Locomotive Engineer

Unpacking refers to the act of extracting the elements of a collection, such as a list, tuple, or dict, using iteration. Unpacked values can then be assigned to variables within the same statement, which is commonly referred to as Multiple assignment.

The special operators * and ** are often used in unpacking contexts and with multiple assignment.

Multiple assignment

In multiple assignment, the number of variables on the left side of the assignment operator (=) must match the number of values on the right side. To separate the values, use a comma ,:

>>> a, b = 1, 2
>>> a
1

If the multiple assignment gets an incorrect number of variables for the values given, a ValueError will be thrown:

>>> x, y, z = 1, 2

ValueError: too many values to unpack (expected 3, got 2)

Multiple assignment is not limited to one data type:

>>> x, y, z = 1, "Hello", True
>>> x
1

>>> y
'Hello'

>>> z
True

Multiple assignment can be used to swap elements in lists. This practice is pretty common in sorting algorithms. For example:

>>> numbers = [1, 2]
>>> numbers[0], numbers[1] = numbers[1], numbers[0]
>>> numbers
[2, 1]

Since tuples are immutable, you can't swap elements in a tuple.

Unpacking

In Python, it is possible to unpack the elements of list/tuple/dictionary into distinct variables. Since values appear within lists/tuples in a specific order, they are unpacked into variables in the same order:

>>> fruits = ["apple", "banana", "cherry"]
>>> x, y, z = fruits
>>> x
"apple"

If there are values that are not needed then you can use _ to flag them:

>>> fruits = ["apple", "banana", "cherry"]
>>> _, _, z = fruits
>>> z
"cherry"

Deep unpacking

Unpacking and assigning values from a list/tuple enclosed inside a list or tuple (also known as nested lists/tuples) works in the same way a shallow unpacking does — but often needs qualifiers to clarify the context or position:

>>> fruits_vegetables = [["apple", "banana"], ["carrot", "potato"]]
>>> [[a, b], [c, d]] = fruits_vegetables
>>> a
"apple"

>>> d
"potato"

You can also deeply unpack just a portion of a nested list/tuple:

>>> fruits_vegetables = [["apple", "banana"], ["carrot", "potato"]]
>>> [a, [c, d]] = fruits_vegetables
>>> a
["apple", "banana"]

>>> c
"carrot"

If the unpacking has variables with incorrect placement and/or an incorrect number of values, you will get a ValueError:

>>> fruits_vegetables = [["apple", "banana"], ["carrot", "potato"]]
>>> [[a, b], [d]] = fruits_vegetables

ValueError: too many values to unpack (expected 1)

Unpacking a list/tuple with *

When unpacking a list/tuple you can use the * operator to capture the "leftover" values. This is clearer than slicing the list/tuple (which in some situations is less readable). For example, the first element can be extracted and then the remaining values can be placed into a new list without the first element:

>>> fruits = ["apple", "banana", "cherry", "orange", "kiwi", "melon", "mango"]
>>> x, *last = fruits
>>> x
"apple"

>>> last
["banana", "cherry", "orange", "kiwi", "melon", "mango"]

We can also extract the values at the beginning and end of the list while grouping all the values in the middle:

>>> fruits = ["apple", "banana", "cherry", "orange", "kiwi", "melon", "mango"]
>>> x, *middle, y, z = fruits
>>> y
"melon"

>>> middle
["banana", "cherry", "orange", "kiwi"]

We can also use * in deep unpacking:

>>> fruits_vegetables = [["apple", "banana", "melon"], ["carrot", "potato", "tomato"]]
>>> [[a, *rest], b] = fruits_vegetables
>>> a
"apple"

>>> rest
["banana", "melon"]

Unpacking a dictionary

Unpacking a dictionary is a bit different from unpacking a list/tuple. Iteration over dictionaries defaults to the keys. So when unpacking a dict, you can only unpack the keys and not the values:

>>> fruits_inventory = {"apple": 6, "banana": 2, "cherry": 3}
>>> x, y, z = fruits_inventory
>>> x
"apple"

If you want to unpack the values then you can use the <dict>.values() method:

>>> fruits_inventory = {"apple": 6, "banana": 2, "cherry": 3}
>>> x, y, z = fruits_inventory.values()
>>> x
6

If both keys and values are needed, use the <dict>.items() method. <dict>.items() generates an iterable view containing key-value pairs. These can be unpacked into a tuple:

>>> fruits_inventory = {"apple": 6, "banana": 2, "cherry": 3}
>>> x, y, z = fruits_inventory.items()
>>> x
("apple", 6)

Packing

Packing is the ability to group multiple values into one list that is assigned to a variable. This is useful when you want to unpack values, make changes, and then pack the results back into a variable. It also makes it possible to perform merges on 2 or more lists/tuples/dicts.

Packing a list/tuple with *

Packing a list/tuple can be done using the * operator. This will pack all the values into a list/tuple.

>>> fruits = ("apple", "banana", "cherry")
>>> more_fruits = ["orange", "kiwi", "melon", "mango"]

# fruits and more_fruits are unpacked and then their elements are packed into combined_fruits
>>> combined_fruits = *fruits, *more_fruits

# If there is no * on to the left of the "=" the result is a tuple
>>> combined_fruits
("apple", "banana", "cherry", "orange", "kiwi", "melon", "mango")

# If the * operator is used on the left side of "=" the result is a list
>>> *combined_fruits_too, = *fruits, *more_fruits
>>> combined_fruits_too
['apple', 'banana', 'cherry', 'orange', 'kiwi', 'melon', 'mango']

Packing a dictionary with **

Packing a dictionary is done by using the ** operator. This will pack all key-value pairs from one dictionary into another dictionary, or combine two dictionaries together.

>>> fruits_inventory = {"apple": 6, "banana": 2, "cherry": 3}
>>> more_fruits_inventory = {"orange": 4, "kiwi": 1, "melon": 2, "mango": 3}

# fruits_inventory and more_fruits_inventory are unpacked into key-values pairs and combined.
>>> combined_fruits_inventory = {**fruits_inventory, **more_fruits_inventory}

# then the pairs are packed into combined_fruits_inventory
>>> combined_fruits_inventory
{"apple": 6, "banana": 2, "cherry": 3, "orange": 4, "kiwi": 1, "melon": 2, "mango": 3}

Usage of * and ** with functions

Packing with function parameters

When you create a function that accepts an arbitrary number of arguments, you can use *args or **kwargs in the function definition. *args is used to pack an arbitrary number of positional (non-keyword) arguments as a tuple and **kwargs is used to pack an arbitrary number of keyword arguments as a dictionary.

Usage of *args:

# This function is defined to take any number of positional arguments

>>> def my_function(*args):
...     print(args)

# Arguments given to the function are packed into a tuple

>>> my_function(1, 2, 3)
(1, 2, 3)

>>> my_function("Hello")
("Hello")

>>> my_function(1, 2, 3, "Hello", "Mars")
(1, 2, 3, "Hello", "Mars")

Usage of **kwargs:

# This function is defined to take any number of keyword arguments

>>> def my_function(**kwargs):
...   print(kwargs)

# Arguments given to the function are packed into a dictionary

>>> my_function(a=1, b=2, c=3)
{"a": 1, "b": 2, "c": 3}

*args and **kwargs can also be used in combination with one another:

>>> def my_function(*args, **kwargs):
...   print(sum(args))
...   for key, value in kwargs.items():
...       print(str(key) + " = " + str(value))

>>> my_function(1, 2, 3, a=1, b=2, c=3)
6
a = 1
b = 2
c = 3

You can also write parameters before *args to allow for specific positional arguments. Individual keyword arguments then have to appear before **kwargs.

>>> def my_function(a, b, *args):
...   print(a)
...   print(b)
...   print(args)

>>> my_function(1, 2, 3, 4, 5)
1
2
(3, 4, 5)

Writing arguments in an incorrect order will result in an error:

>>>def my_function(*args, a, b):
... print(args)

>>>my_function(1, 2, 3, 4, 5)
Traceback (most recent call last):
  File "c:\something.py", line 3, in <module>
    my_function(1, 2, 3, 4, 5)
TypeError: my_function() missing 2 required keyword-only arguments: 'a' and 'b'

Unpacking into function calls

You can use * to unpack a list/tuple of arguments into a function call. This is very useful for functions that don't accept an iterable:

>>> def my_function(a, b, c):
...   print(c)
...   print(b)
...   print(a)

numbers = [1, 2, 3]
>>> my_function(*numbers)
3
2
1

Using * unpacking with the zip() function is another common use case. Since zip() takes multiple iterables and returns a list of tuples with the values from each iterable grouped:

>>> values = (['x', 'y', 'z'], [1, 2, 3], [True, False, True])
>>> a, *rest = zip(*values)
>>> rest
[('y', 2, False), ('z', 3, True)]