I'm a Python newbie, trying to understand the philosophy/logic behind the inheritance methods. Questions ultimately regards why and when one has to use the __init__
method in a subclass. Example:
It seems a subclass inheriting from a superclass need not have its own constructor (__init__
) method. Below, a dog inherits the attributes (name, age) and methods (makenoise) of a mammal. You can even add a method (do_a_trick
) Everything works as it ``should", it seems.
However, if I wanted to add a new attribute in the subclass as I attempt to do in the Cats class, I get an error saying "self" is not defined. Yet I used "self" in the definition of the dog class. What's the nature of the difference?
It seems to define Cats as I wish I need to use __init__(self,name)
and super()__init__(name)
. Why the difference?
class Mammals(object):
def __init__(self,name):
self.name = name
print("I am a new-born "+ self.name)
self.age = 0
def makenoise(self):
print(self.name + " says Hello")
class Dogs(Mammals):
def do_a_trick(self):
print(self.name + " can roll over")
class Cats(Mammals):
self.furry = "True" #results in error `self' is not defined
mymammal = Mammals("zebra") #output "I am a new-born zebra"
mymammal.makenoise() #output "zebra says hello"
print(mymmmal.age) #output 0
mydog = Dogs("family pet") #output "I am a new-born family pet"
mydog.makenoise() #output "family pet says hello"
print(mydog.age) # output 0
mydog.do_a_trick() #output "family pet can roll over"
The __init__ method is the Python equivalent of the C++ constructor in an object-oriented approach. The __init__ function is called every time an object is created from a class. The __init__ method lets the class initialize the object's attributes and serves no other purpose. It is only used within classes.
Inheritance allows us to define a class that inherits all the methods and properties from another class. Parent class is the class being inherited from, also called base class.
Absolutely not. The typical pattern is that the child might have extra fields that need to be set that the parent does not have, but if you omit the __init__ method completely then it inherits it from the parent which is the correct behavior in your case.
Answer #5: Yes, you must call __init__ for each parent class. The same goes for functions, if you are overriding a function that exists in both parents.
Explicit is better than implicit.
However, you can do below:
class Dogs(Mammals):
def __init__(self):
#add new attribute
self.someattribute = 'value'
Mammals.__init__(self)
or
class Dogs(Mammals):
def __init__(self):
#add new attribute
self.someattribute = 'value'
super(Mammals, self).__init__()
if I wanted to add a new attribute in the subclass as I attempt to do in the Cats class, I get an error saying "self" is not defined. Yet I used "self" in the definition of the dog class.
In your superclass, Mammal, you have an __init__
function, which takes an argument that you've chosen* to call self
. This argument is in scope when you're in the body of the __init__
function - it's a local variable like any local variable, and it's not possible to refer to it after its containing function terminates.
The function defined on the Dog class, do_a_trick
, also takes an argument called self
, and it is also local to that function.
What makes these variables special is not their name (you could call them anything you wanted) but the fact that, as the first arguments to instance methods in python, they get a reference to the object on which they're called as their value. (Read that last sentence again a few times, it's the key to understanding this, and you probably won't get it the first time.)
Now, in Cat
, you have a line of code which is not in a function at all. Nothing is in scope at this point, including self
, which is why this fails. If you were to define a function in Cat
that took an argument called self
, it would be possible to refer to that argument. If that argument happened to be the first argument to an instance method on Cat
, then it would have the value of the instance of Cat
on which it had been called. Otherwise, it would have whatever got passed to it.
*you have chosen wisely!
Declarations at the top level of a Python class become class attributes. If you come from a C++ or Java background, this is similar to declaring a static member variable. You cannot assign instance attributes at that level.
The variable self
usually refers to a specific instance of a class, the one from which the method has been called. When a method call is made using the syntax inst.method()
, the first argument to the function is the object inst
on which the method was called. In your case, and usually by convention, that argument is named self
within the function body of methods. You can think of self
as only being a valid identifier within method bodies then. Your assignment self.furry = True
does not take place in a method, so self isn't defined there.
You have basically two options for achieving what you want. The first is to properly define furry
as an attribute of the cat class:
class Cat(Mammals):
furry = True
# Rest of Cat implementation ...
or you can set the value of an instance variable furry
in the cat constructor:
class Cat(Mammals):
def __init__(self):
super(Mammals, self).__init__(self)
self.furry = True
# Rest of Cat implementation ...
If you're getting into Python I highly recommend to read these two parts of the Python documentation:
Python classes
Python data model special methods (more advanced)
As pointed out in the other answers, the self
that you see in the other
functions is actually a parameter. By Python convention, the first parameter in
an instance method is always self
.
The class Cats
inherits the __init__
function from its base class,
Mammals
. You can override __init__
, and you can call or not call the base
class implementation.
In case the Cats
__init__
wants to call the base implementation, but doesn't want to care about the parameters, you can use Python variable arguments. This is shown in the following code.
Class declaration:
class Cats(Mammals):
def __init__(self, *args):
super().__init__(*args)
self.furry = "True"
See, for example, this Stack Overflow question for something about the star notation for variable numbers of arguments: Can a variable number of arguments be passed to a function?
Additional test code:
cat = Cats("cat")
print(vars(cat))
Output:
I am a new-born cat
{'name': 'cat', 'age': 0, 'furry': 'True'}
You can do something like in Chankey's answer by initiating all the variables in the constructor method ie __init__
However you can also do something like this
class Cats(Mammals):
furry = "True"
And then
cat = Cats("Tom")
cat.furry # Returns "True"
The reason you can't use self
outside the functions is because self
is used explicitly only for instances of the class. If you used it outside, it would lead to ambiguity. If my answer isn't clear please let me know in comments.
The __init__
method runs once on the creation of an instance of a class. So if you want to set an attribute on an instance when it's created, that's where you do it. self
is a special keyword that is passed as the first argument to every method, and it refers to the instance itself. __init__
is no different from other methods in this regard.
"What's the nature of the difference": you define the method Dog.do_a_trick
, and you receive self
as an argument to the method as usual. But in Cat
you've unintentionally (perhaps subconsciously!) attempted to work on the class scope -- this is how you'd set a class attribute whose value is identical for all cats:
class Cat(object):
sound = "meow"
It's different so you can have both options available. Sometimes (not all the time, but once in a while) a class attribute is a useful thing to have. All cats have the same sound. But much of the time you'll work with instance attributes -- different cats have different names; when you need that, use __init__
.
Suppose you have a class named Person
which has a method named get_name
defined as :
class Person():
def __init__(self, first_name, last_name):
self.first_name = first_name
self.last_name = last_name
def get_name(self):
return self.first_name + ' ' + self.last_name
And, you create an instance of Person
as p1
. Now when you call the function get_name()
with this instance, it will converts internally
Person.get_name(p1)
So, self is the instance itself.
Without self
you can write above code as :
class Person():
first_name = None
last_name = None
def get_name(personobject):
return personobject.first_name + ' ' + personobject.last_name
What I am trying to say is the name self
is a convention only.
And for inheritance, if you would like to have extra attributes in your subclass, you need to initiate your super class first and add your parameter as you wanted.
For example, if you want to create a subclass from Person
named Boy
with new attribute height
, the you can define it as:
class Boy(Person):
def __init__(self, first_name, last_name, height):
super(Person, self).__init__(first_name, last_name)
self.height = height
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