再再肝3天，整理了70个Python面向对象编程案例，怎能不收藏？

Python 作为一门面向对象编程语言，常用的面向对象知识怎么能不清楚呢，今天就来分享一波文章很长，高低要忍一下，如果忍不了，那就收藏吧，总会用到的萝卜哥也贴心的做成了PDF，在文末获取！ [TOC] ## 在 Python 中创建一个类及其对象 ```Python class Employee: salary = 10000 name = "John Doe" emp1 = Employee() print(emp1.salary) print(emp1.name) ``` Output: ```Text 10000 John Doe ``` ## 在 Python 中创建一个空类 ```Python class Employee: pass e1 = Employee() print(e1) e1.name = "John Doe" print(e1.name) ``` Output: ```Text <__main__.Employee object at 0x0000000002DA51D0> John Doe ``` ## 在 Python 中使用 Type 创建类 ```Python e1 = type('Employee', (), {})() print(e1) e1.name = "John Doe" print(e1.name) ``` Output: ```Text <__main__.Employee object at 0x0000000002DCC780> John Doe ``` ## 在 Python 中创建和调用类的方法 ```Python class Employee: salary = 10000 name = "John Doe" def tax(self): print(self.salary * 0.10) emp1 = Employee() print(emp1.salary) print(emp1.name) emp1.tax() ``` Output: ```Text 10000 John Doe 1000.0 ``` ## 使用 __init__() 方法为数据属性赋值 ```Python class Employee: def __init__(self, salary, name): self.salary = salary self.name = name emp1 = Employee(10000, "John Doe") print(emp1.salary) print(emp1.name) ``` Output: ```Text 10000 John Doe ``` ## 在 Python 中更新对象属性 ```Python class Employee: def __init__(self, salary, name): self.salary = salary self.name = name emp1 = Employee(10000, "John Doe") print(emp1.salary) emp1.salary = 20000 print(emp1.salary) ``` Output: ```Text 10000 20000 ``` ## 在 Python 中删除对象属性和对象 ```Python class Employee: def __init__(self, salary, name): self.salary = salary self.name = name emp1 = Employee(10000, "John Doe") del emp1.salary # Delete object property del emp1 # Delete object ``` Output: ```Text 哈哈 ``` ## 在 Python 中检查和比较对象的类型 ```Python class Test(object): pass print(type(Test)) obj1 = Test() print(type(obj1)) obj2 = Test() print(type(obj1) is type(obj2)) ``` Output: ```Text < class 'type' > < class '__main__.Test' > True ``` ## 在Python中将对象的所有属性复制到另一个对象 ```Python class MyClass(object): def __init__(self): super(MyClass, self).__init__() self.foo = 1 self.bar = 2 obj1 = MyClass() obj2 = MyClass() obj1.foo = 25 obj2.__dict__.update(obj1.__dict__) print(obj1.foo) print(obj2.foo) ``` Output: ```Text 25 25 ``` ## 在 Python 中迭代对象属性 ```Python class A(): m = 1 n = 2 def __int__(self, x=1, y=2, z=3): self.x = x self._y = y self.__z__ = z def xyz(self): print(x, y, z) obj = A() print(dir(obj)) print([a for a in dir(obj) if not a.startswith('__')]) ``` Output: ```Text ['__class__', '__delattr__', '__dict__', '__dir__', '__doc__', '__eq__', '__format__', '__ge__', '__getattribute__', '__gt__', '__hash__', '__init__', '__int__', '__le__', '__lt__', '__module__', '__ne__', '__new__', '__reduce__', '__reduce_ex__', '__repr__', '__setattr__', '__sizeof__', '__str__', '__subclasshook__', '__weakref__', 'm', 'n', 'xyz'] ['m', 'n', 'xyz'] ``` ## 在 Python 中打印对象的所有属性 ```Python class Animal(object): def __init__(self): self.eyes = 2 self.name = 'Dog' self.color= 'Spotted' self.legs= 4 self.age = 10 self.kids = 0 animal = Animal() animal.tail = 1 temp = vars(animal) for item in temp: print(item, ':', temp[item]) ``` Output: ```Text kids : 0 eyes : 2 name : Dog color : Spotted tail : 1 legs : 4 age : 10 ``` ## 在python中在运行时创建类的数据属性 ```Python class Employee: pass emp1 = Employee() setattr(emp1, 'Salary', 12000) emp2 = Employee() setattr(emp2, 'Age', 25) print(emp1.Salary) print(emp2.Age) ``` Output: ```Text 12000 25 ``` ## 在函数中将对象的实例作为参数传递 ```Python class Vehicle: def __init__(self): self.trucks = [] def add_truck(self, truck): self.trucks.append(truck) class Truck: def __init__(self, color): self.color = color def __repr__(self): return "{}".format(self.color) def main(): v = Vehicle() for t in 'Red Blue Black'.split(): t = Truck(t) v.add_truck(t) print(v.trucks) if __name__ == "__main__": main() ``` Output: ```Text [Red, Blue, Black] ``` ## 在 Python 中创建和使用自定义 Self 参数 ```Python class Employee: def __init__(person, salary, name): person.salary = salary person.name = name def print_details(emp): print(str(emp.salary) + ' : ' + emp.name) emp1 = Employee(10000, 'John Doe') emp1.print_details() ``` Output: ```Text 10000 : John Doe ``` ## 使用self参数来维护对象的状态 ```Python class State(object): def __init__(self): self.field = 5.0 def add(self, x): self.field += x def mul(self, x): self.field *= x def div(self, x): self.field /= x def sub(self, x): self.field -= x s = State() print(s.field) s.add(2) # Self is implicitly passed. print(s.field) s.mul(2) # Self is implicitly passed. print(s.field) s.div(2) # Self is implicitly passed. print(s.field) s.sub(2) # Self is implicitly passed. print(s.field) ``` Output: ```Text 5.0 7.0 14.0 7.0 5.0 ``` ## 在 Python 中创建和使用静态类变量 ```Python class Employee: age = 25 print(Employee.age) e = Employee() print(e.age) e.age = 30 print(Employee.age) # 25 print(e.age) # 30 ``` Output: ```Text 25 25 25 30 ``` ## 在 Python 中的一个函数上使用多个装饰器 ```Python def my_decorator(func): def wrapper(): print("Step - 1") func() print("Step - 3") return wrapper def repeat(func): def wrapper(): func() func() func() return wrapper @my_decorator @repeat def start_steps(): print("Step - 2") start_steps() ``` Output: ```Text Step - 1 Step - 2 Step - 2 Step - 2 Step - 3 ``` ## 在 Python 中的方法中同时访问 cls 和 self ```Python class MyClass: __var2 = 'var2' var3 = 'var3' def __init__(self): self.__var1 = 'var1' def normal_method(self): print(self.__var1) @classmethod def class_method(cls): print(cls.__var2) def my_method(self): print(self.__var1) print(self.__var2) print(self.__class__.__var2) if __name__ == '__main__': print(MyClass.__dict__['var3']) clzz = MyClass() clzz.my_method() ``` Output: ```Text var3 var1 var2 var2 ``` ## 从装饰器访问实例方法的类 ```Python class Decorator(object): def __init__(self, decoratee_enclosing_class): self.decoratee_enclosing_class = decoratee_enclosing_class def __call__(self, original_func): def new_function(*args, **kwargs): print('decorating function in ', self.decoratee_enclosing_class) original_func(*args, **kwargs) return new_function class Bar(object): @Decorator('Bar') def foo(self): print('in foo') class Baz(object): @Decorator('Baz') def foo(self): print('in foo') print('before instantiating Bar()') b = Bar() print('calling b.foo()') b.foo() ``` Output: ```Text before instantiating Bar() calling b.foo() decorating function in Bar in foo ``` ## 使用给定的装饰器获取 Python 类的所有方法 ```Python import inspect def deco(func): return func def deco2(): def wrapper(func): pass return wrapper class Test(object): @deco def method(self): pass @deco2() def method2(self): pass def methodsWithDecorator(cls, decoratorName): sourcelines = inspect.getsourcelines(cls)[0] for i, line in enumerate(sourcelines): line = line.strip() if line.split('(')[0].strip() == '@' + decoratorName: # leaving a bit out nextLine = sourcelines[i + 1] name = nextLine.split('def')[1].split('(')[0].strip() yield(name) print(list(methodsWithDecorator(Test, 'deco'))) print(list(methodsWithDecorator(Test, 'deco2'))) ``` Output: ```Text ['method'] ['method2'] ``` ## 装饰一个 class ```Python from functools import wraps def dec(msg='default'): def decorator(klass): old_foo = klass.foo @wraps(klass.foo) def decorated_foo(self, *args, **kwargs): print('@decorator pre %s' % msg) old_foo(self, *args, **kwargs) print('@decorator post %s' % msg) klass.foo = decorated_foo return klass return decorator @dec('foo decorator') class Foo(object): def foo(self, *args, **kwargs): print('foo.foo()') @dec('subfoo decorator') class SubFoo(Foo): def foo(self, *args, **kwargs): print('subfoo.foo() pre') super(SubFoo, self).foo(*args, **kwargs) print('subfoo.foo() post') @dec('subsubfoo decorator') class SubSubFoo(SubFoo): def foo(self, *args, **kwargs): print('subsubfoo.foo() pre') super(SubSubFoo, self).foo(*args, **kwargs) print('subsubfoo.foo() post') SubSubFoo().foo() ``` Output: ```Text @decorator pre subsubfoo decorator subsubfoo.foo() pre @decorator pre subfoo decorator subfoo.foo() pre @decorator pre foo decorator foo.foo() @decorator post foo decorator subfoo.foo() post @decorator post subfoo decorator subsubfoo.foo() post @decorator post subsubfoo decorator ``` ## 将类字段作为参数传递给类方法上的装饰器 ```Python import functools # imagine this is at some different place and cannot be changed def check_authorization(some_attr, url): def decorator(func): @functools.wraps(func) def wrapper(*args, **kwargs): print(f"Welcome Message: '{url}'...") return func(*args, **kwargs) return wrapper return decorator # another dummy function to make the example work def do_work(): print("work is done...") def custom_check_authorization(some_attr): def decorator(func): # assuming this will be used only on this particular class @functools.wraps(func) def wrapper(self, *args, **kwargs): # get url url = self.url # decorate function with original decorator, pass url return check_authorization(some_attr, url)(func)(self, *args, **kwargs) return wrapper return decorator class Client(object): def __init__(self, url): self.url = url @custom_check_authorization("some_attr") def get(self): do_work() # create object client = Client('Hello World') # call decorated function client.get() ``` Output: ```Text Welcome Message: 'Hello World'... work is done... ``` ## 在 Python 中创建多个传入参数列表的类变量 ```Python class Employee(object): def __init__(self, **kwargs): for key in kwargs: setattr(self, key, kwargs[key]) emp = Employee(age=25, name="John Doe") print(emp.age) print(emp.name) ``` Output: ```Text 25 John Doe ``` ## Python 中的 wraps 装饰器 ```Python from functools import wraps def decorator_func_with_args(arg1, arg2): def decorator(f): @wraps(f) def wrapper(*args, **kwargs): print("Before orginal function with decorator args:", arg1, arg2) result = f(*args, **kwargs) print("Ran after the orginal function") return result return wrapper return decorator @decorator_func_with_args("test1", "test2") def hello(name): """A function which prints a greeting to the name provided. """ print('Hello ', name) return 25 print("Starting script..") x = hello('John') print("The value of x is:", x) print("The wrapped functions docstring is:", hello.__doc__) print("The wrapped functions name is:", hello.__name__) ``` Output: ```Text Starting script.. Before orginal function with decorator args: test1 test2 Hello John Ran after the orginal function The value of x is: 25 The wrapped functions docstring is: A function which prints a greeting to the name provided. The wrapped functions name is: hello ``` ## 使用可选参数构建装饰器 ```Python def d(arg): if callable(arg): # Assumes optional argument isn't. def newfn(): print('my default message') return arg() return newfn else: def d2(fn): def newfn(): print(arg) return fn() return newfn return d2 @d('This is working') def hello(): print('hello world !') @d # No explicit arguments will result in default message. def hello2(): print('hello2 world !') @d('Applying it twice') @d('Would also work') def hello3(): print('hello3 world !') hello() hello2() hello3() ``` Output: ```Text This is working hello world ! my default message hello2 world ! Applying it twice Would also work hello3 world ! ``` ## 在 Python 中将参数传递给装饰器 ```Python def decorator_maker_with_arguments(decorator_arg1, decorator_arg2, decorator_arg3): def decorator(func): def wrapper(function_arg1, function_arg2, function_arg3): print("The wrapper can access all the variables\n" "\t- from the decorator maker: {0} {1} {2}\n" "\t- from the function call: {3} {4} {5}\n" "and pass them to the decorated function" .format(decorator_arg1, decorator_arg2, decorator_arg3, function_arg1, function_arg2, function_arg3)) return func(function_arg1, function_arg2, function_arg3) return wrapper return decorator @decorator_maker_with_arguments("canada", "us", "brazil") def decorated_function_with_arguments(function_arg1, function_arg2, function_arg3): print("This is the decorated function and it only knows about its arguments: {0}" " {1}" " {2}".format(function_arg1, function_arg2, function_arg3)) decorated_function_with_arguments("france", "germany", "uk") ``` Output: ```Text The wrapper can access all the variables - from the decorator maker: canada us brazil - from the function call: france germany uk and pass them to the decorated function This is the decorated function and it only knows about its arguments: france germany uk ``` ## @property 装饰器 ```Python class Currency: def __init__(self, dollars, cents): self.total_cents = dollars * 100 + cents @property def dollars(self): return self.total_cents // 100 @dollars.setter def dollars(self, new_dollars): self.total_cents = 100 * new_dollars + self.cents @property def cents(self): return self.total_cents % 100 @cents.setter def cents(self, new_cents): self.total_cents = 100 * self.dollars + new_cents currency = Currency(10, 20) print(currency.dollars, currency.cents, currency.total_cents) currency.dollars += 5 print(currency.dollars, currency.cents, currency.total_cents) currency.cents += 15 print(currency.dollars, currency.cents, currency.total_cents) ``` Output: ```Text 10 20 1020 15 20 1520 15 35 1535 ``` ## 类和函数的装饰器 ```Python from functools import wraps def decorator(func): @wraps(func) def wrapper(*args, **kwargs): print('sth to log: %s : %s' % (func.__name__, args)) return func(*args, **kwargs) return wrapper class Class_test(object): @decorator def sum_func(self, a, b): print('class sum: %s' % (a + b)) return a + b print(Class_test.sum_func(1, 5, 16)) ``` Output: ```Text sth to log: sum_func : (1, 5, 16) class sum: 21 21 ``` ## Python 中带参数和返回值的装饰器 ```Python def calculation(func): def wrapper(*args, **kwargs): print("Inside the calculation function") num_sum = func(*args, **kwargs) print("Before return from calculation function") return num_sum return wrapper @calculation def addition(a, b): print("Inside the addition function") return a + b print("Sum =", addition(5, 10)) ``` Output: ```Text Inside the calculation function Inside the addition function Before return from calculation function Sum = 15 ``` ## Python 使用参数 wraps 装饰器 ```Python from functools import wraps def decorator_func_with_args(arg1, arg2): def decorator(f): @wraps(f) def wrapper(*args, **kwargs): print("Before orginal function with decorator args:", arg1, arg2) result = f(*args, **kwargs) print("Ran after the orginal function") return result return wrapper return decorator @decorator_func_with_args("test1", "test2") def hello(name): """A function which prints a greeting to the name provided. """ print('Hello ', name) return 25 print("Starting script..") x = hello('John') print("The value of x is:", x) print("The wrapped functions docstring is:", hello.__doc__) print("The wrapped functions name is:", hello.__name__) ``` Output: ```Text Starting script.. Before orginal function with decorator args: test1 test2 Hello John Ran after the orginal function The value of x is: 25 The wrapped functions docstring is: A function which prints a greeting to the name provided. The wrapped functions name is: hello ``` ## Python 装饰器获取类名 ```Python def print_name(*args): def _print_name(fn): def wrapper(*args, **kwargs): print('{}.{}'.format(fn.__module__, fn.__qualname__)) return fn(*args, **kwargs) return wrapper return _print_name class A(): @print_name() def a(): print('Hi from A.a') @print_name() def b(): print('Hi from b') A.a() b() ``` Output: ```Text __main__.A.a Hi from A.a __main__.b Hi from b ``` ## 简单装饰器示例 ```Python def my_decorator(func): def wrapper(): print("Step - 1") func() print("Step - 3") return wrapper @my_decorator def start_steps(): print("Step - 2") start_steps() ``` Output: ```Text Step - 1 Step - 2 Step - 3 ``` ## 在 Python 中使用 print() 打印类的实例 ```Python class Element: def __init__(self, name, city, population): self.name = name self.city = city self.population = population def __str__(self): return str(self.__class__) + '\n' + '\n'.join(('{} = {}'.format(item, self.__dict__[item]) for item in self.__dict__)) elem = Element('canada', 'tokyo', 321345) print(elem) ``` Output: ```Text name = canada city = tokyo population = 321345 ``` ## 在 Python 中的类中将装饰器定义为方法 ```Python class myclass: def __init__(self): self.cnt = 0 def counter(self, function): """ this method counts the number of runtime of a function """ def wrapper(**args): function(self, **args) self.cnt += 1 print('Counter inside wrapper: ', self.cnt) return wrapper global counter_object counter_object = myclass() @counter_object.counter def somefunc(self): print("Somefunc called") somefunc() print(counter_object.cnt) somefunc() print(counter_object.cnt) somefunc() print(counter_object.cnt) ``` Output: ```Text Somefunc called Counter inside wrapper: 1 1 Somefunc called Counter inside wrapper: 2 2 Somefunc called Counter inside wrapper: 3 3 ``` ## 获取在 Python 中修饰的给定类的所有方法 ```Python class awesome(object): def __init__(self, method): self._method = method def __call__(self, obj, *args, **kwargs): return self._method(obj, *args, **kwargs) @classmethod def methods(cls, subject): def g(): for name in dir(subject): method = getattr(subject, name) if isinstance(method, awesome): yield name, method return {name: method for name, method in g()} class Robot(object): @awesome def think(self): return 0 @awesome def walk(self): return 0 def irritate(self, other): return 0 print(awesome.methods(Robot)) ``` Output: ```Text {'think': <__main__.awesome object at 0x00000213C052AAC0>, 'walk': <__main__.awesome object at 0x00000213C0E33FA0>} ``` ## 带参数和不带参数的 Python 装饰器 ```Python def someDecorator(arg=None): def decorator(func): def wrapper(*a, **ka): if not callable(arg): print(arg) return func(*a, **ka) else: return 'xxxxx' return wrapper if callable(arg): return decorator(arg) # return 'wrapper' else: return decorator # ... or 'decorator' @someDecorator(arg=1) def my_func(): print('my_func') @someDecorator def my_func1(): print('my_func1') if __name__ == "__main__": my_func() my_func1() ``` Output: ```Text 1 my_func ``` ## Python 中带有 self 参数的类方法装饰器 ```Python def check_authorization(f): def wrapper(*args): print('Inside wrapper function argement passed :', args[0].url) return f(*args) return wrapper class Client(object): def __init__(self, url): self.url = url @check_authorization def get(self): print('Inside get function argement passed :', self.url) Client('Canada').get() ``` Output: ```Text Inside wrapper function argement passed : Canada Inside get function argement passed : Canada ``` ## 在 Python 中的另一个类中使用隐藏的装饰器 ```Python class TestA(object): def _decorator(foo): def magic(self): print("Start magic") foo(self) print("End magic") return magic @_decorator def bar(self): print("Normal call") _decorator = staticmethod(_decorator) class TestB(TestA): @TestA._decorator def bar(self): print("Override bar in") super(TestB, self).bar() print("Override bar out") print("Normal:") test = TestA() test.bar() print('-' * 10) print("Inherited:") b = TestB() b.bar() ``` Output: ```Text Normal: Start magic Normal call End magic ---------- Inherited: Start magic Override bar in Start magic Normal call End magic Override bar out End magic ``` ## 装饰器内部的 self 对象 ```Python import random def only_registered_users(func): def wrapper(handler): print('Checking if user is logged in') if random.randint(0, 1): print('User is logged in. Calling the original function.') func(handler) else: print('User is NOT logged in. Redirecting...') return wrapper class MyHandler(object): @only_registered_users def get(self): print('Get function called') m = MyHandler() m.get() ``` Output: ```Text Checking if user is logged in User is logged in. Calling the original function. Get function called ``` ## 在 Python 中将多个装饰器应用于单个函数 ```Python def multiplication(func): def wrapper(*args, **kwargs): num_sum = func(*args, **kwargs) print("Inside the multiplication function", num_sum) return num_sum * num_sum return wrapper def addition(func): def wrapper(*args, **kwargs): num_sum = func(*args, **kwargs) print("Inside the addition function", num_sum) return num_sum + num_sum return wrapper @addition @multiplication def calculation(a): print("Inside the calculation function", a) return a print("Sum =", calculation(5)) ``` Output: ```Text Inside the calculation function 5 Inside the multiplication function 5 Inside the addition function 25 Sum = 50 ``` ## Python 装饰器获取类实例 ```Python class MySerial(): def __init__(self): pass # I have to have an __init__ def write(self, *args): print(args[0]) pass # write to buffer def read(self): pass # read to buffer @staticmethod def decorator(func): def func_wrap(cls, *args, **kwargs): cls.ser.write(func(cls, *args, **kwargs)) return cls.ser.read() return func_wrap class App(): def __init__(self): self.ser = MySerial() @MySerial.decorator def myfunc(self): self = 100 return ['canada', 'australia'] App().myfunc() ``` Output: ```Text ['canada', 'australia'] ``` ## __init__ 和 __call__ 有什么区别 ```Python class Counter: def __init__(self): self._weights = [] for i in range(0, 2): self._weights.append(1) print(str(self._weights[-2]) + " No. from __init__") def __call__(self, t): self._weights = [self._weights[-1], self._weights[-1] + self._weights[-1]] print(str(self._weights[-1]) + " No. from __call__") num_count = Counter() for i in range(0, 4): num_count(i) ``` Output: ```Text 1 No. from __init__ 2 No. from __call__ 4 No. from __call__ 8 No. from __call__ 16 No. from __call__ ``` ## 在 Python 中使用 __new__ 和 __init__ ```Python class Shape: def __new__(cls, sides, *args, **kwargs): if sides == 3: return Triangle(*args, **kwargs) else: return Square(*args, **kwargs) class Triangle: def __init__(self, base, height): self.base = base self.height = height def area(self): return (self.base * self.height) / 2 class Square: def __init__(self, length): self.length = length def area(self): return self.length*self.length a = Shape(sides=3, base=2, height=12) b = Shape(sides=4, length=2) print(str(a.__class__)) print(a.area()) print(str(b.__class__)) print(b.area()) ``` Output: ```Text class '__main__.Triangle' 12.0 class '__main__.Square' 4 ``` ## Python 中的迭代重载方法 ```Python class Counter: def __init__(self, low, high): self.current = low self.high = high def __iter__(self): return self def __next__(self): if self.current > self.high: raise StopIteration else: self.current += 1 return self.current - 1 for num in Counter(5, 15): print(num) ``` Output: ```Text 5 6 .. .. 15 ``` ## 在 Python 中使用迭代器反转字符串 ```Python class Reverse: def __init__(self, data): self.data = data self.index = len(data) def __iter__(self): return self def __next__(self): if self.index == 0: raise StopIteration self.index = self.index - 1 return self.data[self.index] test = Reverse('Python') for char in test: print(char) ``` Output: ```Text n o h t y P ``` ## Python 中 __reversed__ 魔术方法 ```Python class Count: def __init__(self, start, end): self.start = start self.end = end self.current = None def __iter__(self): self.current = self.start while self.current < self.end: yield self.current self.current += 1 def __next__(self): if self.current is None: self.current = self.start if self.current > self.end: raise StopIteration else: self.current += 1 return self.current-1 def __reversed__(self): self.current = self.end while self.current >= self.start: yield self.current self.current -= 1 obj1 = Count(0, 5) for i in obj1: print(i) obj2 = reversed(obj1) for i in obj2: print(i) ``` Output: ```Text 0 1 2 .... 2 1 0 ``` ## Python 中的 __getitem__ 和 __setitem__ ```Python class Counter(object): def __init__(self, floors): self._floors = [None]*floors def __setitem__(self, floor_number, data): self._floors[floor_number] = data def __getitem__(self, floor_number): return self._floors[floor_number] index = Counter(4) index[0] = 'ABCD' index[1] = 'EFGH' index[2] = 'IJKL' index[3] = 'MNOP' print(index[2]) ``` Output: ```Text IJKL ``` ## 在 Python 中使用 __getattr__ 和 __setattr__ 进行属性赋值 ```Python class Employee(object): def __init__(self, data): super().__setattr__('data', dict()) self.data = data def __getattr__(self, name): if name in self.data: return self.data[name] else: return 0 def __setattr__(self, key, value): if key in self.data: self.data[key] = value else: super().__setattr__(key, value) emp = Employee({'age': 23, 'name': 'John'}) print(emp.age) print(emp.name) print(emp.data) print(emp.salary) emp.salary = 50000 print(emp.salary) ``` Output: ```Text 23 John {'age': 23, 'name': 'John'} 0 50000 ``` ## 什么是 __del__ 方法以及如何调用它 ```Python class Employee(): def __init__(self, name='John Doe'): print('Hello ' + name) self.name = name def developer(self): print(self.name) def __del__(self): print('Good Bye ' + self.name) emp = Employee('Mark') print(emp) emp = 'Rocky' print(emp) ``` Output: ```Text Hello Mark <__main__.Employee object at 0x00000000012498D0> Good Bye Mark Rocky ``` ## 创建类的私有成员 ```Python class Test(object): __private_var = 100 public_var = 200 def __private_func(self): print('Private Function') def public_func(self): print('Public Function') print(self.public_var) def call_private(self): self.__private_func() print(self.__private_var) t = Test() print(t.call_private()) print(t.public_func()) ``` Output: ```Text Private Function 100 None Public Function 200 None ``` ## 一个 Python 封装的例子 ```Python class Encapsulation: __name = None def __init__(self, name): self.__name = name def get_name(self): return self.__name pobj = Encapsulation('Rocky') print(pobj.get_name()) ``` Output: ```Text Rocky ``` ## 一个 Python 组合的例子 ```Python class Salary: def __init__(self, pay): self.pay = pay def get_total(self): return (self.pay*12) class Employee: def __init__(self, pay, bonus): self.pay = pay self.bonus = bonus self.obj_salary = Salary(self.pay) def annual_salary(self): return "Total: " + str(self.obj_salary.get_total() + self.bonus) obj_emp = Employee(600, 500) print(obj_emp.annual_salary()) ``` Output: ```Text Total: 7700 ``` ## 一个Python聚合的例子 ```Python class Salary: def __init__(self, pay): self.pay = pay def get_total(self): return (self.pay*12) class Employee: def __init__(self, pay, bonus): self.pay = pay self.bonus = bonus def annual_salary(self): return "Total: " + str(self.pay.get_total() + self.bonus) obj_sal = Salary(600) obj_emp = Employee(obj_sal, 500) print(obj_emp.annual_salary()) ``` Output: ```Text Total: 7700 ``` ## Python 中的单级、多级和多级继承 ```Python # Single inheritence class Apple: manufacturer = 'Apple Inc' contact_website = 'www.apple.com/contact' name = 'Apple' def contact_details(self): print('Contact us at ', self.contact_website) class MacBook(Apple): def __init__(self): self.year_of_manufacture = 2018 def manufacture_details(self): print('This MacBook was manufactured in {0}, by {1}.' .format(self.year_of_manufacture, self.manufacturer)) macbook = MacBook() macbook.manufacture_details() # Multiple inheritence class OperatingSystem: multitasking = True name = 'Mac OS' class MacTower(OperatingSystem, Apple): def __init__(self): if self.multitasking is True: print('Multitasking system') # if there are two superclasses with the sae attribute name # the attribute of the first inherited superclass will be called # the order of inhertence matters print('Name: {}'.format(self.name)) mactower = MacTower() # Multilevel inheritence class MusicalInstrument: num_of_major_keys = 12 class StringInstrument(MusicalInstrument): type_of_wood = 'Tonewood' class Guitar(StringInstrument): def __init__(self): self.num_of_strings = 6 print('The guitar consists of {0} strings,' + 'it is made of {1} and can play {2} keys.' .format(self.num_of_strings, self.type_of_wood, self.num_of_major_keys)) guitar = Guitar() ``` Output: ```Text This MacBook was manufactured in 2018, by Apple Inc. Multitasking system Name: Mac OS The guitar consists of 6 strings, it is made of Tonewood and can play 12 keys. ``` ## 在 Python 中获取一个类的父类 ```Python class A(object): pass class B(object): pass class C(A, B): pass print(C.__bases__) ``` Output: ```Text (< class '__main__.A' >, < class '__main__.B' >) ``` ## Python 中的多态性 ```Python # Creating a shape Class class Shape: width = 0 height = 0 # Creating area method def area(self): print("Parent class Area ... ") # Creating a Rectangle Class class Rectangle(Shape): def __init__(self, w, h): self.width = w self.height = h # Overridding area method def area(self): print("Area of the Rectangle is : ", self.width*self.height) # Creating a Triangle Class class Triangle(Shape): def __init__(self, w, h): self.width = w self.height = h # Overridding area method def area(self): print("Area of the Triangle is : ", (self.width*self.height)/2) rectangle = Rectangle(10, 20) triangle = Triangle(2, 10) rectangle.area() triangle.area() ``` Output: ```Text Area of the Rectangle is : 200 Area of the Triangle is : 10.0 ``` ## 访问 Child 类中的私有成员 ```Python class Human(): # Private var __privateVar = "this is __private variable" # Constructor method def __init__(self): self.className = "Human class constructor" self.__privateVar = "this is redefined __private variable" # Public method def showName(self, name): self.name = name return self.__privateVar + " " + name # Private method def __privateMethod(self): return "Private method" # Public method that returns a private variable def showPrivate(self): return self.__privateMethod() def showProtecded(self): return self._protectedMethod() class Male(Human): def showClassName(self): return "Male" def showPrivate(self): return self.__privateMethod() def showProtected(self): return self._protectedMethod() class Female(Human): def showClassName(self): return "Female" def showPrivate(self): return self.__privateMethod() human = Human() print(human.className) print(human.showName("Vasya")) print(human.showPrivate()) male = Male() print(male.className) print(male.showClassName()) female = Female() print(female.className) print(female.showClassName()) ``` Output: ```Text Human class constructor this is redefined __private variable Vasya Private method Human class constructor Male Human class constructor Female ``` ## Python 中的抽象类 ```Python from abc import ABC, abstractmethod class AbstractClass(ABC): def __init__(self, value): self.value = value super().__init__() @abstractmethod def eat(self): pass class Parents(AbstractClass): def eat(self): return "Eat solid food " + str(self.value) + " times each day." class Babies(AbstractClass): def eat(self): return "Milk only " + str(self.value) + " times or more each day." food = 3 adult = Parents(food) print('Adult') print(adult.eat()) infant = Babies(food) print('Infants') print(infant.eat()) ``` Output: ```Text Adult Eat solid food 3 times each day. Infants Milk only 3 times or more each day. ``` ## 创建一个抽象类来覆盖 Python 中的默认构造函数 ```Python from abc import ABCMeta, abstractmethod class AbstractClass(object, metaclass=ABCMeta): @abstractmethod def __init__(self, n): self.n = n class Employee(AbstractClass): def __init__(self, salary, name): self.salary = salary self.name = name emp1 = Employee(10000, "John Doe") print(emp1.salary) print(emp1.name) ``` Output: ```Text 10000 John Doe ``` ## 使一个抽象类继承另一个抽象类 ```Python from abc import ABC, abstractmethod class A(ABC): def __init__(self, username): self.username = username super().__init__() @abstractmethod def name(self): pass class B(A): @abstractmethod def age(self): pass class C(B): def name(self): print(self.username) def age(self): return c = C('Test1234') c.name() ``` Output: ```Text Test1234 ``` ## Python 中的 super 是做什么的 ```Python class A(object): def __init__(self, profession): print(profession) class B(A): def __init__(self): print('John Doe') super().__init__('Developer') b = B() ``` Output: ```Text John Doe Developer ``` ## super() 如何在多重继承中与 __init__() 方法一起工作 ```Python class F: def __init__(self): print('F%s' % super().__init__) super().__init__() class G: def __init__(self): print('G%s' % super().__init__) super().__init__() class H: def __init__(self): print('H%s' % super().__init__) super().__init__() class E(G, H): def __init__(self): print('E%s' % super().__init__) super().__init__() class D(E, F): def __init__(self): print('D%s' % super().__init__) super().__init__() class C(E, G): def __init__(self): print('C%s' % super().__init__) super().__init__() class B(C, H): def __init__(self): print('B%s' % super().__init__) super().__init__() class A(D, B, E): def __init__(self): print('A%s' % super().__init__) super().__init__() a = A() print(a) ``` Output: ```Text A bound method D.__init__ of __main__.A object at 0x000000000369CFD0 D bound method B.__init__ of __main__.A object at 0x000000000369CFD0 B bound method C.__init__ of __main__.A object at 0x000000000369CFD0 C bound method E.__init__ of __main__.A object at 0x000000000369CFD0 E bound method G.__init__ of __main__.A object at 0x000000000369CFD0 G bound method H.__init__ of __main__.A object at 0x000000000369CFD0 H bound method F.__init__ of __main__.A object at 0x000000000369CFD0 F method-wrapper '__init__' of A object at 0x000000000369CFD0 __main__.A object at 0x000000000369CFD0 ``` ## 将 super 与类方法一起使用 ```Python class A(object): @classmethod def name(self, employee): print('Employee Name: ', employee) class B(A): @classmethod def name(self, employee): super(B, self).name(employee) B.name('John Doe') ``` Output: ```Text Employee Name: John Doe ``` ## mro 是做什么的 ```Python class A(object): def dothis(self): print('From A class') class B1(A): def dothis(self): print('From B1 class') pass class B2(object): def dothis(self): print('From B2 class') pass class B3(A): def dothis(self): print('From B3 class') # Diamond inheritance class D1(B1, B3): pass class D2(B1, B2): pass d1_instance = D1() d1_instance.dothis() print(D1.__mro__) d2_instance = D2() d2_instance.dothis() print(D2.__mro__) ``` Output: ```Text From B1 class (class '__main__.D1', class '__main__.B1', ) From B1 class (class '__main__.D2', class '__main__.B1', , class '__main__.B2', class 'object') ``` ## Python 中的元类是什么 ```Python def _addMethod(fldName, clsName, verb, methodMaker, dict): compiledName = _getCompiledName(fldName, clsName) methodName = _getMethodName(fldName, verb) dict[methodName] = methodMaker(compiledName) def _getCompiledName(fldName, clsName): if fldName[:2] == "__" and fldName[-2:] != "__": return "_%s%s" % (clsName, fldName) else: return fldName def _getMethodName(fldName, verb): s = fldName.lstrip("_") return verb + s.capitalize() def _makeGetter(compiledName): return lambda self: self.__dict__[compiledName] def _makeSetter(compiledName): return lambda self, value: setattr(self, compiledName, value) class Accessors(type): def __new__(cls, clsName, bases, dict): for fldName in dict.get("_READ", []) + dict.get("_READ_WRITE", []): _addMethod(fldName, clsName, "get", _makeGetter, dict) for fldName in dict.get("_WRITE", []) + dict.get("_READ_WRITE", []): _addMethod(fldName, clsName, "set", _makeSetter, dict) return type.__new__(cls, clsName, bases, dict) class Employee(object, metaclass=Accessors): _READ_WRITE = ['name', 'salary', 'title', 'bonus'] def __init__(self, name, salary, title, bonus=0): self.name = name self.salary = salary self.title = title self.bonus = bonus b = Employee('John Doe', 25000, 'Developer', 5000) print('Name:', b.getName()) print('Salary:', b.getSalary()) print('Title:', b.getTitle()) print('Bonus:', b.getBonus()) ``` Output: ```Text Name: John Doe Salary: 25000 Title: Developer Bonus: 5000 ``` ## 元类的具体案例 ```Python class UpperAttrNameMetaClass(type): def __new__(cls, clsname, bases, attrdict, *args, **kwargs): print('1. Create a new type, from ' + ' UpperAttrNameMetaClass.__new__') new_attrs = dict() for attr, value in attrdict.items(): if not callable(value) and not str(attr).startswith('__'): new_attrs[attr.upper()] = value else: new_attrs[attr] = value cls_obj = super().__new__(cls, clsname, bases, new_attrs, *args, **kwargs) return cls_obj def __init__(self, clsname, bases, attrdict): self.test = 'test' super().__init__(clsname, bases, attrdict) print('2. Initialize new type, increase test attribute,' + 'from UpperAttrNameMetaClass.__init__') def __call__(self, *args, **kwargs): print('3. Instantiate the new class,' + ' from UpperAttrNameMetaClass.__call__') new_obj = self.__new__(self, *args, **kwargs) new_obj.__init__(*args, **kwargs) return new_obj class ObjectNoInitMetaClass(type): def __call__(cls, *args, **kwargs): if len(args): raise TypeError('Must use keyword argument ' + ' for key function') new_obj = cls.__new__(cls) for k, v in kwargs.items(): setattr(new_obj, k.upper(), v) return new_obj class Pig(object, metaclass=UpperAttrNameMetaClass): size = 'Big' def __new__(cls, *args, **kwargs): print('4. Call __new__ in the __call__ of the metaclass,' + ' from Pig.__new__') obj = object.__new__(cls) return obj def __init__(self): print('5. After the new object is instantiated in ' + 'the __call__ of the metaclass,the object is promoted,' + ' from Pig.__init__') self.name = 'Mark' def talk(self): print(self.name) Pig().talk() print(Pig.__dict__) print(Pig.SIZE) class AnyOne(metaclass=ObjectNoInitMetaClass): pass foo = AnyOne(name='John', age=28) print(foo.NAME, foo.AGE) print(foo.__dict__) ``` Output: ```Text 1. Create a new type, from UpperAttrNameMetaClass.__new__ 2. Initialize new type, increase test attribute,from UpperAttrNameMetaClass.__init__ 3. Instantiate the new class, from UpperAttrNameMetaClass.__call__ 4. Call __new__ in the __call__ of the metaclass, from Pig.__new__ 5. After the new object is instantiated in the __call__ of the metaclass,the object is promoted, from Pig.__init__ Mark {'__doc__': None, 'test': 'test', '__weakref__': , 'SIZE': 'Big', '__init__': , '__dict__': , '__module__': '__main__', '__new__': , 'talk': } Big John 28 {'AGE': 28, 'NAME': 'John'} ``` ## 在 Python 中使用元类的单例类 ```Python class SingleInstanceMetaClass(type): def __init__(self, name, bases, dic): self.__single_instance = None super().__init__(name, bases, dic) def __call__(cls, *args, **kwargs): if cls.__single_instance: return cls.__single_instance single_obj = cls.__new__(cls) single_obj.__init__(*args, **kwargs) cls.__single_instance = single_obj return single_obj class Setting(metaclass=SingleInstanceMetaClass): def __init__(self): self.db = 'MySQL' self.port = 3306 bar1 = Setting() bar2 = Setting() print(bar1 is bar2) print(bar1.db, bar1.port) bar1.db = 'ORACLE' print(bar2.db, bar2.port) ``` Output: ```Text True MySQL 3306 ORACLE 3306 ``` ## @staticmethod 和 @classmethod 有什么区别 ```Python class Employee: @classmethod def classmthd(*args): return args @staticmethod def staticmthd(*args): return args print(Employee.classmthd()) print(Employee.classmthd('test')) print(Employee.staticmthd()) print(Employee.staticmthd('test')) ``` Output: ```Text (class '__main__.Employee',) (class '__main__.Employee', 'test') () ('test',) ``` ## Python 中的装饰器是什么 ```Python def message(param1, param2): def wrapper(wrapped): class WrappedClass(wrapped): def __init__(self): self.param1 = param1 self.param2 = param2 super(WrappedClass, self).__init__() def get_message(self): return "message %s %s" % (self.param1, self.param2) return WrappedClass return wrapper @message("param1", "param2") class Pizza(object): def __init__(self): pass pizza_with_message = Pizza() print(pizza_with_message.get_message()) ``` Output: ```Text message param1 param2 ``` ## 制作函数装饰器链 ```Python def benchmark(func): """ A decorator that prints the time a function takes to execute. """ import time def wrapper(*args, **kwargs): t = time.clock() res = func(*args, **kwargs) print("{0} {1}".format(func.__name__, time.clock()-t)) return res return wrapper def logging(func): """ A decorator that logs the activity of the script. (it actually just prints it, but it could be logging!) """ def wrapper(*args, **kwargs): res = func(*args, **kwargs) print("{0} {1} {2}".format(func.__name__, args, kwargs)) return res return wrapper def counter(func): """ A decorator that counts and prints the number of times a function has been executed """ def wrapper(*args, **kwargs): wrapper.count = wrapper.count + 1 res = func(*args, **kwargs) print("{0} has been used: {1}x".format(func.__name__, wrapper.count)) return res wrapper.count = 0 return wrapper @counter @benchmark @logging def letter_range(start, stop, step=1): start = ord(start.lower()) stop = ord(stop.lower()) for str_lst in range(start, stop, step): yield chr(str_lst) print(list(letter_range("a", "f"))) print('\n') print(list(letter_range("m", "z", 2))) ``` Output: ```Text letter_range ('a', 'f') {} wrapper 0.0009437184107374183 wrapper has been used: 1x ['a', 'b', 'c', 'd', 'e'] letter_range ('m', 'z', 2) {} wrapper 3.131164480070134e-05 wrapper has been used: 2x ['m', 'o', 'q', 's', 'u', 'w', 'y'] ``` 本文由[mdnice](https://mdnice.com/?platform=6)多平台发布

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