else.
        # 
        # Match will throw an error if this is omitted 
        # and it doesn't match any of the other patterns.

2-匹配结构模式:

match something:
    case str() | bytes():  
        # Match a string like object.
    case [str(), int()]:
        # Match a `str` and an `int` sequence 
        # (`list` or a `tuple` but not a `set` or an iterator). 
    case [_, _]:
        # Match a sequence of 2 variables.
        # To prevent a common mistake, sequence patterns don’t match strings.
    case {"bandwidth": 100, "latency": 300}:
        # Match this dict. Extra keys are ignored.

3-捕获变量

解析对象;将其保存为变量:

match something:
    case [name, count]
        # Match a sequence of any two objects and parse them into the two variables.
    case [x, y, *rest]:
        # Match a sequence of two or more objects, 
        # binding object #3 and on into the rest variable.
    case bytes() | str() as text:
        # Match any string like object and save it to the text variable.

捕获变量在解析数据(如JSON或HTML)时非常有用,这些数据可能以多种不同的模式之一出现。

捕获变量是一项功能。但这也意味着您只需要使用虚线常量(例如:COLOR.RED)。否则,常量将被视为捕获变量并被覆盖。

更多示例用法:

match something:
    case 0 | 1 | 2:
        # Matches 0, 1 or 2 (value).
        print("Small number")
    case [] | [_]:
        # Matches an empty or single value sequence (structure).
        # Matches lists and tuples but not sets.
        print("A short sequence")
    case str() | bytes():
        # Something of `str` or `bytes` type (data type).
        print("Something string-like")
    case _:
        # Anything not matched by the above.
        print("Something else")

Python<=3.9

我最喜欢的switch/case Python配方是:

choices = {'a': 1, 'b': 2}
result = choices.get(key, 'default')

简单场景的简短和简单。

比较11行以上的C代码:

// C Language version of a simple 'switch/case'.
switch( key ) 
{
    case 'a' :
        result = 1;
        break;
    case 'b' :
        result = 2;
        break;
    default :
        result = -1;
}

您甚至可以通过使用元组来分配多个变量:

choices = {'a': (1, 2, 3), 'b': (4, 5, 6)}
(result1, result2, result3) = choices.get(key, ('default1', 'default2', 'default3'))

其他回答

扩展“dict as switch”思想。如果要为交换机使用默认值:

def f(x):
    try:
        return {
            'a': 1,
            'b': 2,
        }[x]
    except KeyError:
        return 'default'

Python 3.10(2021)引入了match-case语句,该语句提供了Pythons“switch”的一流实现。例如:

def f(x):
    match x:
        case 'a':
            return 1
        case 'b':
            return 2
        case _:
            return 0   # 0 is the default case if x is not found

match-case语句比这个简单的示例强大得多。


以下原始答案写于2008年,当时还未提供匹配案例:

你可以用字典:

def f(x):
    return {
        'a': 1,
        'b': 2,
    }[x]
class switch(object):
    value = None
    def __new__(class_, value):
        class_.value = value
        return True

def case(*args):
    return any((arg == switch.value for arg in args))

用法:

while switch(n):
    if case(0):
        print "You typed zero."
        break
    if case(1, 4, 9):
        print "n is a perfect square."
        break
    if case(2):
        print "n is an even number."
    if case(2, 3, 5, 7):
        print "n is a prime number."
        break
    if case(6, 8):
        print "n is an even number."
        break
    print "Only single-digit numbers are allowed."
    break

测验:

n = 2
#Result:
#n is an even number.
#n is a prime number.
n = 11
#Result:
#Only single-digit numbers are allowed.

我一直喜欢这样做

result = {
  'a': lambda x: x * 5,
  'b': lambda x: x + 7,
  'c': lambda x: x - 2
}[value](x)

从这里开始

运行函数的解决方案:

result = {
    'case1':     foo1, 
    'case2':     foo2,
    'case3':     foo3,
}.get(option)(parameters_optional)

其中foo1()、foo2()和foo3()是函数

示例1(带参数):

option = number['type']
result = {
    'number':     value_of_int,  # result = value_of_int(number['value'])
    'text':       value_of_text, # result = value_of_text(number['value'])
    'binary':     value_of_bin,  # result = value_of_bin(number['value'])
}.get(option)(value['value'])

示例2(无参数):

option = number['type']
result = {
    'number':     func_for_number, # result = func_for_number()
    'text':       func_for_text,   # result = func_for_text()
    'binary':     func_for_bin,    # result = func_for_bin()
}.get(option)()

示例4(仅限值):

option = number['type']
result = {
    'number':    lambda: 10,       # result = 10
    'text':      lambda: 'ten',    # result = 'ten'
    'binary':    lambda: 0b101111, # result = 47
}.get(option)()