Dunder/Magic Methods in Python
Rahul Banerjee
Posted on March 29, 2021
Dunder methods are names that are preceded and succeeded by double underscores, hence the name dunder. They are also called magic methods and can help override functionality for built-in functions for custom classes.
1. Introduction
Implementing dunder methods for classes is a good form of Polymorphism. If you have ever created a class in Python and used the init function, then you have already been using dunder methods.
2. Table of contents
1. Introduction
2. Table of Contents
3. Prerequisites
4. Why do we need Dunder Methods?
5. Our custom class
6. Dunder Methods for our class
7. Some more dunder methods
8. Conclusion
3. Prerequisites
Before we continue it will be important to have the following:
- A basic understanding of Object Oriented Programming using Python.
- Experience working with classes in Python.
- Familiarity with built-in functions such as len, get, set, etc.
4. Why do we need Dunder methods?
Consider a case where we have the following class:
class point:
x = 4
y = 5
p1 = point()
print(p1)
The print statement would print something like <__main__.point object at 0x7fb992998d00>
. But, we might want the print statement to display something in the format (4,10)
. We can achieve this by overriding the __str__
method of our class.
We could also override other methods such as the len, +, []
etc. We will create a new class and override many of the built-in functions in this article.
5. Our custom class
class softwares:
names = []
versions = {}
This class will be used to save a list of software and their versions. names
is a list to store the names of the software and versions
is a dictionary where the key is the software name and the value is the version number. By default, all softwares start with a version of 1.
6. Dunder methods for our class
Before moving on, please ensure that your indentation is correct. The methods that will be discussed below are methods belonging to the class we created and must be indented appropriately.
6.1. init
This is a method you must have already used if you have worked with classes. The init
method is used to create an instance of the class.
def __init__(self,names):
if names:
self.names = names.copy()
for name in names:
self.versions[name] = 1
else:
raise Exception("Please Enter the names")
The init
method defined above accepts a list of names as parameters and stores it in the class’ names
list. Additionally, it also populates the versions
dictionary. We have also put a check on the names
list.
If the list is empty, an exception is raised. Below is how we would use the init
method.
p = softwares(['S1','S2','S3'])
p1 = softwares([])
The first statement would work fine but the second line would raise an exception since an empty list was passed in as a parameter.
6.2. str
The str
method is useful when we want to use instances of our class in a print statement. As discussed earlier, it usually returns a memory object. But we can override the str
method to meet our requirements.
def __str__(self):
s ="The current softwares and their versions are listed below: \n"
for key,value in self.versions.items():
s+= f"{key} : v{value} \n"
return s
The above str
method returns the software and their versions. Ensure that the function returns a string. Below is how we would call the method.
print(p)
6.3. setitem
When assigning values in a dictionary, the setitem
method is invoked.
d = {}
d['key'] = value
We can give instances of our class a similar feature with the help of the setitem
method.
def __setitem__(self,name,version):
if name in self.versions:
self.versions[name] = version
else:
raise Exception("Software Name doesn't exist")
The method above is going to update the version number of the software. If the software is not found, it will raise an error.
In the 3rd line, we use the built-in setitem
method of a dictionary.
We can invoke the setitem
method in the following way:
p['S1'] = 2
p['2'] = 2
The first line would update the version of software S1 to 2. But the second line would raise an exception since software 2 doesn’t exist.
6.4. getitem
The getitem
method is like the setitem
method, the major difference being that the getitem
method is called when we use the []
operator of a dictionary.
d = {'val':key}
print(d['val'])
Instances of our class can also be given a similar feature.
def __getitem__(self,name):
if name in self.versions:
return self.versions[name]
else:
raise Exception("Software Name doesn't exist")
The above method essentially returns the version of the software. If the software is not found, it raises an exception. To invoke the getitem
method, we can write the following line of code.
print(p['S1'])
print(p['1'])
The first line would print the version of S1. But, the second line would raise an Exception since 1 doesn’t exist.
6.5. delitem
The delitem
is like the setitem
and getitem
method. To avoid repetition, we will move on to the implementation and use case.
def __delitem__(self,name):
if name in self.versions:
del self.versions[name]
self.names.remove(name)
else:
raise Exception("Software Name doesn't exist")
The delitem
method deletes the software from the dictionary as well as the list.
It can be used as follows.
del p['S1']
6.6. len
In a dictionary, the len
method returns the number of elements in a list or the number of key-value pairs in a dictionary.
We can define a len
method for our class as well.
def __len__(self):
return len(self.names)
The len
method for our class returns the number of softwares. As you might have noticed, we are using the built-in len
method of a list to return the number of software.
The len
method of our class can be used in the following way.
print(len(p))
6.7. contains
The contains
method is used when using the in
operator. The return value has to be a boolean.
def __contains__(self,name):
if name in self.versions:
return True
else:
return False
The method checks if the name is found in the dictionary. We will be using the dictionary’s built-in contains
method for that.
if 'S2' in p:
print("Software Exists")
else:
print("Software DOESN'T exist")
The code above prints the statement inside the if blocks since software S2 is present inside the versions
dictionary.
6.8. Complete code
class softwares:
names = []
versions = {}
def __init__(self,names):
if names:
self.names = names.copy()
for name in names:
self.versions[name] = 1
else:
raise Exception("Please Enter the names")
def __str__(self):
s ="The current softwares and their versions are listed below: \n"
for key,value in self.versions.items():
s+= f"{key} : v{value} \n"
return s
def __setitem__(self,name,version):
if name in self.versions:
self.versions[name] = version
else:
raise Exception("Software Name doesn't exist")
def __getitem__(self,name):
if name in self.versions:
return self.versions[name]
else:
raise Exception("Software Name doesn't exist")
def __delitem__(self,name):
if name in self.versions:
del self.versions[name]
self.names.remove(name)
else:
raise Exception("Software Name doesn't exist")
def __len__(self):
return len(self.names)
def __contains__(self,name):
if name in self.versions:
return True
else:
return False
7. Some more dunder methods
Before looking at some more dunder methods, let’s create a new class.
class point:
x = None
y = None
def __init__(self, x , y):
self.x = x
self.y = y
def __str__(self):
s = f'({self.x},{self.y})'
return s
p1 = point(5,4)
p2 = point(2,3)
We have created a class point which is basically a 2D point. The class has an init
method and a str
method. We have also created a couple of instances of the class.
7.1. add
The add
method is called when using the +
operator. We can define a custom add
method for our class.
p1 + p2
is equal to p1._add__(p2)
def __add__(self,p2):
x = self.x + p2.x
y = self.y + p2.y
return point(x,y)
The above method adds the x and y coordinates of the first instance of point
and the second instance of point
. It will create a new instance of point
and then return it.
p3 = p1 + p2
The line of code above invokes the add
method.
7.2. iadd
The iadd
method is like the add
method. It is invoked when using the +=
operator
def __iadd__(self,p2):
self.x += p2.x
self.y += p2.y
return self
The method above just updates an instance’s coordinates by adding the coordinates of p2
. Make sure you are returning self
, otherwise it will return None and won’t work as expected.
p1 += p2
print(p1)
The above method invokes the iadd
method.
7.3. Other operators
-
__sub__(self,p2)
( - ) -
__isub__(self,p2)
( -= ) -
__mul__(self,p2)
( * ) -
__imul__(self,p2)
( *= ) -
__truediv__(self,p2)
( \ ) -
__itruediv__(self,p2)
( \= ) -
__floordiv__(self,p2)
( \\ ) -
__ifloordiv__(self,p2)
( \= )
7.4. call
When invoking a function like func()
, we are invoking the call
method.
If we put in place a call
method for our class, we can do the following:
p1()
p2()
Below is an example call method:
def __call__(self):
print(f"Called Point {self.x},{self.y}")
7.5. Complete code
class point:
x = None
y = None
def __init__(self, x , y):
self.x = x
self.y = y
def __str__(self):
s = f'({self.x},{self.y})'
return s
def __add__(self,p2):
print("In add")
x = self.x + p2.x
y = self.y + p2.y
return point(x,y)
def __iadd__(self,p2):
self.x += p2.x
self.y += p2.y
return self
def __isub__(self,p2):
self.x -= p2.x
self.y -= p2.y
return self
def __imul__(self,p2):
self.x *= p2.x
self.y *= p2.y
return self
def __itruediv__(self,p2):
self.x /= p2.x
self.y /= p2.y
return self
def __ifloordiv__(self,p2):
self.x //= p2.x
self.y //= p2.y
return self
def __call__(self):
print(f"Called Point {self.x},{self.y}")
8. Conclusion
Dunder methods are indeed magical and can help you improve the functionality of your class. They can help you customize your classes and re-define the built-in methods. Although we have discussed some of the most common dunder methods, there are more dunder methods like hash which are really useful. hash is used to add a hashing algorithm to your class. This allows objects of your class to be used as keys in a dictionary and have a lookup time of O(1). You can find more about hash and other dunder methods here.
Happy Learning! :)
Posted on March 29, 2021
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