Python類的定義繼承調(diào)用比較方法技巧
一、類的約束
# _開頭: 私有變量; # __開問: 私有變量,不能被繼承; # __xxx__: 能被訪問,不能被繼承; class A: def __init__(self): self._internal = 0 # 私有變量不能被訪問 self.public = 1 # 可被訪問 def public_method(self): pass def _private_method(self): # 私有方法不能被訪問 pass class B: def __init__(self): self.__private = 0 # 這個(gè)屬性會在內(nèi)存中被重新命名為_B__private def __private_method(self): # 不能被訪問,不能被繼承 pass def __private_method__(self): # 能被訪問,不能被繼承 pass
二、類的定義
2.1、創(chuàng)建創(chuàng)建
class Dog:
a = "0"; #相當(dāng)于public static變量,全局的
"""__init__是一個(gè)默認(rèn)的方法,且self為默認(rèn)的,用self修飾的屬性為public類型的類變量"""
def __init__(self, name, age):
self.name = name
self.age = age
self.sex = "1";#設(shè)置屬性默認(rèn)值
def sit(self):
print(self.name + "is now sitting" + "and sex is " + self.sex + Dog.a)
@classmethod
def user_name(cls, name): #注意這種注解的用法
return cls()
dog = Dog("kk", 12);
dog.sit()2.1.1、類的導(dǎo)入
在python中分為文件、模塊、類,其中文件和模塊可劃等價(jià);所以導(dǎo)入有幾種方式,比如dog.py文件中定義了兩個(gè)Class,則在使用類中導(dǎo)入方法有以下幾種:
- from car import Dog;#導(dǎo)入一個(gè)模塊中的特定類,使用時(shí)則直接Car();
- import car;#導(dǎo)入一個(gè)模塊中的所有類,使用時(shí)則需要car.Car();
- from car import *;#不推薦,容易引起命名沖突問題
from collections import OrderedDict; #使用標(biāo)準(zhǔn)類庫 t = OrderedDict();
2.1.2、構(gòu)造器
class Date: # Primary constructor def __init__(self, year, month, day): self.year = year self.month = month self.day = day # Alternate constructor @classmethod def today(cls): t = time.localtime() #它接收一個(gè)class作為第一個(gè)參數(shù),它被用來創(chuàng)建并返回最終的實(shí)例, 這個(gè)cls==__init__ return cls(t.tm_year, t.tm_mon, t.tm_mday) a = Date(2020, 5, 10) # Primary b = Date.today() # Alternate
減少構(gòu)造函數(shù)的參數(shù)個(gè)數(shù):
class Structure1:
# Class variable that specifies expected fields
_field_list = []
def __init__(self, *args):
if len(args) != len(self._field_list):
raise TypeError(f'Expected {len(self._field_list)} arguments')
# Set the arguments
for name, value in zip(self._field_list, args):
setattr(self, name, value)
# Example class definitions
class Course(Structure1):
# 這行只是為了一個(gè)準(zhǔn)許入判斷,沒有太多實(shí)際意思,或是一個(gè)聲明
_field_list = ['course_name', 'total_class', 'score']
c = Course('python', 30, 0.3);關(guān)鍵字參數(shù)
class Structure2:
_field_list = []
def __init__(self, *args, **kwargs):
if len(args) > len(self._field_list):
raise TypeError(f'Expected {len(self._field_list)} arguments')
# Set all of the positional arguments
for name, value in zip(self._field_list, args):
setattr(self, name, value)
# Set the remaining keyword arguments
#是通過pop這種方式來檢查的,在長度范圍內(nèi)如果pop出錯(cuò)則拋異常
for name in self._field_list[len(args):]:
setattr(self, name, kwargs.pop(name))
# Check for any remaining unknown arguments
if kwargs:
raise TypeError(f"Invalid argument(s): {','.join(kwargs)}")
# Example use
class Course(Structure2):
_field_list = ['course_name', 'total_class', 'score']
course_1 = Course('python', 30, 0.3)
course_2 = Course('python', 30, score=0.3)
course_3 = Course('python', total_class=30, score=0.3)擴(kuò)展關(guān)鍵字參數(shù):
class Structure3:
# Class variable that specifies expected fields
_field_list = []
def __init__(self, *args, **kwargs):
if len(args) != len(self._field_list):
raise TypeError(f'Expected {len(self._field_list)} arguments')
# Set the arguments
for name, value in zip(self._field_list, args):
setattr(self, name, value)
# Set the additional arguments (if any)
extra_args = kwargs.keys() - self._field_list
for name in extra_args:
setattr(self, name, kwargs.pop(name))
if kwargs:
raise TypeError(f"Duplicate values for {','.join(kwargs)}")
# Example use
if __name__ == '__main__':
class Course(Structure3):
_field_list = ['course_name', 'total_class', 'score']
course_1 = Course('python', 30, 0.3)
course_2 = Course('python', 30, 0.3, date='8/5/2020')2.1.3、類屬性
要?jiǎng)?chuàng)建一個(gè)新的實(shí)例屬性,可以通過描述器的形式來定義它的功能,一個(gè)描述器就是一個(gè)實(shí)現(xiàn)了3個(gè)核心屬性訪問操作的類,分別對應(yīng)get\set\delete這三個(gè)特殊的方法。
# Descriptor attribute for an integer type-checked attribute
class Integer:
def __init__(self, name):
self.name = name
"""下面三個(gè)方法只是一個(gè)更嚴(yán)格的定義,可以不需要,要使用上面的描述器,需要把描述器放入到一個(gè)class中,這樣所有對描述器的訪問都會被get/set/delete所捕獲"""
def __get__(self, instance, cls):
if not instance:
return self
else:
return instance.__dict__[self.name]
def __set__(self, instance, value):
if not isinstance(value, int):
raise TypeError('Expected an int object')
instance.__dict__[self.name] = value
def __delete__(self, instance):
del instance.__dict__[self.name]示例1:
class Point:
"""實(shí)例變量,和下面的x,y不是一回事"""
x = Integer('x')
y = Integer('y')
def __init__(self, x, y):
self.x = x
self.y = y
print(Point.x.name) # x
point = Point(3, 5)
print(f'point x = {point.x}') #3
print(f'point y = {point.y}') #5
point.y = 6
print(f'after change,point y = {point.y}') #6三、類的繼承
ptyhon在實(shí)現(xiàn)繼承時(shí)會用一個(gè)叫MRO列表的算法實(shí)現(xiàn),它有三條規(guī)則:1、子類會先于父類;2、多個(gè)父類會根據(jù)它們在列表中的順序被檢查;3、如果對下一個(gè)類有兩個(gè)合法的選擇,則返回第一個(gè)合法的父類;
3.1、單繼承
class A: def __init__(self): self.x = 0 class B(A): def __init__(self): super().__init__() #這行需要注意,也可以不寫,但不寫時(shí)就不會調(diào)用父類的init方法 self.y = 1
3.2、多繼承
class Base:
def __init__(self):
print('call Base.__init__')
class A(Base):
def __init__(self):
Base.__init__(self)
print('call A.__init__')
class B(Base):
def __init__(self):
Base.__init__(self)
print('call B.__init__')
"""多繼承的實(shí)現(xiàn)"""
class C(A,B):
def __init__(self):
A.__init__(self)
B.__init__(self)
print('call C.__init__')
c = C()
# call Base.__init__
# call A.__init__
# call Base.__init__
# call B.__init__
# call C.__init__3.3、調(diào)用父類方法
class Proxy:
def __init__(self, obj):
self._obj = obj
def __getattr__(self, name):
return getattr(self._obj, name)
def __setattr__(self, name, value):
if name.startswith('_'):
"""調(diào)用父類方法"""
super().__setattr__(name, value)
else:
setattr(self._obj, name, value)
proxy = Proxy({})
proxy.__setattr__("_name", "hm")3.4、屬性擴(kuò)展
3.4.1、完全擴(kuò)展
# 父類
class Person:
def __init__(self, name):
self.name = name
# defined Getter function, auto to call the sign name.setter when it be build
@property
def name(self):
return self._name
# defined Setter function
@name.setter
def name(self, value):
if not isinstance(value, str):
raise TypeError('Expected a string')
self._name = value
# defined Deleter function
@name.deleter
def name(self):
raise AttributeError("Can't delete attribute")
"""子類"""
class SubPerson(Person):
@property
def name(self):
print('Getting name')
return super().name
@name.setter
def name(self, value):
print(f'Setting name to {value}')
super(SubPerson, SubPerson).name.__set__(self, value)
@name.deleter
def name(self):
print('Deleting name')
super(SubPerson, SubPerson).name.__delete__(self)
"""測試"""
sub_person = SubPerson('Guido')
print(f'name is: {sub_person.name}')3.4.2、單獨(dú)擴(kuò)展
class SubPerson(Person):
@Person.name.getter
def name(self):
print('Getting name')
return super().name # or super(SubPerson, SubPerson).name.__set__(self, value)
sub_p = SubPerson('Bill')#不能用property的原因是,property其實(shí)是get、set、del函數(shù)的集合,各有各的用處。下面才是正確的擴(kuò)展方式,所以下面的代碼是不工作的
class SubPerson(Person):
@property # Doesn't work
def name(self):
print('Getting name')
return super().name
#如果要用property屬性則要用下面的編碼實(shí)現(xiàn)
class SubPerson(Person):
@property
def name(self):
print('Getting name')
return super().name
@name.setter
def name(self, value):
print(f'Setting name to {value}')
super(SubPerson, SubPerson).name.__set__(self, value)
@name.deleter
def name(self):
print('Deleting name')
super(SubPerson, SubPerson).name.__delete__(self)四、類的調(diào)用
import time class Date: # Primary constructor def __init__(self, year, month, day): self.year = year self.month = month self.day = day # Alternate constructor @classmethod def today(cls): t = time.localtime() #它接收一個(gè)class作為第一個(gè)參數(shù),它被用來創(chuàng)建并返回最終的實(shí)例, 這個(gè)cls==__init__ return cls(t.tm_year, t.tm_mon, t.tm_mday)
"""普通調(diào)用""" c = Date(2010, 12, 12) """類方法在繼承中使用""" class NewDate(Date): pass c = Date.today() # Creates an instance of Date (cls=Date) d = NewDate.today() # Creates an instance of NewDate (cls=NewDate)
五、抽象類
from abc import ABCMeta, abstractmethod
class IStream(metaclass=ABCMeta):
@abstractmethod
def read(self, max_bytes=-1):
pass
@abstractmethod
def write(self, data):
pass
"""不能被實(shí)例化"""
#a = IStream()
class SocketStream(IStream):
def read(self, max_bytes=-1):
pass
def write(self, data):
pass
"""檢查"""
def serialize(obj, stream):
if not isinstance(stream, IStream):
raise TypeError('Expected an IStream')
pass5.1、強(qiáng)制類型檢查
from abc import ABCMeta, abstractmethod
class IStream(metaclass=ABCMeta):
@abstractmethod
def read(self, max_bytes=-1):
pass
@abstractmethod
def write(self, data):
pass
import io
# Register the built-in I/O classes as supporting our interface
IStream.register(io.IOBase)
# Open a normal file and type check
f = None #open('test.txt')
print(f'f object is IStream type: {isinstance(f, IStream)}')
#f object is IStream type: False六、類的比較
from functools import total_ordering
class Room:
def __init__(self, name, length, width):
self.name = name
self.length = length
self.width = width
self.square_feet = self.length * self.width
@total_ordering
class House:
def __init__(self, name, style):
self.name = name
self.style = style
self.rooms = list()
@property
def living_space_footage(self):
return sum(r.square_feet for r in self.rooms)
def add_room(self, room):
self.rooms.append(room)
def __str__(self):
return f'{self.name}: {self.living_space_footage} square foot {self.style}'
def __eq__(self, other):
return self.living_space_footage == other.living_space_footage
def __lt__(self, other):
return self.living_space_footage < other.living_space_footage
# Build a few houses, and add rooms to them
h1 = House('h1', 'Cape')
h1.add_room(Room('Master Bedroom', 14, 21))
h1.add_room(Room('Living Room', 18, 20))
h1.add_room(Room('Kitchen', 12, 16))
h1.add_room(Room('Office', 12, 12))
h2 = House('h2', 'Ranch')
h2.add_room(Room('Master Bedroom', 14, 21))
h2.add_room(Room('Living Room', 18, 20))
h2.add_room(Room('Kitchen', 12, 16))
h3 = House('h3', 'Split')
h3.add_room(Room('Master Bedroom', 14, 21))
h3.add_room(Room('Living Room', 18, 20))
h3.add_room(Room('Office', 12, 16))
h3.add_room(Room('Kitchen', 15, 17))
houses = [h1, h2, h3]
print(f'Is {h1} bigger than {h2}: {h1 > h2}')
print(f'Is {h2} smaller than {h3}: {h2 < h3}')
print(f'Is {h2} greater than or equal to {h1}: {h2 >= h1}')
print(f'Which one is biggest in houses: {max(houses)}')
print(f'Which is smallest in houses: {min(houses)}')
""""""
# Is h1: 990 square foot Cape bigger than h2: 846 square foot Ranch: True
# Is h2: 846 square foot Ranch smaller than h3: 1101 square foot Split: True
# Is h2: 846 square foot Ranch greater than or equal to h1: 990 square foot Cape: False
# Which one is biggest in houses: h3: 1101 square foot Split
# Which is smallest in houses: h2: 846 square foot Ranch
# """"""
class House:
def __eq__(self, other):
pass
def __lt__(self, other):
pass
# Methods created by @total_ordering
__le__ = lambda self, other: self < other or self == other
__gt__ = lambda self, other: not (self < other or self == other)
__ge__ = lambda self, other: not (self < other)
__ne__ = lambda self, other: not self == other到此這篇關(guān)于Python類的定義繼承調(diào)用比較方法技巧的文章就介紹到這了,更多相關(guān)Python類的定義內(nèi)容請搜索腳本之家以前的文章或繼續(xù)瀏覽下面的相關(guān)文章希望大家以后多多支持腳本之家!
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- python調(diào)用函數(shù)、類和文件操作簡單實(shí)例總結(jié)
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