Movatterモバイル変換


[0]ホーム

URL:


Menu
×
Sign In
+1 Get Certified For Teachers Spaces Plus Get Certified For Teachers Spaces Plus
   ❮     
     ❯   

Python Tutorial

Python HOMEPython IntroPython Get StartedPython SyntaxPython CommentsPython VariablesPython Data TypesPython NumbersPython CastingPython StringsPython BooleansPython OperatorsPython ListsPython TuplesPython SetsPython DictionariesPython If...ElsePython MatchPython While LoopsPython For LoopsPython FunctionsPython LambdaPython ArraysPython OOPPython Classes/ObjectsPython InheritancePython IteratorsPython PolymorphismPython ScopePython ModulesPython DatesPython MathPython JSONPython RegExPython PIPPython Try...ExceptPython String FormattingPython User InputPython VirtualEnv

File Handling

Python File HandlingPython Read FilesPython Write/Create FilesPython Delete Files

Python Modules

NumPy TutorialPandas TutorialSciPy TutorialDjango Tutorial

Python Matplotlib

Matplotlib IntroMatplotlib Get StartedMatplotlib PyplotMatplotlib PlottingMatplotlib MarkersMatplotlib LineMatplotlib LabelsMatplotlib GridMatplotlib SubplotMatplotlib ScatterMatplotlib BarsMatplotlib HistogramsMatplotlib Pie Charts

Machine Learning

Getting StartedMean Median ModeStandard DeviationPercentileData DistributionNormal Data DistributionScatter PlotLinear RegressionPolynomial RegressionMultiple RegressionScaleTrain/TestDecision TreeConfusion MatrixHierarchical ClusteringLogistic RegressionGrid SearchCategorical DataK-meansBootstrap AggregationCross ValidationAUC - ROC CurveK-nearest neighbors

Python DSA

Python DSALists and ArraysStacksQueuesLinked ListsHash TablesTreesBinary TreesBinary Search TreesAVL TreesGraphsLinear SearchBinary SearchBubble SortSelection SortInsertion SortQuick SortCounting SortRadix SortMerge Sort

Python MySQL

MySQL Get StartedMySQL Create DatabaseMySQL Create TableMySQL InsertMySQL SelectMySQL WhereMySQL Order ByMySQL DeleteMySQL Drop TableMySQL UpdateMySQL LimitMySQL Join

Python MongoDB

MongoDB Get StartedMongoDB Create DBMongoDB CollectionMongoDB InsertMongoDB FindMongoDB QueryMongoDB SortMongoDB DeleteMongoDB Drop CollectionMongoDB UpdateMongoDB Limit

Python Reference

Python OverviewPython Built-in FunctionsPython String MethodsPython List MethodsPython Dictionary MethodsPython Tuple MethodsPython Set MethodsPython File MethodsPython KeywordsPython ExceptionsPython Glossary

Module Reference

Random ModuleRequests ModuleStatistics ModuleMath ModulecMath Module

Python How To

Remove List DuplicatesReverse a StringAdd Two Numbers

Python Examples

Python ExamplesPython CompilerPython ExercisesPython QuizPython ServerPython SyllabusPython Study PlanPython Interview Q&APython BootcampPython CertificatePython Training

PythonSets


myset = {"apple", "banana", "cherry"}

Set

Sets are used to store multiple items in a single variable.

Set is one of 4 built-in data types in Python used to store collections of data, the other 3 areList,Tuple, andDictionary, all with different qualities and usage.

A set is a collection which isunordered,unchangeable*, andunindexed.

* Note: Setitems are unchangeable, but you can remove items and add new items.

Sets are written with curly brackets.

Example

Create a Set:

thisset = {"apple", "banana", "cherry"}
print(thisset)
Try it Yourself »

Note: Sets are unordered, so you cannot be sure in which order the items will appear.


Set Items

Set items are unordered, unchangeable, and do not allow duplicate values.


Unordered

Unordered means that the items in a set do not have a defined order.

Set items can appear in a different order every time you use them, and cannot be referred to by index or key.


Unchangeable

Set items are unchangeable, meaning that we cannot change the items after the set has been created.

Once a set is created, you cannot change its items, but you can remove items and add new items.


Duplicates Not Allowed

Sets cannot have two items with the same value.

Example

Duplicate values will be ignored:

thisset = {"apple", "banana", "cherry", "apple"}

print(thisset)
Try it Yourself »

Note: The valuesTrue and1 are considered the same value in sets, and are treated as duplicates:

Example

True and1 is considered the same value:

thisset = {"apple", "banana", "cherry", True, 1, 2}

print(thisset)
Try it Yourself »

Note: The valuesFalse and0 are considered the same value in sets, and are treated as duplicates:

Example

False and0 is considered the same value:

thisset = {"apple", "banana", "cherry", False, True, 0}

print(thisset)
Try it Yourself »


Get the Length of a Set

To determine how many items a set has, use thelen() function.

Example

Get the number of items in a set:

thisset = {"apple", "banana", "cherry"}

print(len(thisset))
Try it Yourself »

Set Items - Data Types

Set items can be of any data type:

Example

String, int and boolean data types:

set1 = {"apple", "banana", "cherry"}
set2 = {1, 5, 7, 9, 3}
set3 = {True, False, False}
Try it Yourself »

A set can contain different data types:

Example

A set with strings, integers and boolean values:

set1 = {"abc", 34, True, 40, "male"}
Try it Yourself »

type()

From Python's perspective, sets are defined as objects with the data type 'set':

<class 'set'>

Example

What is the data type of a set?

myset = {"apple", "banana", "cherry"}
print(type(myset))
Try it Yourself »

The set() Constructor

It is also possible to use theset() constructor to make a set.

Example

Using the set() constructor to make a set:

thisset = set(("apple", "banana", "cherry")) # note the double round-brackets
print(thisset)
Try it Yourself »

Python Collections (Arrays)

There are four collection data types in the Python programming language:

  • List is a collection which is ordered and changeable. Allows duplicate members.
  • Tuple is a collection which is ordered and unchangeable. Allows duplicate members.
  • Set is a collection which is unordered, unchangeable*, and unindexed. No duplicate members.
  • Dictionary is a collection which is ordered** and changeable. No duplicate members.

*Setitems are unchangeable, but you can remove items and add new items.

**As of Python version 3.7, dictionaries areordered. In Python 3.6 and earlier, dictionaries areunordered.

When choosing a collection type, it is useful to understand the properties of that type. Choosing the right type for a particular data set could mean retention of meaning, and, it could mean an increase in efficiency or security.



 
Track your progress - it's free!
 

×

Contact Sales

If you want to use W3Schools services as an educational institution, team or enterprise, send us an e-mail:
sales@w3schools.com

Report Error

If you want to report an error, or if you want to make a suggestion, send us an e-mail:
help@w3schools.com

W3Schools is optimized for learning and training. Examples might be simplified to improve reading and learning.
Tutorials, references, and examples are constantly reviewed to avoid errors, but we cannot warrant full correctness
of all content. While using W3Schools, you agree to have read and accepted ourterms of use,cookie and privacy policy.

Copyright 1999-2025 by Refsnes Data. All Rights Reserved.W3Schools is Powered by W3.CSS.


[8]ページ先頭

©2009-2025 Movatter.jp