__class__ is an attribute on the object that refers to the class from which the object was created. a. __class__ # Output: <class 'int'> b. __class__ # Output: <class 'float'> After simple data types, let's now understand the type function and __class__ attribute with the help of a user-defined class, Human .
An object is simply a collection of data (variables) and methods (functions) that act on those data. Similarly, a class is a blueprint for that object. We can think of a class as a sketch (prototype) of a house. It contains all the details about the floors, doors, windows, etc.
An Object is an instance of a Class. A class is like a blueprint while an instance is a copy of the class with actual values. Python is object-oriented programming language that stresses on objects i.e. it mainly emphasizes functions.
This is an old question, but none of the answers seems to mention that. in the general case, it IS possible for a new-style class to have different values for type(instance)
and instance.__class__
:
class ClassA(object):
def display(self):
print("ClassA")
class ClassB(object):
__class__ = ClassA
def display(self):
print("ClassB")
instance = ClassB()
print(type(instance))
print(instance.__class__)
instance.display()
Output:
<class '__main__.ClassB'>
<class '__main__.ClassA'>
ClassB
The reason is that ClassB
is overriding the __class__
descriptor, however the internal type field in the object is not changed. type(instance)
reads directly from that type field, so it returns the correct value, whereas instance.__class__
refers to the new descriptor replacing the original descriptor provided by Python, which reads the internal type field. Instead of reading that internal type field, it returns a hardcoded value.
Old-style classes are the problem, sigh:
>>> class old: pass
...
>>> x=old()
>>> type(x)
<type 'instance'>
>>> x.__class__
<class __main__.old at 0x6a150>
>>>
Not a problem in Python 3 since all classes are new-style now;-).
In Python 2, a class is new-style only if it inherits from another new-style class (including object
and the various built-in types such as dict
, list
, set
, ...) or implicitly or explicitly sets __metaclass__
to type
.
type(obj)
and type.__class__
do not behave the same for old style classes:
>>> class a(object):
... pass
...
>>> class b(a):
... pass
...
>>> class c:
... pass
...
>>> ai=a()
>>> bi=b()
>>> ci=c()
>>> type(ai) is ai.__class__
True
>>> type(bi) is bi.__class__
True
>>> type(ci) is ci.__class__
False
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