I know in Julia, the index of an array begin from 1. Like
b = Array{Float64, 1}(undef, 10)
This array b is a 1d array with 10 elements. The index of b begins from 1.
But, I want an array whose index is from 0 or any integer, how to do that in Julia?
Say, I want the index ranges from 0 to 9, and I tried to do things like
b = Array{Float64, 1}(undef, 0:9)
But obviously it does not work in Julia.
Can Julia easily define an array with arbitrary index range like Fortran?
I googled a little and it seems not easy to do this in Julia, am I missing something?
Is there a generic way in Julia to define arbitrary indexed array? Or do I have to install packages like OffsetArrays?
It seems just not so great that Julia cannot generically define arbitrary indexed array.
Thanks!
In Julia, this is provided by the OffsetArrays package. Try, for example
using OffsetArrays
A = rand(10)
OA = OffsetArray(A, 0:9)
OA[0]
then
julia> OA[0]
0.26079620656304203
Related
I’m trying to count things in a Julia list with the goal of plotting a histogram. These things may be other arrays to simpler objects like Strings or Integers. My function is currently using the counter library, which works great for non-complex objects like strings or integers.
function viz(data::Vector)
counts = counter(data)
k = [x for x in keys(counts)]
v = [x for x in values(counts)]
bar(k, v./sum(v))
end
In Python, I’d just do str(x) for x in the_list To convert the inner element to strings, but I’m having trouble figuring out how to do this in Julia.
Or is there a better way to count complex objects in Julia? (I’m a beginner at Julia)
[string(x) for x in the_list]
# or
[String(x) for x in the_list]
one of them probably gives what you want
Take a look at StatsBase.countmap(x), if it does what you need.
In Julia it is possible to create arrays of any size using the functions zeros(.) or ones(.). Is there a similar function to create an array that is filled with nothing at initialization but also accepts floats? I mean a function like in this example:
a = array_of_nothing(3)
# a = [nothing,nothing,nothing]
a[1] = 3.14
# a = [3.14,nothing,nothing]
I tried to find information on internet, but without success... Sorry, I am a beginner in Julia.
The fill function can be used to create arrays of arbitrary values, but it's not so easy to use here, since you want a Vector{Union{Float64, Nothing}}. Two options come to mind:
A comprehension:
a = Union{Float64, Nothing}[nothing for _ in 1:3];
a[2] = 3.14;
>> a
3-element Array{Union{Nothing, Float64},1}:
nothing
3.14
nothing
Or ordinary array initialization:
a = Vector{Union{Float64, Nothing}}(undef, 3)
fill!(a, nothing)
a[2] = 3.14
It seems that when you do Vector{Union{Float64, Nothing}}(undef, 3) the vector automatically contains nothing, but I wouldn't rely on that, so fill! may be necessary.
I think you are looking for the Base.fill — Function.
fill(x, dims)
This creates an array filled with value x.
println(fill("nothing", (1,3)))
You can also pass a function Foo() like fill(Foo(), dims) which will return an array filled with the result of evaluating Foo() once.
Here's some toy code:
type MyType
x::Int
end
vec = [MyType(1), MyType(2), MyType(3), MyType(4)]
ids = [2, 1, 3, 1]
vec = vec[ids]
julia> vec
4-element Array{MyType,1}:
MyType(2)
MyType(1)
MyType(3)
MyType(1)
That looks fine, except for this behavior:
julia> vec[2].x = 60
60
julia> vec
4-element Array{MyType,1}:
MyType(2)
MyType(60)
MyType(3)
MyType(60)
I want to be able to rearrange the contents of a vector, with the possibility that I eliminate some values and duplicate others. But when I duplicate values, I don't want this copy behavior. Is there an "elegant" way to do this? Something like this works, but yeesh:
vec = [deepcopy(vec[ids[i]]) for i in 1:4]
The issue is that you're creating mutable types, and your vector therefore contains references to the instantiated data - so when you create a vector based on ids, you're creating what amounts to a vector of pointers to the structures. This further means that the elements in the vector with the same id are actually pointers to the same object.
There's no good way to do this without ensuring that your references are different. That either means 1) immutable types, which means you can't reassign x, or 2) copy/deepcopy.
I have an Array of arrays, called y:
y=Array(Vector{Int64}, 10)
which is basically a list of 1-dimensional arrays(10 of them), and each 1-dimensional array has length 5. Below is an example of how they are initialized:
for i in 1:10
y[i]=sample(1:20, 5)
end
Each 1-dimensional array includes 5 randomly sampled integers between 1 to 20.
Right now I am applying a map function where for each of those 1-dimensional arrays in y , excludes which numbers from 1 to 20:
map(x->setdiff(1:20, x), y)
However, I want to make sure when the function applied to y[i], if the output of setdiff(1:20, y[i]) includes i, i is excluded from the results. in other words I want a function that works like
setdiff(deleteat!(Vector(1:20),i) ,y[i])
but with map.
Mainly my question is that whether you can access the index in the map function.
P.S, I know how to do it with comprehensions, I wanted to know if it is possible to do it with map.
comprehension way:
[setdiff(deleteat!(Vector(1:20), index), value) for (index,value) in enumerate(y)]
Like this?
map(x -> setdiff(deleteat!(Vector(1:20), x[1]),x[2]), enumerate(y))
For your example gives this:
[2,3,4,5,7,8,9,10,11,12,13,15,17,19,20]
[1,3,5,6,7,8,9,10,11,13,16,17,18,20]
....
[1,2,4,7,8,10,11,12,13,14,15,16,17,18]
[1,2,3,5,6,8,11,12,13,14,15,16,17,19,20]
I would like to create an empty vector and append to it an array in Julia. How do I do that?
x = Vector{Float64}
append!(x, rand(10))
results in
`append!` has no method matching append!(::Type{Array{Float64,1}}, ::Array{Float64,1})
Thanks.
Your variable x does not contain an array but a type.
x = Vector{Float64}
typeof(x) # DataType
You can create an array as Array(Float64, n)
(but beware, it is uninitialized: it contains arbitrary values) or zeros(Float64, n),
where n is the desired size.
Since Float64 is the default, we can leave it out.
Your example becomes:
x = zeros(0)
append!( x, rand(10) )
I am somewhat new to Julia and came across this question after getting a similar error. To answer the original question for Julia version 1.2.0, all that is missing are ():
x = Vector{Float64}()
append!(x, rand(10))
This solution (unlike x=zeros(0)) works for other data types, too. For example, to create an empty vector to store dictionaries use:
d = Vector{Dict}()
push!(d, Dict("a"=>1, "b"=>2))
A note regarding use of push! and append!:
According to the Julia help, push! is used to add individual items to a collection, while append! adds an collection of items to a collection. So, the following pieces of code create the same array:
Push individual items:
a = Vector{Float64}()
push!(a, 1.0)
push!(a, 2.0)
Append items contained in an array:
a = Vector{Float64}()
append!(a, [1.0, 2.0])
You can initialize an empty Vector of any type by typing the type in front of []. Like:
Float64[] # Returns what you want
Array{Float64, 2}[] # Vector of Array{Float64,2}
Any[] # Can contain anything
New answer, for Julia 1. append! is deprecated, you now need to use push!(array, element) to add elements to an array
my_stuff = zeros()
push!(my_stuff, "new element")