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Python Sets

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 are List , Tuple , and Dictionary , all with different qualities and usage.

A set is a collection which is unordered , unchangeable* , and unindexed .

  • Note: Set items are unchangeable, but you can remove items and add new items.

Sets are written with curly brackets.

Example

thisset = {"apple", "banana", "cherry"}
print(thisset)

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

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

print(thisset)

Note

The values True and 1 are considered the same value in sets, and are treated as duplicates:

True

Note

The values False and 0 are considered the same value in sets, and are treated as duplicates:

False

Get the Length of a Set

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

Example

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

print(len(thisset))

Set Items - Data Types

Set items can be of any data type:

Example

set1 = {"apple", "banana", "cherry"}

set2 = {1, 5, 7, 9, 3}

set3 = {True, False, False}

A set can contain different data types:

Example

set1 = {"abc", 34, True, 40, "male"}

type()

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

Example

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

print(type(myset))

The set() Constructor

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

Example

thisset = set(("apple", "banana", "cherry")) # note the double round-brackets

print(thisset)

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.

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

**As of Python version 3.7, dictionaries are ordered . In Python 3.6 and earlier, dictionaries are unordered .

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.

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Python - Tuple Methods

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Python - Access Set Items

This chapter

Overview
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1. Python Tutorial2. Python Introduction3. Python Getting Started4. Python Syntax5. Python Statements6. Python Output / Print7. Python Output Numbers8. Python Comments9. Python Variables10. Python - Variable Names11. Python Variables - Assign Multiple Values12. Python - Output Variables13. Python - Global Variables14. Python Data Types15. Python Numbers16. Python Casting17. Python Strings18. Python - Slicing Strings19. Python - Modify Strings20. Python - String Concatenation21. Python - Format - Strings22. Python - Escape Characters23. Python - String Methods24. Python Booleans25. Python Operators26. Python Arithmetic Operators27. Python Assignment Operators28. Python Comparison Operators29. Python Logical Operators30. Python Identity Operators31. Python Membership Operators32. Python Bitwise Operators33. Python Operator Precedence34. Python Lists35. Python - Access List Items36. Python - Change List Items37. Python - Add List Items38. Python - Remove List Items39. Python - Loop Lists40. Python - List Comprehension41. Python - Sort Lists42. Python - Copy Lists43. Python - Join Lists44. Python - List Methods45. Python Tuples46. Python - Access Tuple Items47. Python - Update Tuples48. Python - Unpack Tuples49. Python - Loop Tuples50. Python - Join Tuples51. Python - Tuple Methods52. Python Sets53. Python - Access Set Items54. Python - Add Set Items55. Python - Remove Set Items56. Python - Loop Sets57. Python - Join Sets58. Python frozenset59. Python - Set Methods60. Python Dictionaries61. Python - Access Dictionary Items62. Python - Change Dictionary Items63. Python - Add Dictionary Items64. Python - Remove Dictionary Items65. Python - Loop Dictionaries66. Python - Copy Dictionaries67. Python - Nested Dictionaries68. Python Dictionary Methods69. Python If Statement70. Python Elif Statement71. Python Else Statement72. Python Shorthand If73. Python Logical Operators74. Python Nested If75. Python Pass Statement76. Python Match77. Python While Loops78. Python For Loops79. Python Functions80. Python Function Arguments81. Python *args and **kwargs82. Python Scope83. Python Decorators84. Python Lambda85. Python Recursion86. Python Generators87. Python range88. Python Arrays89. Python Iterators90. Python Modules91. Python Datetime92. Python Math93. Python JSON94. Python RegEx95. Python PIP96. Python Try Except97. Python String Formatting98. Python None99. Python User Input100. Python Virtual Environment

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SetSet ItemsUnorderedUnchangeableDuplicates Not AllowedGet the Length of a SetSet Items - Data Typestype()The set() ConstructorPython Collections (Arrays)