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Python Dictionaries

Dictionary

Dictionaries are used to store data values in key:value pairs.

A dictionary is a collection which is ordered*, changeable and do not allow duplicates.

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

Dictionaries are written with curly brackets, and have keys and values:

Example

thisdict =  {

"brand": "Ford",

"model": "Mustang",

"year": 1964

}

print(thisdict)

Dictionary Items

Dictionary items are ordered, changeable, and do not allow duplicates.

Dictionary items are presented in key:value pairs, and can be referred to by using the key name.

Example

thisdict =  {

"brand": "Ford",

"model": "Mustang",

"year": 1964

}

print(thisdict["brand"])

Ordered or Unordered?

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

When we say that dictionaries are ordered, it means that the items have a defined order, and that order will not change.

Unordered means that the items do not have a defined order, you cannot refer to an item by using an index.

Changeable

Dictionaries are changeable, meaning that we can change, add or remove items after the dictionary has been created.

Duplicates Not Allowed

Dictionaries cannot have two items with the same key:

Example

thisdict =  {

"brand": "Ford",

"model": "Mustang",

"year": 1964,
"year": 2020

}

print(thisdict)

Dictionary Length

To determine how many items a dictionary has, use the len() function:

Example

print(len(thisdict))

Dictionary Items - Data Types

The values in dictionary items can be of any data type:

Example

thisdict =  {

"brand": "Ford",

"electric": False,

"year": 1964,
"colors": ["red", "white", "blue"]

}

type()

From Python's perspective, dictionaries are defined as objects with the data type 'dict':

Example

thisdict =  {

"brand": "Ford",

"model": "Mustang",

"year": 1964

}

print(type(thisdict))

The dict() Constructor

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

Example

thisdict =
dict(name = "John", age = 36, country = "Norway")

print(thisdict)

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 and/or add items whenever you like.

**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 - Set Methods

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Python - Access Dictionary Items

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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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DictionaryDictionary ItemsOrdered or Unordered?ChangeableDuplicates Not AllowedDictionary LengthDictionary Items - Data Typestype()The dict() ConstructorPython Collections (Arrays)