New in version 2.3.
The sets
module provides classes for constructing and manipulating unordered collections of unique elements. Common uses include membership testing, removing duplicates from a sequence, and computing standard math operations on sets such as intersection, union, difference, and symmetric difference.
Like other collections, sets support x in set
, len(set)
, and for x in
set
. Being an unordered collection, sets do not record element position or order of insertion. Accordingly, sets do not support indexing, slicing, or other sequence-like behavior.
Most set applications use the Set
class which provides every set method except for __hash__()
. For advanced applications requiring a hash method, the ImmutableSet
class adds a __hash__()
method but omits methods which alter the contents of the set. Both Set
and ImmutableSet
derive from BaseSet
, an abstract class useful for determining whether something is a set: isinstance(obj, BaseSet)
.
The set classes are implemented using dictionaries. Accordingly, the requirements for set elements are the same as those for dictionary keys; namely, that the element defines both __eq__()
and __hash__()
. As a result, sets cannot contain mutable elements such as lists or dictionaries. However, they can contain immutable collections such as tuples or instances of ImmutableSet
. For convenience in implementing sets of sets, inner sets are automatically converted to immutable form, for example, Set([Set(['dog'])])
is transformed to Set([ImmutableSet(['dog'])])
.
class sets.Set([iterable])
Constructs a new empty Set
object. If the optional iterable parameter is supplied, updates the set with elements obtained from iteration. All of the elements in iterable should be immutable or be transformable to an immutable using the protocol described in section Protocol for automatic conversion to immutable.
class sets.ImmutableSet([iterable])
Constructs a new empty ImmutableSet
object. If the optional iterable parameter is supplied, updates the set with elements obtained from iteration. All of the elements in iterable should be immutable or be transformable to an immutable using the protocol described in section Protocol for automatic conversion to immutable.
Because ImmutableSet
objects provide a __hash__()
method, they can be used as set elements or as dictionary keys. ImmutableSet
objects do not have methods for adding or removing elements, so all of the elements must be known when the constructor is called.
Instances of Set
and ImmutableSet
both provide the following operations:
Operation | Equivalent | Result |
---|---|---|
len(s) | number of elements in set s (cardinality) | |
x in s | test x for membership in s | |
x not in s | test x for non-membership in s | |
s.issubset(t) | s <= t | test whether every element in s is in t |
s.issuperset(t) | s >= t | test whether every element in t is in s |
s.union(t) | s | t | new set with elements from both s and t |
s.intersection(t) | s & t | new set with elements common to s and t |
s.difference(t) | s - t | new set with elements in s but not in t |
s.symmetric_difference(t) | s ^ t | new set with elements in either s or t but not both |
s.copy() | new set with a shallow copy of s |
Note, the non-operator versions of union()
, intersection()
, difference()
, and symmetric_difference()
will accept any iterable as an argument. In contrast, their operator based counterparts require their arguments to be sets. This precludes error-prone constructions like Set('abc') & 'cbs'
in favor of the more readable Set('abc').intersection('cbs')
.
Changed in version 2.3.1: Formerly all arguments were required to be sets.
In addition, both Set
and ImmutableSet
support set to set comparisons. Two sets are equal if and only if every element of each set is contained in the other (each is a subset of the other). A set is less than another set if and only if the first set is a proper subset of the second set (is a subset, but is not equal). A set is greater than another set if and only if the first set is a proper superset of the second set (is a superset, but is not equal).
The subset and equality comparisons do not generalize to a complete ordering function. For example, any two disjoint sets are not equal and are not subsets of each other, so all of the following return False
: a<b
, a==b
, or a>b
. Accordingly, sets do not implement the __cmp__()
method.
Since sets only define partial ordering (subset relationships), the output of the list.sort()
method is undefined for lists of sets.
The following table lists operations available in ImmutableSet
but not found in Set
:
Operation | Result |
---|---|
hash(s) | returns a hash value for s |
The following table lists operations available in Set
but not found in ImmutableSet
:
Operation | Equivalent | Result |
---|---|---|
s.update(t) | s |= t | return set s with elements added from t |
s.intersection_update(t) | s &= t | return set s keeping only elements also found in t |
s.difference_update(t) | s -= t | return set s after removing elements found in t |
s.symmetric_difference_update(t) | s ^= t | return set s with elements from s or t but not both |
s.add(x) | add element x to set s | |
s.remove(x) | remove x from set s; raises KeyError if not present | |
s.discard(x) | removes x from set s if present | |
s.pop() | remove and return an arbitrary element from s; raises KeyError if empty | |
s.clear() | remove all elements from set s |
Note, the non-operator versions of update()
, intersection_update()
, difference_update()
, and symmetric_difference_update()
will accept any iterable as an argument.
Changed in version 2.3.1: Formerly all arguments were required to be sets.
Also note, the module also includes a union_update()
method which is an alias for update()
. The method is included for backwards compatibility. Programmers should prefer the update()
method because it is supported by the built-in set()
and frozenset()
types.
>>> from sets import Set >>> engineers = Set(['John', 'Jane', 'Jack', 'Janice']) >>> programmers = Set(['Jack', 'Sam', 'Susan', 'Janice']) >>> managers = Set(['Jane', 'Jack', 'Susan', 'Zack']) >>> employees = engineers | programmers | managers # union >>> engineering_management = engineers & managers # intersection >>> fulltime_management = managers - engineers - programmers # difference >>> engineers.add('Marvin') # add element >>> print engineers Set(['Jane', 'Marvin', 'Janice', 'John', 'Jack']) >>> employees.issuperset(engineers) # superset test False >>> employees.update(engineers) # update from another set >>> employees.issuperset(engineers) True >>> for group in [engineers, programmers, managers, employees]: ... group.discard('Susan') # unconditionally remove element ... print group ... Set(['Jane', 'Marvin', 'Janice', 'John', 'Jack']) Set(['Janice', 'Jack', 'Sam']) Set(['Jane', 'Zack', 'Jack']) Set(['Jack', 'Sam', 'Jane', 'Marvin', 'Janice', 'John', 'Zack'])
Sets can only contain immutable elements. For convenience, mutable Set
objects are automatically copied to an ImmutableSet
before being added as a set element.
The mechanism is to always add a hashable element, or if it is not hashable, the element is checked to see if it has an __as_immutable__()
method which returns an immutable equivalent.
Since Set
objects have a __as_immutable__()
method returning an instance of ImmutableSet
, it is possible to construct sets of sets.
A similar mechanism is needed by the __contains__()
and remove()
methods which need to hash an element to check for membership in a set. Those methods check an element for hashability and, if not, check for a __as_temporarily_immutable__()
method which returns the element wrapped by a class that provides temporary methods for __hash__()
, __eq__()
, and __ne__()
.
The alternate mechanism spares the need to build a separate copy of the original mutable object.
Set
objects implement the __as_temporarily_immutable__()
method which returns the Set
object wrapped by a new class _TemporarilyImmutableSet
.
The two mechanisms for adding hashability are normally invisible to the user; however, a conflict can arise in a multi-threaded environment where one thread is updating a set while another has temporarily wrapped it in _TemporarilyImmutableSet
. In other words, sets of mutable sets are not thread-safe.
The built-in set
and frozenset
types were designed based on lessons learned from the sets
module. The key differences are:
Set
and ImmutableSet
were renamed to set
and frozenset
.BaseSet
. Instead, use isinstance(x,
(set, frozenset))
.union_update()
method. Instead, use the update()
method which is equivalent._repr(sorted=True)
method. Instead, use the built-in repr()
and sorted()
functions: repr(sorted(s))
.
© 2001–2017 Python Software Foundation
Licensed under the PSF License.
https://docs.python.org/2.7/library/sets.html