dictionary

Object that maps unique keys to values

Since R2022b. Recommended over containers.Map.

Description

A dictionary is useful for fast lookup of values in a larger set. A dictionary is a map that stores data as values, which can be accessed using corresponding unique keys. Each pair of keys and values is an entry.

Creation

Syntax

d = dictionary(keys,values)

d = dictionary(k1,v1,...,kN,vN)

d = dictionary

Description

d = dictionary(keys,values) creates a dictionary with specified keys and values. The resulting dictionary d is a 1-by-1 scalar object. If multiple values are assigned to the same key, then only the last of those values is assigned. New assignments to an existing key overwrite the value for that entry.

keys and values must be the same size unless values is a scalar, where each element of keys becomes a key for values. When keys and values are arrays, the number of entries is equal to the number of key-value pairs.

Dictionaries are typed based on their entries. All keys and all values in a dictionary must share respective data types or be able to be converted to the configured data type. If parts of a new entry do not share the configured data types then MATLAB^® attempts a conversion. Keys and values do not need to be of the same data type. Character row vectors are converted to string scalars when assigned as keys or values.

Values of different types can be added to a dictionary if they are contained in a cell array. When performing a lookup on a dictionary that uses cells as values, a cell array is returned. The contents of the cell array can be accessed directly by using curly braces ({}) instead of parentheses. (since R2023a)

d = dictionary(k1,v1,...,kN,vN) creates a dictionary with specified key-value pairs. If multiple instances of the same key are specified then only the last key-value pair is assigned.

d = dictionary creates an unconfigured dictionary with no keys or values.

When a dictionary is created without inputs, it is unconfigured and has no types. Adding entries to an unconfigured dictionary specifies a data type for the keys and a data type for the values.

Input Arguments

keys — Keys

scalar | array

Keys, specified as a scalar or an array. Individual elements of keys must be scalars of the same data type or of compatible data types.

If keys is an array, each element creates a new key. If keys contains duplicate elements, the corresponding value of the last duplicate element is assigned.

values — Values

scalar | array | cell array

Values, specified as a scalar, array, or cell array. Individual elements of values must be scalars of the same data type. If values need to be heterogeneous or nonscalar, use a cell array.

If values is an array, each element creates a new value. If keys is an array and values is a scalar, then that value is mapped to each key in keys.

k1,v1,...,kN,vN — Key-value pairs (as separate arguments)

scalar | array

Key-value pairs, specified as separate arguments of key and value scalars and arrays. All key arguments must have the same data type or have compatible data types. All value arguments must have the same data type or have compatible data types.

Usage

Syntax

valueOut = d(keys)

d(keys) = newValues

d(keys) = []

valueOut = d{keys}

d{keys} = newValues

Description

Use dictionary to create the dictionary, d. Then you can evaluate or change d at specific query points using any of the following syntaxes:

valueOut = d(keys) looks up the value that corresponds to keys.

d(keys) = newValues assigns the elements of newValues to the entries specified by the corresponding values of keys. If a specified key does not exist in the dictionary, then a new entry is added. If multiple values are assigned to the same key, then only the last of those values is assigned. New assignments to an existing key overwrite the value for that entry.

d(keys) = [] removes the entry associated with keys from the dictionary.

valueOut = d{keys} looks up the value associated with keys and returns the contents of the cell. If keys is an array, a comma separated list of the corresponding values is returned. If the dictionary's values are configured to be a datatype other than cell, an error is thrown.

d{keys} = newValues assigns cells containing the elements of newValues to the entries specified by the corresponding values of keys. If the dictionary's values are configured to be a datatype other than cell an error is thrown.

Object Functions

configureDictionary	Create dictionary with specified key and value types
insert	Add entries to a dictionary
lookup	Find value in dictionary by key
remove	Remove dictionary entries
entries	Key-value pairs of dictionary
keys	Keys of dictionary
values	Values of dictionary
types	Types of dictionary keys and values
numEntries	Number of key-value pairs in dictionary
isConfigured	Determine if dictionary has types assigned to keys and values
isKey	Determine if dictionary contains key

Examples

Create and Manage a Dictionary

Create a dictionary to store the number of wheels of different vehicles.

Create an array of names and an array of corresponding number of wheels.

wheels = [1 2 3];
names = ["Monocycle" "Bicycle" "Tricycle"];

Create a dictionary using the names as keys and the number of wheels as values.

d = dictionary(names,wheels)

d =

  dictionary (string --> double) with 3 entries:

    "Monocycle" --> 1
    "Bicycle"   --> 2
    "Tricycle"  --> 3

Access dictionary values by using the key as an index.

d("Tricycle")

ans = 3

Entries can be modified by assigning a new value to an existing key.

d("Bicycle") = 2.5

d =

  dictionary (string --> double) with 3 entries:

    "Monocycle" --> 1
    "Bicycle"   --> 2.5000
    "Tricycle"  --> 3

Add new entries to a dictionary by assigning values to keys.

d("Car") = 4

d =

  dictionary (string --> double) with 4 entries:

    "Monocycle" --> 1
    "Bicycle"   --> 2.5000
    "Tricycle"  --> 3
    "Car"       --> 4

Add multiple entries using arrays of keys and values.

names2 = ["Truck" "Motorcycle" "Sixteen-Wheeler"];
wheels2 = [4 2 16];
d(names2) = wheels2

d =

  dictionary (string --> double) with 7 entries:

    "Monocycle"       --> 1
    "Bicycle"         --> 2.5000
    "Tricycle"        --> 3
    "Car"             --> 4
    "Truck"           --> 4
    "Motorcycle"      --> 2
    "Sixteen-Wheeler" --> 16

Remove entries by assigning an empty array to an existing key.

d("Truck") = []

d =

  dictionary (string --> double) with 6 entries:

    "Monocycle"       --> 1
    "Bicycle"         --> 2.5000
    "Tricycle"        --> 3
    "Car"             --> 4
    "Motorcycle"      --> 2
    "Sixteen-Wheeler" --> 16

New entries are automatically converted to match the configured data types of the dictionary. If a conversion is not possible, MATLAB throws an error.

d('Spider-Car') = "8"

d =

  dictionary (string --> double) with 7 entries:

    "Monocycle"       --> 1
    "Bicycle"         --> 2.5000
    "Tricycle"        --> 3
    "Car"             --> 4
    "Motorcycle"      --> 2
    "Sixteen-Wheeler" --> 16
    "Spider-Car"      --> 8

Store Multiple Data Types in a Dictionary

Dictionary values must have the same type. However, data of different types can be stored in a dictionary as a cell.

Create a cell array containing various data types and a string array of keys.

myValues = {datetime,@myfun,struct,[1 2 3 4]}

myValues=1×4 cell array
    {[19-Aug-2023 13:10:40]}    {@myfun}    {1x1 struct}    {[1 2 3 4]}

myKeys = ["my birthday" "my favorite function" "a structure" "numeric array"]

myKeys = 1x4 string
    "my birthday"    "my favorite function"    "a structure"    "numeric array"

Create a dictionary using the specified keys and values.

d = dictionary(myKeys,myValues)

d =

  dictionary (string --> cell) with 4 entries:

    "my birthday"          --> {[19-Aug-2023 13:10:40]}
    "my favorite function" --> {@myfun}
    "a structure"          --> {1x1 struct}
    "numeric array"        --> {[1 2 3 4]}

Extract values as a cell array using the values function.

values(d)

ans=4×1 cell array
    {[19-Aug-2023 13:10:40]}
    {                @myfun}
    {1x1 struct            }
    {[             1 2 3 4]}

In R2023a, lookup the contents of cells stored as values directly using curly braces ({}).

d{"numeric array"}

ans = 1×4

     1     2     3     4

Similarly, new entries of any datatype can be inserted into an existing dictionary with cell values using curly braces ({}).

d{"a new entry"} = table

d =

  dictionary (string --> cell) with 5 entries:

    "my birthday"          --> {[19-Aug-2023 13:10:40]}
    "my favorite function" --> {@myfun}
    "a structure"          --> {1x1 struct}
    "numeric array"        --> {[1 2 3 4]}
    "a new entry"          --> {0x0 table}

Create Empty Configured Dictionary

Calling dictionary without any inputs creates an unconfigured dictionary.

Create an empty configured dictionary using configureDictionary.

Before R2023b: Assign empty inputs of the desired types. For example, d = dictionary(string([]),[]).

d = configureDictionary("string","double")

d =

  dictionary (string --> double) with no entries.

This dictionary is configured and new entries can be added as long as the data types match or can be converted to the data types of the configured dictionary.

d("Unicycle") = 1;
d("Bicycle") = 2;
d("Tricycle") = 3

d =

  dictionary (string --> double) with 3 entries:

    "Unicycle" --> 1
    "Bicycle"  --> 2
    "Tricycle" --> 3

Add Entries to Unconfigured Dictionary

Create an unconfigured dictionary by calling dictionary without inputs.

d = dictionary

d =

  dictionary with unset key and value types.

When you add entries to an unconfigured dictionary, MATLAB changes it to be configured.

names = ["Unicycle" "Bicycle" "Tricycle"];
wheels = [1 2 3];
d(wheels) = names

d =

  dictionary (double --> string) with 3 entries:

    1 --> "Unicycle"
    2 --> "Bicycle"
    3 --> "Tricycle"

Version History

Introduced in R2022b

R2023b: configureDictionary Function: Create dictionaries with configured keys and values

Use configureDictionary to create an empty dictionary with specified types for keys and values.

For example, create a dictionary that is configured to accept strings as keys and doubles as values.

d = configureDictionary("string","double")

d =

  dictionary (string ⟼ double) with no entries.

R2023b: lookup, insert, and remove Functions: Manage dictionary entries

Use lookup,insert, and remove to perform basic dictionary operations.

R2023a: Lookup and assign values in cells using curly braces, {}.

Data in cells can be looked up and assigned directly using curly braces, {}. When a dictionary's values are cells, a lookup using parentheses, (), will return a cell. Accessing the contents of that cell would require indexing into that cell. Introducing curly brace access allows contents of cell values to be accessed directly. For example, the dictionary, d, has three cell values

d = 

  dictionary (double ⟼ cell) with 3 entries:

    1 ⟼ {["Hello"]}
    2 ⟼ {[4 5 6]}
    3 ⟼ {@sin}

Perform a lookup using smooth parentheses, (). The value is returned as a cell containing an array.

d(1)

ans = 

    {[4 5 6]}

Perform a lookup using curly braces, {}. The value is returned as an array.

d{1}

ans = 

    [4 5 6]

R2023a: Use Python objects as keys in dictionary

You can use Python objects as keys in dictionaries.

R2022b: Recommended over containers.map

dictionary is recommended over containers.Map because it supports more data types as keys and values and provides better performance.