Use of *args and **kwargs [duplicate]
So I have difficulty with the concept of *args
and **kwargs
.
So far I have learned that:
-
*args
= list of arguments - as positional arguments -
**kwargs
= dictionary - whose keys become separate keyword arguments and the values become values of these arguments.
I don't understand what programming task this would be helpful for.
Maybe:
I think to enter lists and dictionaries as arguments of a function AND at the same time as a wildcard, so I can pass ANY argument?
Is there a simple example to explain how *args
and **kwargs
are used?
Also the tutorial I found used just the "*" and a variable name.
Are *args
and **kwargs
just placeholders or do you use exactly *args
and **kwargs
in the code?
Solution 1:
The syntax is the *
and **
. The names *args
and **kwargs
are only by convention but there's no hard requirement to use them.
You would use *args
when you're not sure how many arguments might be passed to your function, i.e. it allows you pass an arbitrary number of arguments to your function. For example:
>>> def print_everything(*args):
for count, thing in enumerate(args):
... print( '{0}. {1}'.format(count, thing))
...
>>> print_everything('apple', 'banana', 'cabbage')
0. apple
1. banana
2. cabbage
Similarly, **kwargs
allows you to handle named arguments that you have not defined in advance:
>>> def table_things(**kwargs):
... for name, value in kwargs.items():
... print( '{0} = {1}'.format(name, value))
...
>>> table_things(apple = 'fruit', cabbage = 'vegetable')
cabbage = vegetable
apple = fruit
You can use these along with named arguments too. The explicit arguments get values first and then everything else is passed to *args
and **kwargs
. The named arguments come first in the list. For example:
def table_things(titlestring, **kwargs)
You can also use both in the same function definition but *args
must occur before **kwargs
.
You can also use the *
and **
syntax when calling a function. For example:
>>> def print_three_things(a, b, c):
... print( 'a = {0}, b = {1}, c = {2}'.format(a,b,c))
...
>>> mylist = ['aardvark', 'baboon', 'cat']
>>> print_three_things(*mylist)
a = aardvark, b = baboon, c = cat
As you can see in this case it takes the list (or tuple) of items and unpacks it. By this it matches them to the arguments in the function. Of course, you could have a *
both in the function definition and in the function call.
Solution 2:
One place where the use of *args
and **kwargs
is quite useful is for subclassing.
class Foo(object):
def __init__(self, value1, value2):
# do something with the values
print value1, value2
class MyFoo(Foo):
def __init__(self, *args, **kwargs):
# do something else, don't care about the args
print 'myfoo'
super(MyFoo, self).__init__(*args, **kwargs)
This way you can extend the behaviour of the Foo class, without having to know too much about Foo. This can be quite convenient if you are programming to an API which might change. MyFoo just passes all arguments to the Foo class.
Solution 3:
Here's an example that uses 3 different types of parameters.
def func(required_arg, *args, **kwargs):
# required_arg is a positional-only parameter.
print required_arg
# args is a tuple of positional arguments,
# because the parameter name has * prepended.
if args: # If args is not empty.
print args
# kwargs is a dictionary of keyword arguments,
# because the parameter name has ** prepended.
if kwargs: # If kwargs is not empty.
print kwargs
>>> func()
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
TypeError: func() takes at least 1 argument (0 given)
>>> func("required argument")
required argument
>>> func("required argument", 1, 2, '3')
required argument
(1, 2, '3')
>>> func("required argument", 1, 2, '3', keyword1=4, keyword2="foo")
required argument
(1, 2, '3')
{'keyword2': 'foo', 'keyword1': 4}
Solution 4:
Here's one of my favorite places to use the **
syntax as in Dave Webb's final example:
mynum = 1000
mystr = 'Hello World!'
print("{mystr} New-style formatting is {mynum}x more fun!".format(**locals()))
I'm not sure if it's terribly fast when compared to just using the names themselves, but it's a lot easier to type!
Solution 5:
One case where *args and **kwargs are useful is when writing wrapper functions (such as decorators) that need to be able accept arbitrary arguments to pass through to the function being wrapped. For example, a simple decorator that prints the arguments and return value of the function being wrapped:
def mydecorator( f ):
@functools.wraps( f )
def wrapper( *args, **kwargs ):
print "Calling f", args, kwargs
v = f( *args, **kwargs )
print "f returned", v
return v
return wrapper