Issue
What do *args
and **kwargs
mean?
def foo(x, y, *args):
def bar(x, y, **kwargs):
Solution
The *args
and **kwargs
is a common idiom to allow arbitrary number of arguments to functions as described in the section more on defining functions in the Python documentation.
The *args
will give you all function parameters as a tuple:
def foo(*args):
for a in args:
print(a)
foo(1)
# 1
foo(1,2,3)
# 1
# 2
# 3
The **kwargs
will give you all
keyword arguments except for those corresponding to a formal parameter as a dictionary.
def bar(**kwargs):
for a in kwargs:
print(a, kwargs[a])
bar(name='one', age=27)
# name one
# age 27
Both idioms can be mixed with normal arguments to allow a set of fixed and some variable arguments:
def foo(kind, *args, **kwargs):
pass
It is also possible to use this the other way around:
def foo(a, b, c):
print(a, b, c)
obj = {'b':10, 'c':'lee'}
foo(100,**obj)
# 100 10 lee
Another usage of the *l
idiom is to unpack argument lists when calling a function.
def foo(bar, lee):
print(bar, lee)
l = [1,2]
foo(*l)
# 1 2
In Python 3 it is possible to use *l
on the left side of an assignment (Extended Iterable Unpacking), though it gives a list instead of a tuple in this context:
first, *rest = [1,2,3,4]
first, *l, last = [1,2,3,4]
Also Python 3 adds new semantic (refer PEP 3102):
def func(arg1, arg2, arg3, *, kwarg1, kwarg2):
pass
For example the following works in python 3 but not python 2:
>>> x = [1, 2]
>>> [*x]
[1, 2]
>>> [*x, 3, 4]
[1, 2, 3, 4]
>>> x = {1:1, 2:2}
>>> x
{1: 1, 2: 2}
>>> {**x, 3:3, 4:4}
{1: 1, 2: 2, 3: 3, 4: 4}
Such function accepts only 3 positional arguments, and everything after *
can only be passed as keyword arguments.
Note:
- A Python
dict
, semantically used for keyword argument passing, are arbitrarily ordered. However, in Python 3.6, keyword arguments are guaranteed to remember insertion order. - "The order of elements in
**kwargs
now corresponds to the order in which keyword arguments were passed to the function." - What’s New In Python 3.6 - In fact, all dicts in CPython 3.6 will remember insertion order as an implementation detail, this becomes standard in Python 3.7.
Answered By - Peter Hoffmann Answer Checked By - Terry (PHPFixing Volunteer)
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