Certified Python Developer Learning Resources Class And Object Variables

Learning Resources

Class And Object Variables

We have already discussed the functionality part of classes and objects (i.e. methods), now let us learn about the data part. The data part, i.e. fields, are nothing but ordinary variables that are bound to the namespaces of the classes and objects. This means that these names are valid within the context of these classes and objects only. That's why they are called name spaces.

There are two types of fields - class variables and object variables which are classified depending on whether the class or the object owns the variables respectively.

Class variables are shared - they can be accessed by all instances of that class. There is only one copy of the class variable and when any one object makes a change to a class variable, that change will be seen by all the other instances.

Object variables are owned by each individual object/instance of the class. In this case, each object has its own copy of the field i.e. they are not shared and are not related in any way to the field by the same name in a different instance. An example will make this easy to understand:

# Filename: objvar.py
class Robot:
    '''Represents a robot, with a name.'''
    # A class variable, counting the number of robots
    population = 0
    def __init__(self, name):
        '''Initializes the data.'''
        self.name = name
        print('(Initializing {0})'.format(self.name))
        # When this person is created, the robot
        # adds to the population
        Robot.population += 1
    def __del__(self):
        '''I am dying.'''
        print('{0} is being destroyed!'.format(self.name))
        Robot.population -= 1
        if Robot.population == 0:
            print('{0} was the last one.'.format(self.name))
            print('There are still {0:d} robots working.'.format(Robot.population))
    def sayHi(self):
        '''Greeting by the robot.
        Yeah, they can do that.'''
        print('Greetings, my masters call me {0}.'.format(self.name))
    def howMany():
        '''Prints the current population.'''
        print('We have {0:d} robots.'.format(Robot.population))
    howMany = staticmethod(howMany)
droid1 = Robot('R2-D2')
droid2 = Robot('C-3PO')
print("\nRobots can do some work here.\n")
print("Robots have finished their work. So let's destroy them.")
del droid1
del droid2


   (Initializing R2-D2)
   Greetings, my masters call me R2-D2.
   We have 1 robots.
   (Initializing C-3PO)
   Greetings, my masters call me C-3PO.
   We have 2 robots.
   Robots can do some work here.
   Robots have finished their work. So let's destroy them.
   R2-D2 is being destroyed!
   There are still 1 robots working.
   C-3PO is being destroyed!
   C-3PO was the last one.
   We have 0 robots.

How It Works:

This is a long example but helps demonstrate the nature of class and object variables. Here, population belongs to the Robot class and hence is a class variable. The name variable belongs to the object (it is assigned using self) and hence is an object variable.

Thus, we refer to the population class variable as Robot.population and not as self.population. We refer to the object variable name using self.name notation in the methods of that object. Remember this simple difference between class and object variables. Also note that an object variable with the same name as a class variable will hide the class variable!

The howMany is actually a method that belongs to the class and not to the object. This means we can define it as either a classmethod or a staticmethod depending on whether we need to know which class we are part of. Since we don't need such information, we will go for staticmethod.

We could have also achieved the same using decorators:

    def howMany():
        '''Prints the current population.'''
        print('We have {0:d} robots.'.format(Robot.population))

Decorators can be imagined to be a shortcut to calling an explicit statement, as we have seen in this example.

Observe that the __init__ method is used to initialize the Robot instance with a name. In this method, we increase the population count by 1 since we have one more robot being added. Also observe that the values of self.name is specific to each object which indicates the nature of object variables.

Remember, that you must refer to the variables and methods of the same object using the self only. This is called an attribute reference.

In this program, we also see the use of docstrings for classes as well as methods. We can access the class docstring at runtime using Robot.__doc__ and the method docstring as Robot.sayHi.__doc__

Just like the __init__ method, there is another special method __del__ which is called when an object is going to die i.e. it is no longer being used and is being returned to the computer system for reusing that piece of memory. In this method, we simply decrease the Robot.population count by 1.

The __del__ method is run when the object is no longer in use and there is no guarantee when that method will be run. If you want to explicitly see it in action, we have to use the del statement which is what we have done here.

Note for C++/Java/C# Programmers - All class members (including the data members) are public and all the methods are virtual in Python.One exception: If you use data members with names using the double underscore prefix such as __privatevar, Python uses name-mangling to effectively make it a private variable. Thus, the convention followed is that any variable that is to be used only within the class or object should begin with an underscore and all other names are public and can be used by other classes/objects. Remember that this is only a convention and is not enforced by Python (except for the double underscore prefix).
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