Logo Questions Linux Laravel Mysql Ubuntu Git Menu
 

In Python, when should I use a function instead of a method?

People also ask

What is the difference between a method and a function in Python?

Difference between Python Methods vs FunctionsMethods are associated with the objects of the class they belong to. Functions are not associated with any object. We can invoke a function just by its name. Functions operate on the data you pass to them as arguments.

Why would a function or method be used?

Function is a set of logic that can be used to manipulate data. While, Method is function that is used to manipulate the data of the object where it belongs. So technically, if you have a function that is not completely related to your class but was declared in the class, its not a method; It's called a bad design.

Why should I use functions in Python?

In Python, a function is a group of related statements that performs a specific task. Functions help break our program into smaller and modular chunks. As our program grows larger and larger, functions make it more organized and manageable. Furthermore, it avoids repetition and makes the code reusable.

What's the difference between a method and a function?

Method and a function are the same, with different terms. A method is a procedure or function in object-oriented programming. A function is a group of reusable code which can be called anywhere in your program. This eliminates the need for writing the same code again and again.


My general rule is this - is the operation performed on the object or by the object?

if it is done by the object, it should be a member operation. If it could apply to other things too, or is done by something else to the object then it should be a function (or perhaps a member of something else).

When introducing programming, it is traditional (albeit implementation incorrect) to describe objects in terms of real-world objects such as cars. You mention a duck, so let's go with that.

class duck: 
    def __init__(self):pass
    def eat(self, o): pass 
    def crap(self) : pass
    def die(self)
    ....

In the context of the "objects are real things" analogy, it is "correct" to add a class method for anything which the object can do. So say I want to kill off a duck, do I add a .kill() to the duck? No... as far as I know animals do not commit suicide. Therefore if I want to kill a duck I should do this:

def kill(o):
    if isinstance(o, duck):
        o.die()
    elif isinstance(o, dog):
        print "WHY????"
        o.die()
    elif isinstance(o, nyancat):
        raise Exception("NYAN "*9001)
    else:
       print "can't kill it."

Moving away from this analogy, why do we use methods and classes? Because we want to contain data and hopefully structure our code in a manner such that it will be reusable and extensible in the future. This brings us to the notion of encapsulation which is so dear to OO design.

The encapsulation principal is really what this comes down to: as a designer you should hide everything about the implementation and class internals which it is not absolutely necessarily for any user or other developer to access. Because we deal with instances of classes, this reduces to "what operations are crucial on this instance". If an operation is not instance specific, then it should not be a member function.

TL;DR: what @Bryan said. If it operates on an instance and needs to access data which is internal to the class instance, it should be a member function.


Use a class when you want to:

1) Isolate calling code from implementation details -- taking advantage of abstraction and encapsulation.

2) When you want to be substitutable for other objects -- taking advantage of polymorphism.

3) When you want to reuse code for similar objects -- taking advantage of inheritance.

Use a function for calls that make sense across many different object types -- for example, the builtin len and repr functions apply to many kinds of objects.

That being said, the choice sometimes comes down to a matter of taste. Think in terms of what is most convenient and readable for typical calls. For example, which would be better (x.sin()**2 + y.cos()**2).sqrt() or sqrt(sin(x)**2 + cos(y)**2)?


I usually think of an object like a person.

Attributes are the person's name, height, shoe size, etc.

Methods and functions are operations that the person can perform.

If the operation could be done by just any ol' person, without requiring anything unique to this one specific person (and without changing anything on this one specific person), then it's a function and should be written as such.

If an operation is acting upon the person (e.g. eating, walking, ...) or requires something unique to this person to get involved (like dancing, writing a book, ...), then it should be a method.

Of course, it is not always trivial to translate this into the specific object you're working with, but I find it is a good way to think of it.


Here's a simple rule of thumb: if the code acts upon a single instance of an object, use a method. Even better: use a method unless there is a compelling reason to write it as a function.

In your specific example, you want it to look like this:

chessboard = Chessboard()
...
chessboard.get_king_moves()

Don't over think it. Always use methods until the point comes where you say to yourself "it doesn't make sense to make this a method", in which case you can make a function.


Generally I use classes to implement a logical set of capabilities for some thing, so that in the rest of my program I can reason about the thing, not having to worry about all the little concerns that make up its implementation.

Anything that's part of that core abstraction of "what you can do with a thing" should usually be a method. This generally includes everything that can alter a thing, as the internal data state is usually considered private and not part of the logical idea of "what you can do with a thing".

When you come to higher level operations, especially if they involve multiple things, I find they are usually most naturally expressed as functions, if they can be built out of the public abstraction of a thing without needing special access to the internals (unless they're methods of some other object). This has the big advantage that when I decide to completely rewrite the internals of how my thing works (without changing the interface), I just have a small core set of methods to rewrite, and then all the external functions written in terms of those methods will Just Work. I find that insisting that all operations to do with class X are methods on class X leads to over-complicated classes.

It depends on the code I'm writing though. For some programs I model them as a collection of objects whose interactions give rise to the behavior of the program; here most important functionality is closely coupled to a single object, and so is implemented in methods, with a scattering of utility functions. For other programs the most important stuff is a set of functions that manipulate data, and classes are in use only to implement the natural "duck types" that are manipulated by the functions.