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What __init__ and self do on Python?


Question

I'm learning the Python programming language and I've came across something I don't fully understand.

In a method like:

def method(self, blah):
    def __init__(?):
        ....
    ....

What does self do? What is it meant to be? Is it mandatory?

What does the __init__ method do? Why is it necessary? (etc.)

I think they might be OOP constructs, but I don't know very much.

2019/06/11
1
819
6/11/2019 9:28:28 PM


Yep, you are right, these are oop constructs.

__init__ is the constructor for a class. The self parameter refers to the instance of the object (like this in C++).

class Point:
    def __init__(self, x, y):
        self._x = x
        self._y = y

The __init__ method gets called when memory for the object is allocated:

x = Point(1,2)

It is important to use the self parameter inside an object's method if you want to persist the value with the object. If, for instance, you implement the __init__ method like this:

class Point:
    def __init__(self, x, y):
        _x = x
        _y = y

Your x and y parameters would be stored in variables on the stack and would be discarded when the init method goes out of scope. Setting those variables as self._x and self._y sets those variables as members of the Point object (accessible for the lifetime of the object).

2016/11/10

A brief illustrative example

In the hope it might help a little, here's a simple example I used to understand the difference between a variable declared inside a class, and a variable declared inside an __init__ function:

class MyClass(object):
    i = 123
    def __init__(self):
        self.i = 345
     
a = MyClass()
print(a.i)
print(MyClass.i)

Output:

345
123
2020/06/20

In short:

  1. self as it suggests, refers to itself- the object which has called the method. That is, if you have N objects calling the method, then self.a will refer to a separate instance of the variable for each of the N objects. Imagine N copies of the variable a for each object
  2. __init__ is what is called as a constructor in other OOP languages such as C++/Java. The basic idea is that it is a special method which is automatically called when an object of that Class is created
2016/10/09

__init__ does act like a constructor. You'll need to pass "self" to any class functions as the first argument if you want them to behave as non-static methods. "self" are instance variables for your class.

2009/03/09

Class objects support two kinds of operations: attribute references and instantiation

Attribute references use the standard syntax used for all attribute references in Python: obj.name. Valid attribute names are all the names that were in the class’s namespace when the class object was created. So, if the class definition looked like this:

class MyClass:
    """A simple example class"""
    i = 12345

    def f(self):
        return 'hello world'

then MyClass.i and MyClass.f are valid attribute references, returning an integer and a function object, respectively. Class attributes can also be assigned to, so you can change the value of MyClass.i by assignment. __doc__ is also a valid attribute, returning the docstring belonging to the class: "A simple example class".

Class instantiation uses function notation. Just pretend that the class object is a parameterless function that returns a new instance of the class. For example:

x = MyClass()

The instantiation operation (“calling” a class object) creates an empty object. Many classes like to create objects with instances customized to a specific initial state. Therefore a class may define a special method named __init__(), like this:

def __init__(self):
    self.data = []

When a class defines an __init__() method, class instantiation automatically invokes __init__() for the newly-created class instance. So in this example, a new, initialized instance can be obtained by:

x = MyClass()

Of course, the __init__() method may have arguments for greater flexibility. In that case, arguments given to the class instantiation operator are passed on to __init__(). For example,

class Complex:
    def __init__(self, realpart, imagpart):
        self.r = realpart
        self.i = imagpart

x = Complex(3.0, -4.5)
x.r, x.i

Taken from official documentation which helped me the most in the end.


Here is my example

class Bill():
    def __init__(self,apples,figs,dates):
        self.apples = apples
        self.figs = figs
        self.dates = dates
        self.bill = apples + figs + dates
        print ("Buy",self.apples,"apples", self.figs,"figs 
                and",self.dates,"dates. 
                Total fruitty bill is",self.bill," pieces of fruit :)")

When you create instance of class Bill:

purchase = Bill(5,6,7)

You get:

> Buy 5 apples 6 figs and 7 dates. Total fruitty bill is 18  pieces of
> fruit :)
2018/05/01

Source: https://stackoverflow.com/questions/625083
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