Tuples
A tuple is an immutable, ordered, fixed-sized group of elements. Therefore, it is impossible to add new elements or change any tuple element's values. Tuples are created using the following syntax:
julia> t = (1, 2.0, "3")
(1, 2.0, "3")
It is possible to omit the brackets.
julia> t = 1, 2.0, "3"
(1, 2.0, "3")
The same syntax is used in function definitions to return multiple values at once. The tuple type consists of the types of all its elements.
julia> typeof(t)
Tuple{Int64, Float64, String}
In this case, we have a tuple that contains three elements: Int64
, Float64
, and String
.
To access elements of a tuple, we can use the same syntax as for arrays.
julia> t[1] # the first element
1
julia> t[end] # the last element
"3"
julia> t[1:2] # the first two elements
(1, 2.0)
A handy feature is the possibility to unpack a tuple over its values.
julia> a, b, c = t
(1, 2.0, "3")
julia> println("The values stored in the tuple are: $a, $b and $c")
The values stored in the tuple are: 1, 2.0 and 3
Arrays can be unpacked similarly. However, tuples are usually used for storing a small number of values, while arrays are typically large. Recall that while tuples are immutable, arrays are mutable.
Create a tuple that contains the first four letters of the alphabet (these letters should be of type String
). Then unpack this tuple into four variables a
, b
, c
and d
.
Solution:
Such a tuple can be created easily using the standard syntax:
julia> t = ("a", "b", "c", "d")
("a", "b", "c", "d")
We can use the four variables and the =
sign to unpack the tuple.
julia> a, b, c, d = t
("a", "b", "c", "d")
Named tuples
Named tuples are similar to tuples, i.e., a named tuple is immutable, ordered, fixed-sized group of elements. The only difference is that each element consists of a name (identifier) and a value. Named tuples are created by the following syntax:
julia> t = (a = 1, b = 2.0, c = "3")
(a = 1, b = 2.0, c = "3")
It is also possible to create a named tuple directly from variables.
julia> a = 1;
julia> b = 2.0;
julia> c = "3";
julia> t = (; a, b, c)
(a = 1, b = 2.0, c = "3")
Here the semicolon is mandatory because, without the semicolon, the result will be a tuple instead of a named tuple. Similarly to tuples, the elements of a named tuple can be accessed via square brackets. However, as opposed to tuples, it is impossible to access multiple elements at once.
julia> t[1] # the first element
1
julia> t[end] # the last element
"3"
julia> t[1:2] # error
ERROR: MethodError: no method matching getindex(::@NamedTuple{a::Int64, b::Float64, c::String}, ::UnitRange{Int64})
[...]
On the other hand, it is possible to get elements of a named tuple via their names or unpack elements directly to variables.
julia> t.a
1
julia> t.c
"3"
julia> a, b, c = t
(a = 1, b = 2.0, c = "3")
julia> println("The values stored in the tuple are: a = $a, b = $b")
The values stored in the tuple are: a = 1, b = 2.0
Dictionaries
Dictionaries are mutable, unordered (random order) collections of pairs of keys and values. The syntax for creating a dictionary is:
julia> d = Dict("a" => [1, 2, 3], "b" => 1)
Dict{String, Any} with 2 entries:
"b" => 1
"a" => [1, 2, 3]
Another possibility is to use symbols instead of strings as keys.
julia> d = Dict(:a => [1, 2, 3], :b => 1)
Dict{Symbol, Any} with 2 entries:
:a => [1, 2, 3]
:b => 1
The use of Symbol
type might be preferable in certain cases, since its core representation is different. The string "foo"
is a string literal and evaluates to the string "foo". On the other hand, Symbol
is a construct used internally to represent a variable in metaprogramming. Thanks to its internal representation, some operations (like comparison ==
) can be faster on Symbols than on Strings.
It is possible to use almost any type as a key in a dictionary. Note the element types in the dictionary, when Julia tries to infer the best type to represent keys and values.
julia> d_test = Dict(1 => "a", 2.0 => "b", 3.0f0 => "c")
Dict{Real, String} with 3 entries:
2.0 => "b"
3.0 => "c"
1 => "a"
Be aware of using correct keys. In this definition, since both key values are essentially the same, the resulting dictionary has only one key with the last value.
julia> d_test = Dict(1 => "a", 1.0 => "b", 1.0f0 => "c")
Dict{Real, String} with 1 entry:
1.0 => "c"
Dictionary's elements can be accessed via square brackets and a key.
julia> d[:a]
3-element Vector{Int64}:
1
2
3
If the key does not exist in the dictionary, an error will occur if we try to access it.
julia> d[:c]
ERROR: KeyError: key :c not found
julia> haskey(d, :c)
false
The haskey
function checks whether the dictionary has the :c
key. To avoid such errors, we can use the get
function that accepts three arguments: a dictionary, key, and a default value for this key, which is returned if the key does not exist in the dictionary.
julia> get(d, :c, 42)
42
There is also an in-place version of the get
function. The get!
function adds the default value to the dictionary if the key does not exist.
julia> get!(d, :c, 42)
42
julia> get!(d, :d, ["hello", "world"])
2-element Vector{String}:
"hello"
"world"
julia> d
Dict{Symbol, Any} with 4 entries:
:a => [1, 2, 3]
:b => 1
:d => ["hello", "world"]
:c => 42
Unwanted keys from the dictionary can be removed by the delete!
function.
julia> delete!(d, :d)
Dict{Symbol, Any} with 3 entries:
:a => [1, 2, 3]
:b => 1
:c => 42
julia> haskey(d, :d)
false
An alternative is the pop!
function, which removes the key from the dictionary, and returns the value corresponding to it.
julia> pop!(d, :c)
42
julia> haskey(d, :c)
false
Optionally, it is possible to add a default value for a given key to the pop!
function, which is returned if the key does not exist in the given dictionary.
julia> haskey(d, :c)
false
julia> pop!(d, :c, 444)
444