How to call internal functions inside the constructor class? - python

Hello i have this code
class Test(object):
def start_conn(self):
pass
def __init__(self):
self.conn = start_conn()
But this code make this error:
NameError: global name 'start_conn' is not defined
If i write self.conn = self.start_conn() the program works without error, my question is, is a must to call with self the methods of the class when i'm creating a new instance? or is a desgin error from my side?
Thanks a lot

In short, it's a must. You have to refer to the container in which the methods are stored. Most of the time that means referring to self.
The way this works is as follows. When you define a (new-style) class
class FooClass(object):
def my_method(self, arg):
print self.my_method, arg
you create a type object that contains the method in its unbound state. You can then refer to that unbound method via the name of the class (i.e. via FooClass.my_method); but to use the method, you have to explicitly pass a FooClass object via the self parameter (as in FooClass.my_method(fooclass_instance, arg)).
Then, when you instantiate your class (f = FooClass()), the methods of FooClass are bound to the particular instance f. self in each of the methods then refers to that instance (f); this is automatic, so you no longer have to pass f into the method explicitly. But you could still do FooClass.my_method(f, arg); that would be equivalent to f.my_method(arg).
Note, however, that in both cases, self is the container through which the other methods of the class are passed to my_method, which doesn't have access to them through any other avenue.

Related

AttributeError: type object 'Vehicle' has no attribute 'rect' [duplicate]

This question already has answers here:
What is the purpose of the `self` parameter? Why is it needed?
(26 answers)
Why do we use __init__ in Python classes?
(9 answers)
Closed 6 months ago.
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.
In this code:
class A(object):
def __init__(self):
self.x = 'Hello'
def method_a(self, foo):
print self.x + ' ' + foo
... the self variable represents the instance of the object itself. Most object-oriented languages pass this as a hidden parameter to the methods defined on an object; Python does not. You have to declare it explicitly. When you create an instance of the A class and call its methods, it will be passed automatically, as in ...
a = A() # We do not pass any argument to the __init__ method
a.method_a('Sailor!') # We only pass a single argument
The __init__ method is roughly what represents a constructor in Python. When you call A() Python creates an object for you, and passes it as the first parameter to the __init__ method. Any additional parameters (e.g., A(24, 'Hello')) will also get passed as arguments--in this case causing an exception to be raised, since the constructor isn't expecting them.
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 after 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).
N.B. Some clarification of the use of the word "constructor" in this answer. Technically the responsibilities of a "constructor" are split over two methods in Python. Those methods are __new__ (responsible for allocating memory) and __init__ (as discussed here, responsible for initialising the newly created instance).
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
In short:
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
__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
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 :)
__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.
Try out this code. Hope it helps many C programmers like me to Learn Py.
#! /usr/bin/python2
class Person:
'''Doc - Inside Class '''
def __init__(self, name):
'''Doc - __init__ Constructor'''
self.n_name = name
def show(self, n1, n2):
'''Doc - Inside Show'''
print self.n_name
print 'Sum = ', (n1 + n2)
def __del__(self):
print 'Destructor Deleting object - ', self.n_name
p=Person('Jay')
p.show(2, 3)
print p.__doc__
print p.__init__.__doc__
print p.show.__doc__
Output:
Jay
Sum = 5
Doc - Inside Class
Doc - __init__ Constructor
Doc - Inside Show
Destructor Deleting object - Jay
Had trouble undestanding this myself. Even after reading the answers here.
To properly understand the __init__ method you need to understand self.
The self Parameter
The arguments accepted by the __init__ method are :
def __init__(self, arg1, arg2):
But we only actually pass it two arguments :
instance = OurClass('arg1', 'arg2')
Where has the extra argument come from ?
When we access attributes of an object we do it by name (or by reference). Here instance is a reference to our new object. We access the printargs method of the instance object using instance.printargs.
In order to access object attributes from within the __init__ method we need a reference to the object.
Whenever a method is called, a reference to the main object is passed as the first argument. By convention you always call this first argument to your methods self.
This means in the __init__ method we can do :
self.arg1 = arg1
self.arg2 = arg2
Here we are setting attributes on the object. You can verify this by doing the following :
instance = OurClass('arg1', 'arg2')
print instance.arg1
arg1
values like this are known as object attributes. Here the __init__ method sets the arg1 and arg2 attributes of the instance.
source: http://www.voidspace.org.uk/python/articles/OOP.shtml#the-init-method
note that self could actually be any valid python identifier. For example, we could just as easily write, from Chris B's example:
class A(object):
def __init__(foo):
foo.x = 'Hello'
def method_a(bar, foo):
print bar.x + ' ' + foo
and it would work exactly the same. It is however recommended to use self because other pythoners will recognize it more easily.
What does self do? What is it meant to be? Is it mandatory?
The first argument of every class method, including init, is always a reference to the current instance of the class. By convention, this argument is always named self. In the init method, self refers to the newly created object; in other class methods, it refers to the instance whose method was called.
Python doesn't force you on using "self". You can give it any name you want. But remember the first argument in a method definition is a reference to the object. Python adds the self argument to the list for you; you do not need to include it when you call the methods.
if you didn't provide self in init method then you will get an error
TypeError: __init___() takes no arguments (1 given)
What does the init method do? Why is it necessary? (etc.)
init is short for initialization. It is a constructor which gets called when you make an instance of the class and it is not necessary. But usually it our practice to write init method for setting default state of the object. If you are not willing to set any state of the object initially then you don't need to write this method.
__init__ is basically a function which will "initialize"/"activate" the properties of the class for a specific object, once created and matched to the corresponding class..
self represents that object which will inherit those properties.
Basically, you need to use the 'self' keyword when using a variable in multiple functions within the same class. As for init, it's used to setup default values incase no other functions from within that class are called.
The 'self' is a reference to the class instance
class foo:
def bar(self):
print "hi"
Now we can create an instance of foo and call the method on it, the self parameter is added by Python in this case:
f = foo()
f.bar()
But it can be passed in as well if the method call isn't in the context of an instance of the class, the code below does the same thing
f = foo()
foo.bar(f)
Interestingly the variable name 'self' is just a convention. The below definition will work exactly the same.. Having said that it is very strong convention which should be followed always, but it does say something about flexible nature of the language
class foo:
def bar(s):
print "hi"
Just a demo for the question.
class MyClass:
def __init__(self):
print('__init__ is the constructor for a class')
def __del__(self):
print('__del__ is the destructor for a class')
def __enter__(self):
print('__enter__ is for context manager')
return self
def __exit__(self, exc_type, exc_value, traceback):
print('__exit__ is for context manager')
def greeting(self):
print('hello python')
if __name__ == '__main__':
with MyClass() as mycls:
mycls.greeting()
$ python3 class.objects_instantiation.py
__init__ is the constructor for a class
__enter__ is for context manager
hello python
__exit__ is for context manager
__del__ is the destructor for a class
In this code:
class Cat:
def __init__(self, name):
self.name = name
def info(self):
print 'I am a cat and I am called', self.name
Here __init__ acts as a constructor for the class and when an object is instantiated, this function is called. self represents the instantiating object.
c = Cat('Kitty')
c.info()
The result of the above statements will be as follows:
I am a cat and I am called Kitty
# Source: Class and Instance Variables
# https://docs.python.org/2/tutorial/classes.html#class-and-instance-variables
class MyClass(object):
# class variable
my_CLS_var = 10
# sets "init'ial" state to objects/instances, use self argument
def __init__(self):
# self usage => instance variable (per object)
self.my_OBJ_var = 15
# also possible, class name is used => init class variable
MyClass.my_CLS_var = 20
def run_example_func():
# PRINTS 10 (class variable)
print MyClass.my_CLS_var
# executes __init__ for obj1 instance
# NOTE: __init__ changes class variable above
obj1 = MyClass()
# PRINTS 15 (instance variable)
print obj1.my_OBJ_var
# PRINTS 20 (class variable, changed value)
print MyClass.my_CLS_var
run_example_func()
Here, the guy has written pretty well and simple: https://www.jeffknupp.com/blog/2014/06/18/improve-your-python-python-classes-and-object-oriented-programming/
Read above link as a reference to this:
self? So what's with that self parameter to all of the Customer
methods? What is it? Why, it's the instance, of course! Put another
way, a method like withdraw defines the instructions for withdrawing
money from some abstract customer's account. Calling
jeff.withdraw(100.0) puts those instructions to use on the jeff
instance.
So when we say def withdraw(self, amount):, we're saying, "here's how
you withdraw money from a Customer object (which we'll call self) and
a dollar figure (which we'll call amount). self is the instance of the
Customer that withdraw is being called on. That's not me making
analogies, either. jeff.withdraw(100.0) is just shorthand for
Customer.withdraw(jeff, 100.0), which is perfectly valid (if not often
seen) code.
init self may make sense for other methods, but what about init? When we call init, we're in the process of creating an object, so how can there already be a self? Python allows us to extend
the self pattern to when objects are constructed as well, even though
it doesn't exactly fit. Just imagine that jeff = Customer('Jeff
Knupp', 1000.0) is the same as calling jeff = Customer(jeff, 'Jeff
Knupp', 1000.0); the jeff that's passed in is also made the result.
This is why when we call init, we initialize objects by saying
things like self.name = name. Remember, since self is the instance,
this is equivalent to saying jeff.name = name, which is the same as
jeff.name = 'Jeff Knupp. Similarly, self.balance = balance is the same
as jeff.balance = 1000.0. After these two lines, we consider the
Customer object "initialized" and ready for use.
Be careful what you __init__
After init has finished, the caller can rightly assume that the
object is ready to use. That is, after jeff = Customer('Jeff Knupp',
1000.0), we can start making deposit and withdraw calls on jeff; jeff is a fully-initialized object.
Python __init__ and self what do they do?
What does self do? What is it meant to be? Is it mandatory?
What does the __init__ method do? Why is it necessary? (etc.)
The example given is not correct, so let me create a correct example based on it:
class SomeObject(object):
def __init__(self, blah):
self.blah = blah
def method(self):
return self.blah
When we create an instance of the object, the __init__ is called to customize the object after it has been created. That is, when we call SomeObject with 'blah' below (which could be anything), it gets passed to the __init__ function as the argument, blah:
an_object = SomeObject('blah')
The self argument is the instance of SomeObject that will be assigned to an_object.
Later, we might want to call a method on this object:
an_object.method()
Doing the dotted lookup, that is, an_object.method, binds the instance to an instance of the function, and the method (as called above) is now a "bound" method - which means we do not need to explicitly pass the instance to the method call.
The method call gets the instance because it was bound on the dotted lookup, and when called, then executes whatever code it was programmed to perform.
The implicitly passed self argument is called self by convention. We could use any other legal Python name, but you will likely get tarred and feathered by other Python programmers if you change it to something else.
__init__ is a special method, documented in the Python datamodel documentation. It is called immediately after the instance is created (usually via __new__ - although __new__ is not required unless you are subclassing an immutable datatype).

Python/Console returning 'self' is not defined [duplicate]

This question already has answers here:
What is the purpose of the `self` parameter? Why is it needed?
(26 answers)
Why do we use __init__ in Python classes?
(9 answers)
Closed 6 months ago.
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.
In this code:
class A(object):
def __init__(self):
self.x = 'Hello'
def method_a(self, foo):
print self.x + ' ' + foo
... the self variable represents the instance of the object itself. Most object-oriented languages pass this as a hidden parameter to the methods defined on an object; Python does not. You have to declare it explicitly. When you create an instance of the A class and call its methods, it will be passed automatically, as in ...
a = A() # We do not pass any argument to the __init__ method
a.method_a('Sailor!') # We only pass a single argument
The __init__ method is roughly what represents a constructor in Python. When you call A() Python creates an object for you, and passes it as the first parameter to the __init__ method. Any additional parameters (e.g., A(24, 'Hello')) will also get passed as arguments--in this case causing an exception to be raised, since the constructor isn't expecting them.
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 after 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).
N.B. Some clarification of the use of the word "constructor" in this answer. Technically the responsibilities of a "constructor" are split over two methods in Python. Those methods are __new__ (responsible for allocating memory) and __init__ (as discussed here, responsible for initialising the newly created instance).
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
In short:
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
__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
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 :)
__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.
Try out this code. Hope it helps many C programmers like me to Learn Py.
#! /usr/bin/python2
class Person:
'''Doc - Inside Class '''
def __init__(self, name):
'''Doc - __init__ Constructor'''
self.n_name = name
def show(self, n1, n2):
'''Doc - Inside Show'''
print self.n_name
print 'Sum = ', (n1 + n2)
def __del__(self):
print 'Destructor Deleting object - ', self.n_name
p=Person('Jay')
p.show(2, 3)
print p.__doc__
print p.__init__.__doc__
print p.show.__doc__
Output:
Jay
Sum = 5
Doc - Inside Class
Doc - __init__ Constructor
Doc - Inside Show
Destructor Deleting object - Jay
Had trouble undestanding this myself. Even after reading the answers here.
To properly understand the __init__ method you need to understand self.
The self Parameter
The arguments accepted by the __init__ method are :
def __init__(self, arg1, arg2):
But we only actually pass it two arguments :
instance = OurClass('arg1', 'arg2')
Where has the extra argument come from ?
When we access attributes of an object we do it by name (or by reference). Here instance is a reference to our new object. We access the printargs method of the instance object using instance.printargs.
In order to access object attributes from within the __init__ method we need a reference to the object.
Whenever a method is called, a reference to the main object is passed as the first argument. By convention you always call this first argument to your methods self.
This means in the __init__ method we can do :
self.arg1 = arg1
self.arg2 = arg2
Here we are setting attributes on the object. You can verify this by doing the following :
instance = OurClass('arg1', 'arg2')
print instance.arg1
arg1
values like this are known as object attributes. Here the __init__ method sets the arg1 and arg2 attributes of the instance.
source: http://www.voidspace.org.uk/python/articles/OOP.shtml#the-init-method
note that self could actually be any valid python identifier. For example, we could just as easily write, from Chris B's example:
class A(object):
def __init__(foo):
foo.x = 'Hello'
def method_a(bar, foo):
print bar.x + ' ' + foo
and it would work exactly the same. It is however recommended to use self because other pythoners will recognize it more easily.
What does self do? What is it meant to be? Is it mandatory?
The first argument of every class method, including init, is always a reference to the current instance of the class. By convention, this argument is always named self. In the init method, self refers to the newly created object; in other class methods, it refers to the instance whose method was called.
Python doesn't force you on using "self". You can give it any name you want. But remember the first argument in a method definition is a reference to the object. Python adds the self argument to the list for you; you do not need to include it when you call the methods.
if you didn't provide self in init method then you will get an error
TypeError: __init___() takes no arguments (1 given)
What does the init method do? Why is it necessary? (etc.)
init is short for initialization. It is a constructor which gets called when you make an instance of the class and it is not necessary. But usually it our practice to write init method for setting default state of the object. If you are not willing to set any state of the object initially then you don't need to write this method.
__init__ is basically a function which will "initialize"/"activate" the properties of the class for a specific object, once created and matched to the corresponding class..
self represents that object which will inherit those properties.
Basically, you need to use the 'self' keyword when using a variable in multiple functions within the same class. As for init, it's used to setup default values incase no other functions from within that class are called.
The 'self' is a reference to the class instance
class foo:
def bar(self):
print "hi"
Now we can create an instance of foo and call the method on it, the self parameter is added by Python in this case:
f = foo()
f.bar()
But it can be passed in as well if the method call isn't in the context of an instance of the class, the code below does the same thing
f = foo()
foo.bar(f)
Interestingly the variable name 'self' is just a convention. The below definition will work exactly the same.. Having said that it is very strong convention which should be followed always, but it does say something about flexible nature of the language
class foo:
def bar(s):
print "hi"
Just a demo for the question.
class MyClass:
def __init__(self):
print('__init__ is the constructor for a class')
def __del__(self):
print('__del__ is the destructor for a class')
def __enter__(self):
print('__enter__ is for context manager')
return self
def __exit__(self, exc_type, exc_value, traceback):
print('__exit__ is for context manager')
def greeting(self):
print('hello python')
if __name__ == '__main__':
with MyClass() as mycls:
mycls.greeting()
$ python3 class.objects_instantiation.py
__init__ is the constructor for a class
__enter__ is for context manager
hello python
__exit__ is for context manager
__del__ is the destructor for a class
In this code:
class Cat:
def __init__(self, name):
self.name = name
def info(self):
print 'I am a cat and I am called', self.name
Here __init__ acts as a constructor for the class and when an object is instantiated, this function is called. self represents the instantiating object.
c = Cat('Kitty')
c.info()
The result of the above statements will be as follows:
I am a cat and I am called Kitty
# Source: Class and Instance Variables
# https://docs.python.org/2/tutorial/classes.html#class-and-instance-variables
class MyClass(object):
# class variable
my_CLS_var = 10
# sets "init'ial" state to objects/instances, use self argument
def __init__(self):
# self usage => instance variable (per object)
self.my_OBJ_var = 15
# also possible, class name is used => init class variable
MyClass.my_CLS_var = 20
def run_example_func():
# PRINTS 10 (class variable)
print MyClass.my_CLS_var
# executes __init__ for obj1 instance
# NOTE: __init__ changes class variable above
obj1 = MyClass()
# PRINTS 15 (instance variable)
print obj1.my_OBJ_var
# PRINTS 20 (class variable, changed value)
print MyClass.my_CLS_var
run_example_func()
Here, the guy has written pretty well and simple: https://www.jeffknupp.com/blog/2014/06/18/improve-your-python-python-classes-and-object-oriented-programming/
Read above link as a reference to this:
self? So what's with that self parameter to all of the Customer
methods? What is it? Why, it's the instance, of course! Put another
way, a method like withdraw defines the instructions for withdrawing
money from some abstract customer's account. Calling
jeff.withdraw(100.0) puts those instructions to use on the jeff
instance.
So when we say def withdraw(self, amount):, we're saying, "here's how
you withdraw money from a Customer object (which we'll call self) and
a dollar figure (which we'll call amount). self is the instance of the
Customer that withdraw is being called on. That's not me making
analogies, either. jeff.withdraw(100.0) is just shorthand for
Customer.withdraw(jeff, 100.0), which is perfectly valid (if not often
seen) code.
init self may make sense for other methods, but what about init? When we call init, we're in the process of creating an object, so how can there already be a self? Python allows us to extend
the self pattern to when objects are constructed as well, even though
it doesn't exactly fit. Just imagine that jeff = Customer('Jeff
Knupp', 1000.0) is the same as calling jeff = Customer(jeff, 'Jeff
Knupp', 1000.0); the jeff that's passed in is also made the result.
This is why when we call init, we initialize objects by saying
things like self.name = name. Remember, since self is the instance,
this is equivalent to saying jeff.name = name, which is the same as
jeff.name = 'Jeff Knupp. Similarly, self.balance = balance is the same
as jeff.balance = 1000.0. After these two lines, we consider the
Customer object "initialized" and ready for use.
Be careful what you __init__
After init has finished, the caller can rightly assume that the
object is ready to use. That is, after jeff = Customer('Jeff Knupp',
1000.0), we can start making deposit and withdraw calls on jeff; jeff is a fully-initialized object.
Python __init__ and self what do they do?
What does self do? What is it meant to be? Is it mandatory?
What does the __init__ method do? Why is it necessary? (etc.)
The example given is not correct, so let me create a correct example based on it:
class SomeObject(object):
def __init__(self, blah):
self.blah = blah
def method(self):
return self.blah
When we create an instance of the object, the __init__ is called to customize the object after it has been created. That is, when we call SomeObject with 'blah' below (which could be anything), it gets passed to the __init__ function as the argument, blah:
an_object = SomeObject('blah')
The self argument is the instance of SomeObject that will be assigned to an_object.
Later, we might want to call a method on this object:
an_object.method()
Doing the dotted lookup, that is, an_object.method, binds the instance to an instance of the function, and the method (as called above) is now a "bound" method - which means we do not need to explicitly pass the instance to the method call.
The method call gets the instance because it was bound on the dotted lookup, and when called, then executes whatever code it was programmed to perform.
The implicitly passed self argument is called self by convention. We could use any other legal Python name, but you will likely get tarred and feathered by other Python programmers if you change it to something else.
__init__ is a special method, documented in the Python datamodel documentation. It is called immediately after the instance is created (usually via __new__ - although __new__ is not required unless you are subclassing an immutable datatype).

What needs to be inside of __init__.py [duplicate]

This question already has answers here:
What is the purpose of the `self` parameter? Why is it needed?
(26 answers)
Why do we use __init__ in Python classes?
(9 answers)
Closed 6 months ago.
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.
In this code:
class A(object):
def __init__(self):
self.x = 'Hello'
def method_a(self, foo):
print self.x + ' ' + foo
... the self variable represents the instance of the object itself. Most object-oriented languages pass this as a hidden parameter to the methods defined on an object; Python does not. You have to declare it explicitly. When you create an instance of the A class and call its methods, it will be passed automatically, as in ...
a = A() # We do not pass any argument to the __init__ method
a.method_a('Sailor!') # We only pass a single argument
The __init__ method is roughly what represents a constructor in Python. When you call A() Python creates an object for you, and passes it as the first parameter to the __init__ method. Any additional parameters (e.g., A(24, 'Hello')) will also get passed as arguments--in this case causing an exception to be raised, since the constructor isn't expecting them.
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 after 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).
N.B. Some clarification of the use of the word "constructor" in this answer. Technically the responsibilities of a "constructor" are split over two methods in Python. Those methods are __new__ (responsible for allocating memory) and __init__ (as discussed here, responsible for initialising the newly created instance).
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
In short:
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
__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
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 :)
__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.
Try out this code. Hope it helps many C programmers like me to Learn Py.
#! /usr/bin/python2
class Person:
'''Doc - Inside Class '''
def __init__(self, name):
'''Doc - __init__ Constructor'''
self.n_name = name
def show(self, n1, n2):
'''Doc - Inside Show'''
print self.n_name
print 'Sum = ', (n1 + n2)
def __del__(self):
print 'Destructor Deleting object - ', self.n_name
p=Person('Jay')
p.show(2, 3)
print p.__doc__
print p.__init__.__doc__
print p.show.__doc__
Output:
Jay
Sum = 5
Doc - Inside Class
Doc - __init__ Constructor
Doc - Inside Show
Destructor Deleting object - Jay
Had trouble undestanding this myself. Even after reading the answers here.
To properly understand the __init__ method you need to understand self.
The self Parameter
The arguments accepted by the __init__ method are :
def __init__(self, arg1, arg2):
But we only actually pass it two arguments :
instance = OurClass('arg1', 'arg2')
Where has the extra argument come from ?
When we access attributes of an object we do it by name (or by reference). Here instance is a reference to our new object. We access the printargs method of the instance object using instance.printargs.
In order to access object attributes from within the __init__ method we need a reference to the object.
Whenever a method is called, a reference to the main object is passed as the first argument. By convention you always call this first argument to your methods self.
This means in the __init__ method we can do :
self.arg1 = arg1
self.arg2 = arg2
Here we are setting attributes on the object. You can verify this by doing the following :
instance = OurClass('arg1', 'arg2')
print instance.arg1
arg1
values like this are known as object attributes. Here the __init__ method sets the arg1 and arg2 attributes of the instance.
source: http://www.voidspace.org.uk/python/articles/OOP.shtml#the-init-method
note that self could actually be any valid python identifier. For example, we could just as easily write, from Chris B's example:
class A(object):
def __init__(foo):
foo.x = 'Hello'
def method_a(bar, foo):
print bar.x + ' ' + foo
and it would work exactly the same. It is however recommended to use self because other pythoners will recognize it more easily.
What does self do? What is it meant to be? Is it mandatory?
The first argument of every class method, including init, is always a reference to the current instance of the class. By convention, this argument is always named self. In the init method, self refers to the newly created object; in other class methods, it refers to the instance whose method was called.
Python doesn't force you on using "self". You can give it any name you want. But remember the first argument in a method definition is a reference to the object. Python adds the self argument to the list for you; you do not need to include it when you call the methods.
if you didn't provide self in init method then you will get an error
TypeError: __init___() takes no arguments (1 given)
What does the init method do? Why is it necessary? (etc.)
init is short for initialization. It is a constructor which gets called when you make an instance of the class and it is not necessary. But usually it our practice to write init method for setting default state of the object. If you are not willing to set any state of the object initially then you don't need to write this method.
__init__ is basically a function which will "initialize"/"activate" the properties of the class for a specific object, once created and matched to the corresponding class..
self represents that object which will inherit those properties.
Basically, you need to use the 'self' keyword when using a variable in multiple functions within the same class. As for init, it's used to setup default values incase no other functions from within that class are called.
The 'self' is a reference to the class instance
class foo:
def bar(self):
print "hi"
Now we can create an instance of foo and call the method on it, the self parameter is added by Python in this case:
f = foo()
f.bar()
But it can be passed in as well if the method call isn't in the context of an instance of the class, the code below does the same thing
f = foo()
foo.bar(f)
Interestingly the variable name 'self' is just a convention. The below definition will work exactly the same.. Having said that it is very strong convention which should be followed always, but it does say something about flexible nature of the language
class foo:
def bar(s):
print "hi"
Just a demo for the question.
class MyClass:
def __init__(self):
print('__init__ is the constructor for a class')
def __del__(self):
print('__del__ is the destructor for a class')
def __enter__(self):
print('__enter__ is for context manager')
return self
def __exit__(self, exc_type, exc_value, traceback):
print('__exit__ is for context manager')
def greeting(self):
print('hello python')
if __name__ == '__main__':
with MyClass() as mycls:
mycls.greeting()
$ python3 class.objects_instantiation.py
__init__ is the constructor for a class
__enter__ is for context manager
hello python
__exit__ is for context manager
__del__ is the destructor for a class
In this code:
class Cat:
def __init__(self, name):
self.name = name
def info(self):
print 'I am a cat and I am called', self.name
Here __init__ acts as a constructor for the class and when an object is instantiated, this function is called. self represents the instantiating object.
c = Cat('Kitty')
c.info()
The result of the above statements will be as follows:
I am a cat and I am called Kitty
# Source: Class and Instance Variables
# https://docs.python.org/2/tutorial/classes.html#class-and-instance-variables
class MyClass(object):
# class variable
my_CLS_var = 10
# sets "init'ial" state to objects/instances, use self argument
def __init__(self):
# self usage => instance variable (per object)
self.my_OBJ_var = 15
# also possible, class name is used => init class variable
MyClass.my_CLS_var = 20
def run_example_func():
# PRINTS 10 (class variable)
print MyClass.my_CLS_var
# executes __init__ for obj1 instance
# NOTE: __init__ changes class variable above
obj1 = MyClass()
# PRINTS 15 (instance variable)
print obj1.my_OBJ_var
# PRINTS 20 (class variable, changed value)
print MyClass.my_CLS_var
run_example_func()
Here, the guy has written pretty well and simple: https://www.jeffknupp.com/blog/2014/06/18/improve-your-python-python-classes-and-object-oriented-programming/
Read above link as a reference to this:
self? So what's with that self parameter to all of the Customer
methods? What is it? Why, it's the instance, of course! Put another
way, a method like withdraw defines the instructions for withdrawing
money from some abstract customer's account. Calling
jeff.withdraw(100.0) puts those instructions to use on the jeff
instance.
So when we say def withdraw(self, amount):, we're saying, "here's how
you withdraw money from a Customer object (which we'll call self) and
a dollar figure (which we'll call amount). self is the instance of the
Customer that withdraw is being called on. That's not me making
analogies, either. jeff.withdraw(100.0) is just shorthand for
Customer.withdraw(jeff, 100.0), which is perfectly valid (if not often
seen) code.
init self may make sense for other methods, but what about init? When we call init, we're in the process of creating an object, so how can there already be a self? Python allows us to extend
the self pattern to when objects are constructed as well, even though
it doesn't exactly fit. Just imagine that jeff = Customer('Jeff
Knupp', 1000.0) is the same as calling jeff = Customer(jeff, 'Jeff
Knupp', 1000.0); the jeff that's passed in is also made the result.
This is why when we call init, we initialize objects by saying
things like self.name = name. Remember, since self is the instance,
this is equivalent to saying jeff.name = name, which is the same as
jeff.name = 'Jeff Knupp. Similarly, self.balance = balance is the same
as jeff.balance = 1000.0. After these two lines, we consider the
Customer object "initialized" and ready for use.
Be careful what you __init__
After init has finished, the caller can rightly assume that the
object is ready to use. That is, after jeff = Customer('Jeff Knupp',
1000.0), we can start making deposit and withdraw calls on jeff; jeff is a fully-initialized object.
Python __init__ and self what do they do?
What does self do? What is it meant to be? Is it mandatory?
What does the __init__ method do? Why is it necessary? (etc.)
The example given is not correct, so let me create a correct example based on it:
class SomeObject(object):
def __init__(self, blah):
self.blah = blah
def method(self):
return self.blah
When we create an instance of the object, the __init__ is called to customize the object after it has been created. That is, when we call SomeObject with 'blah' below (which could be anything), it gets passed to the __init__ function as the argument, blah:
an_object = SomeObject('blah')
The self argument is the instance of SomeObject that will be assigned to an_object.
Later, we might want to call a method on this object:
an_object.method()
Doing the dotted lookup, that is, an_object.method, binds the instance to an instance of the function, and the method (as called above) is now a "bound" method - which means we do not need to explicitly pass the instance to the method call.
The method call gets the instance because it was bound on the dotted lookup, and when called, then executes whatever code it was programmed to perform.
The implicitly passed self argument is called self by convention. We could use any other legal Python name, but you will likely get tarred and feathered by other Python programmers if you change it to something else.
__init__ is a special method, documented in the Python datamodel documentation. It is called immediately after the instance is created (usually via __new__ - although __new__ is not required unless you are subclassing an immutable datatype).

Learning Python the Hard Way ex40, i dont understand the __init__ part [duplicate]

This question already has answers here:
What is the purpose of the `self` parameter? Why is it needed?
(26 answers)
Why do we use __init__ in Python classes?
(9 answers)
Closed 6 months ago.
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.
In this code:
class A(object):
def __init__(self):
self.x = 'Hello'
def method_a(self, foo):
print self.x + ' ' + foo
... the self variable represents the instance of the object itself. Most object-oriented languages pass this as a hidden parameter to the methods defined on an object; Python does not. You have to declare it explicitly. When you create an instance of the A class and call its methods, it will be passed automatically, as in ...
a = A() # We do not pass any argument to the __init__ method
a.method_a('Sailor!') # We only pass a single argument
The __init__ method is roughly what represents a constructor in Python. When you call A() Python creates an object for you, and passes it as the first parameter to the __init__ method. Any additional parameters (e.g., A(24, 'Hello')) will also get passed as arguments--in this case causing an exception to be raised, since the constructor isn't expecting them.
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 after 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).
N.B. Some clarification of the use of the word "constructor" in this answer. Technically the responsibilities of a "constructor" are split over two methods in Python. Those methods are __new__ (responsible for allocating memory) and __init__ (as discussed here, responsible for initialising the newly created instance).
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
In short:
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
__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
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 :)
__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.
Try out this code. Hope it helps many C programmers like me to Learn Py.
#! /usr/bin/python2
class Person:
'''Doc - Inside Class '''
def __init__(self, name):
'''Doc - __init__ Constructor'''
self.n_name = name
def show(self, n1, n2):
'''Doc - Inside Show'''
print self.n_name
print 'Sum = ', (n1 + n2)
def __del__(self):
print 'Destructor Deleting object - ', self.n_name
p=Person('Jay')
p.show(2, 3)
print p.__doc__
print p.__init__.__doc__
print p.show.__doc__
Output:
Jay
Sum = 5
Doc - Inside Class
Doc - __init__ Constructor
Doc - Inside Show
Destructor Deleting object - Jay
Had trouble undestanding this myself. Even after reading the answers here.
To properly understand the __init__ method you need to understand self.
The self Parameter
The arguments accepted by the __init__ method are :
def __init__(self, arg1, arg2):
But we only actually pass it two arguments :
instance = OurClass('arg1', 'arg2')
Where has the extra argument come from ?
When we access attributes of an object we do it by name (or by reference). Here instance is a reference to our new object. We access the printargs method of the instance object using instance.printargs.
In order to access object attributes from within the __init__ method we need a reference to the object.
Whenever a method is called, a reference to the main object is passed as the first argument. By convention you always call this first argument to your methods self.
This means in the __init__ method we can do :
self.arg1 = arg1
self.arg2 = arg2
Here we are setting attributes on the object. You can verify this by doing the following :
instance = OurClass('arg1', 'arg2')
print instance.arg1
arg1
values like this are known as object attributes. Here the __init__ method sets the arg1 and arg2 attributes of the instance.
source: http://www.voidspace.org.uk/python/articles/OOP.shtml#the-init-method
note that self could actually be any valid python identifier. For example, we could just as easily write, from Chris B's example:
class A(object):
def __init__(foo):
foo.x = 'Hello'
def method_a(bar, foo):
print bar.x + ' ' + foo
and it would work exactly the same. It is however recommended to use self because other pythoners will recognize it more easily.
What does self do? What is it meant to be? Is it mandatory?
The first argument of every class method, including init, is always a reference to the current instance of the class. By convention, this argument is always named self. In the init method, self refers to the newly created object; in other class methods, it refers to the instance whose method was called.
Python doesn't force you on using "self". You can give it any name you want. But remember the first argument in a method definition is a reference to the object. Python adds the self argument to the list for you; you do not need to include it when you call the methods.
if you didn't provide self in init method then you will get an error
TypeError: __init___() takes no arguments (1 given)
What does the init method do? Why is it necessary? (etc.)
init is short for initialization. It is a constructor which gets called when you make an instance of the class and it is not necessary. But usually it our practice to write init method for setting default state of the object. If you are not willing to set any state of the object initially then you don't need to write this method.
__init__ is basically a function which will "initialize"/"activate" the properties of the class for a specific object, once created and matched to the corresponding class..
self represents that object which will inherit those properties.
Basically, you need to use the 'self' keyword when using a variable in multiple functions within the same class. As for init, it's used to setup default values incase no other functions from within that class are called.
The 'self' is a reference to the class instance
class foo:
def bar(self):
print "hi"
Now we can create an instance of foo and call the method on it, the self parameter is added by Python in this case:
f = foo()
f.bar()
But it can be passed in as well if the method call isn't in the context of an instance of the class, the code below does the same thing
f = foo()
foo.bar(f)
Interestingly the variable name 'self' is just a convention. The below definition will work exactly the same.. Having said that it is very strong convention which should be followed always, but it does say something about flexible nature of the language
class foo:
def bar(s):
print "hi"
Just a demo for the question.
class MyClass:
def __init__(self):
print('__init__ is the constructor for a class')
def __del__(self):
print('__del__ is the destructor for a class')
def __enter__(self):
print('__enter__ is for context manager')
return self
def __exit__(self, exc_type, exc_value, traceback):
print('__exit__ is for context manager')
def greeting(self):
print('hello python')
if __name__ == '__main__':
with MyClass() as mycls:
mycls.greeting()
$ python3 class.objects_instantiation.py
__init__ is the constructor for a class
__enter__ is for context manager
hello python
__exit__ is for context manager
__del__ is the destructor for a class
In this code:
class Cat:
def __init__(self, name):
self.name = name
def info(self):
print 'I am a cat and I am called', self.name
Here __init__ acts as a constructor for the class and when an object is instantiated, this function is called. self represents the instantiating object.
c = Cat('Kitty')
c.info()
The result of the above statements will be as follows:
I am a cat and I am called Kitty
# Source: Class and Instance Variables
# https://docs.python.org/2/tutorial/classes.html#class-and-instance-variables
class MyClass(object):
# class variable
my_CLS_var = 10
# sets "init'ial" state to objects/instances, use self argument
def __init__(self):
# self usage => instance variable (per object)
self.my_OBJ_var = 15
# also possible, class name is used => init class variable
MyClass.my_CLS_var = 20
def run_example_func():
# PRINTS 10 (class variable)
print MyClass.my_CLS_var
# executes __init__ for obj1 instance
# NOTE: __init__ changes class variable above
obj1 = MyClass()
# PRINTS 15 (instance variable)
print obj1.my_OBJ_var
# PRINTS 20 (class variable, changed value)
print MyClass.my_CLS_var
run_example_func()
Here, the guy has written pretty well and simple: https://www.jeffknupp.com/blog/2014/06/18/improve-your-python-python-classes-and-object-oriented-programming/
Read above link as a reference to this:
self? So what's with that self parameter to all of the Customer
methods? What is it? Why, it's the instance, of course! Put another
way, a method like withdraw defines the instructions for withdrawing
money from some abstract customer's account. Calling
jeff.withdraw(100.0) puts those instructions to use on the jeff
instance.
So when we say def withdraw(self, amount):, we're saying, "here's how
you withdraw money from a Customer object (which we'll call self) and
a dollar figure (which we'll call amount). self is the instance of the
Customer that withdraw is being called on. That's not me making
analogies, either. jeff.withdraw(100.0) is just shorthand for
Customer.withdraw(jeff, 100.0), which is perfectly valid (if not often
seen) code.
init self may make sense for other methods, but what about init? When we call init, we're in the process of creating an object, so how can there already be a self? Python allows us to extend
the self pattern to when objects are constructed as well, even though
it doesn't exactly fit. Just imagine that jeff = Customer('Jeff
Knupp', 1000.0) is the same as calling jeff = Customer(jeff, 'Jeff
Knupp', 1000.0); the jeff that's passed in is also made the result.
This is why when we call init, we initialize objects by saying
things like self.name = name. Remember, since self is the instance,
this is equivalent to saying jeff.name = name, which is the same as
jeff.name = 'Jeff Knupp. Similarly, self.balance = balance is the same
as jeff.balance = 1000.0. After these two lines, we consider the
Customer object "initialized" and ready for use.
Be careful what you __init__
After init has finished, the caller can rightly assume that the
object is ready to use. That is, after jeff = Customer('Jeff Knupp',
1000.0), we can start making deposit and withdraw calls on jeff; jeff is a fully-initialized object.
Python __init__ and self what do they do?
What does self do? What is it meant to be? Is it mandatory?
What does the __init__ method do? Why is it necessary? (etc.)
The example given is not correct, so let me create a correct example based on it:
class SomeObject(object):
def __init__(self, blah):
self.blah = blah
def method(self):
return self.blah
When we create an instance of the object, the __init__ is called to customize the object after it has been created. That is, when we call SomeObject with 'blah' below (which could be anything), it gets passed to the __init__ function as the argument, blah:
an_object = SomeObject('blah')
The self argument is the instance of SomeObject that will be assigned to an_object.
Later, we might want to call a method on this object:
an_object.method()
Doing the dotted lookup, that is, an_object.method, binds the instance to an instance of the function, and the method (as called above) is now a "bound" method - which means we do not need to explicitly pass the instance to the method call.
The method call gets the instance because it was bound on the dotted lookup, and when called, then executes whatever code it was programmed to perform.
The implicitly passed self argument is called self by convention. We could use any other legal Python name, but you will likely get tarred and feathered by other Python programmers if you change it to something else.
__init__ is a special method, documented in the Python datamodel documentation. It is called immediately after the instance is created (usually via __new__ - although __new__ is not required unless you are subclassing an immutable datatype).

Why does "self" outside a function's parameters give a "not defined" error?

Look at this code:
class MyClass():
# Why does this give me "NameError: name 'self' is not defined":
mySelf = self
# But this does not?
def myFunction(self):
mySelf2 = self
Basically I want a way for a class to refer to itself without needing to name itself specifically, hence I want self to work for the class, not just methods/functions. How can I achieve this?
EDIT: The point of this is that I'm trying to refer to the class name from inside the class itself with something like self.class._name_ so that the class name isn't hardcoded anywhere in the class's code, and thus it's easier to re-use the code.
EDIT 2: From what I've learned from the answers below, what I'm trying to do is impossible. I'll have to find a different way. Mission abandoned.
EDIT 3: Here is specifically what I'm trying to do:
class simpleObject(object):
def __init__(self, request):
self.request = request
#view_defaults(renderer='string')
class Test(simpleObject):
# this line throws an error because of self
myClassName = self.__class__.__name__
#view_config(route_name=myClassName)
def activateTheView(self):
db = self.request.db
foo = 'bar'
return foo
Note that self is not defined at the time when you want the class to refer to itself for the assignment to work. This is because (in addition to being named arbitrarily), self refers to instances and not classes. At the time that the suspect line of code attempts to run, there is as of yet no class for it to refer to. Not that it would refer to the class if there was.
In a method, you can always use type(self). That will get the subclass of MyClass that created the current instance. If you want to hard-code to MyClass, that name will be available in the global scope of the methods. This will allow you to do everything that your example would allow if it actually worked. E.g, you can just do MyClass.some_attribute inside your methods.
You probably want to modify the class attributes after class creation. This can be done with decorators or on an ad-hoc basis. Metaclasses may be a better fit. Without knowing what you actually want to do though, it's impossible to say.
UPDATE:
Here's some code to do what you want. It uses a metaclass AutoViewConfigMeta and a new decorator to mark the methods that you want view_config applied to. I spoofed the view_config decorator. It prints out the class name when it's called though to prove that it has access to it. The metaclass __new__ just loops through the class dictionary and looks for methods that were marked by the auto_view_config decorator. It cleans off the mark and applies the view_config decorator with the appropriate class name.
Here's the code.
# This just spoofs the view_config decorator.
def view_config(route=''):
def dec(f):
def wrapper(*args, **kwargs):
print "route={0}".format(route)
return f(*args, **kwargs)
return wrapper
return dec
# Apply this decorator to methods for which you want to call view_config with
# the class name. It will tag them. The metaclass will apply view_config once it
# has the class name.
def auto_view_config(f):
f.auto_view_config = True
return f
class AutoViewConfigMeta(type):
def __new__(mcls, name, bases, dict_):
#This is called during class creation. _dict is the namespace of the class and
# name is it's name. So the idea is to pull out the methods that need
# view_config applied to them and manually apply them with the class name.
# We'll recognize them because they will have the auto_view_config attribute
# set on them by the `auto_view_config` decorator. Then use type to create
# the class and return it.
for item in dict_:
if hasattr(dict_[item], 'auto_view_config'):
method = dict_[item]
del method.auto_view_config # Clean up after ourselves.
# The next line is the manual form of applying a decorator.
dict_[item] = view_config(route=name)(method)
# Call out to type to actually create the class with the modified dict.
return type.__new__(mcls, name, bases, dict_)
class simpleObject(object):
__metaclass__ = AutoViewConfigMeta
class Test(simpleObject):
#auto_view_config
def activateTheView(self):
foo = 'bar'
print foo
if __name__=='__main__':
t = Test()
t.activateTheView()
Let me know if you have any questions.
Python has an "explict is better than implicit" design philosophy.
Many languages have an implicit pointer or variable in the scope of a method that (e.g. this in C++) that refers to the object through which the method was invoked. Python does not have this. Here, all bound methods will have an extra first argument that is the object through which the method was invoked. You can call it anything you want (self is not a keyword like this in C++). The name self is convention rather than a syntactic rule.
Your method myFunction defines the variable self as a parameter so it works. There's no such variable at the class level so it's erroring out.
So much for the explanation. I'm not aware of a straightforward way for you to do what you want and I've never seen such requirement in Python. Can you detail why you want to do such a thing? Perhaps there's an assumption that you're making which can be handled in another way using Python.
self is just a name, your self in this case is a class variable and not this for the object using which it is called,
self is treated as a normal variable and it is not defined, where as the self in the function comes from the object used for calling.
you want to treat the object reference in self as a class variable which is not possible.
self isn't a keyword, it's just a convention. The methods are attributes of the class object (not the instance), but they receive the instance as their first argument. You could rename the argument to xyzzy if you wanted and it would still work the same way.
But (as should be obvious) you can't refer to a method argument outside the body of the method. Inside a class block but outside of any method, self is undefined. And the concept wouldn't even make sense -- at the time the class block is being evaluated, no instance of the class can possibly exist yet.
Because the name self is explicitly defined as part of the arguments to myFunction. The first argument to a method is the instance that the method was called on; in the class body, there isn't an "instance we're dealing with", because the class body deals with every possible instance of the class (including ones that don't necessarily exist yet) - so, there isn't a particular object that could be called self.
If you want to refer to the class itself, rather than some instance of it, this is spelled self.__class__ (or, for new-style classes in Py2 and all classes in Py3, type(self)) anywhere self exists. If you want to be able to deal with this in situations where self doesn't exist, then you may want to look at class methods which aren't associated with any particular instance, and so take the class itself in place of self. If you really need to do this in the class body (and, you probably don't), you'll just have to call it by name.
You can't refer to the class itself within the class body because the class doesn't exist at the time that the class body is executed. (If the previous sentence is confusing, reading up about metaclasses will either clear this up or make you more confused.)
Within an instance method, you can refer to the class of the instance with self.__class__, but be careful here. This will be the instance's actual class, which through the power of inheritance might not be the class in which the method was defined.
Within a class method, the class is passed in as the first argument, much like instances are the first argument to instance methods:
class MyClass(object):
#classmethod
def foo(cls):
print cls.__name__
MyClass.foo() # Should print "MyClass"
As with instance methods, the actual class might differ due to inheritance.
class OtherClass(MyClass):
pass
OtherClass.foo() # Should print "OtherClass"
If you really need to refer to MyClass within a method of MyClass, you're pretty much going to have to refer to it as MyClass unless you use magic. This sort of magic is more trouble than it is worth.

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