Python中类的继承代码实例

代码如下:

#!/usr/bin/python
#filename: pyclass.py

class Member:
def __init__(self, name, age):
self.name = name
self.age = age
print 'Member init:%s' % self.name
def tell(self):
print 'Name:%s,Age:%d' % (self.name, self.age),

class Student(Member):
def __init__(self, name, age, marks):
Member.__init__(self, name, age)
self.marks = marks
print 'Student init:%s' % self.name
def tell(self):
Member.tell(self)
print 'Marks:%d' % self.marks

class Teacher(Member):
def __init__(self, name, age, salary):
Member.__init__(self, name, age)
self.salary = salary
print 'Teacher init:%s' % self.name
def tell(self):
Member.tell(self)
print 'Salary:%d' % self.salary

s = Student('Tom', 20, 80)
t = Teacher('Mrs.Huang', 30, 50000)

members = [s, t]
for mem in members:
mem.tell()

运行效果：

代码如下:

[root@localhost hhl]# python pyclass.py
Member init:Tom
Student init:Tom
Member init:Mrs.Huang
Teacher init:Mrs.Huang
Name:Tom,Age:20 Marks:80
Name:Mrs.Huang,Age:30 Salary:50000

我们同样编写同样效果的C++例子：

代码如下:

//filename: class.cpp
#include
#include
using namespace std;

class Member
{
public:
Member(char *n, int a);
void tell();
private:
char name[10];
int age;
};

Member::Member(char *n, int a)
{
memcpy(name, n, sizeof(name));
age = a;
cout<<"Member init:"< }

void Member::tell()
{
cout<<"Name:"<
class Student:public Member
{
public:
Student(char *n, int a, int m);
void tell_s();
private:
int marks;
};

Student::Student(char *n, int a, int m):Member(n, a)
{
marks = m;
cout<<"Student init:"< }

void Student::tell_s()
{
Member::tell();
cout<<"Marks:"< }

class Teacher:public Member
{
public:
Teacher(char *n, int a, int s);
void tell_t();
private:
int salary;
};

Teacher::Teacher(char *n, int a, int s):Member(n, a)
{
salary = s;
cout<<"Teacher init:"< }

void Teacher::tell_t()
{
Member::tell();
cout<<"Salary:"< }

int main(void)
{
Student s("Tom", 20, 80);
Teacher t("Mrs.Huang", 30, 50000);

s.tell_s();
t.tell_t();

return 0;
}

运行效果：

代码如下:

[root@localhost hhl]# ./class
Member init:Tom
Student init:Tom
Member init:Mrs.Huang
Teacher init:Mrs.Huang
Name:Tom,Age:20,Marks:80
Name:Mrs.Huang,Age:30,Salary:50000

这两者的运行效果是一样的，但是python更简洁些。。。