[Arrays](@id lib-arrays)

Constructors and Types

@docs

Core.AbstractArray
Base.AbstractVector
Base.AbstractMatrix
Base.AbstractVecOrMat
Core.Array
Core.Array(::UndefInitializer, ::Any)
Core.Array(::Nothing, ::Any)
Core.Array(::Missing, ::Any)
Core.UndefInitializer
Core.undef
Base.Vector
Base.Vector(::UndefInitializer, ::Any)
Base.Vector(::Nothing, ::Any)
Base.Vector(::Missing, ::Any)
Base.Matrix
Base.Matrix(::UndefInitializer, ::Any, ::Any)
Base.Matrix(::Nothing, ::Any, ::Any)
Base.Matrix(::Missing, ::Any, ::Any)
Base.VecOrMat
Core.DenseArray
Base.DenseVector
Base.DenseMatrix
Base.DenseVecOrMat
Base.StridedArray
Base.StridedVector
Base.StridedMatrix
Base.StridedVecOrMat
Base.GenericMemory
Base.Memory
Base.memoryref
Base.Slices
Base.RowSlices
Base.ColumnSlices
Base.getindex(::Type, ::Any...)
Base.zeros
Base.ones
Base.BitArray
Base.BitArray(::UndefInitializer, ::Integer...)
Base.BitArray(::Any)
Base.trues
Base.falses
Base.fill
Base.fill!
Base.empty
Base.similar

Basic functions

@docs

Base.ndims
Base.size
Base.axes(::Any)
Base.axes(::AbstractArray, ::Any)
Base.length(::AbstractArray)
Base.keys(::AbstractArray)
Base.eachindex
Base.IndexStyle
Base.IndexLinear
Base.IndexCartesian
Base.conj!
Base.stride
Base.strides

Broadcast and vectorization

See also the [dot syntax for vectorizing functions](@ref man-vectorized); for example, f.(args...) implicitly calls broadcast(f, args...). Rather than relying on "vectorized" methods of functions like sin to operate on arrays, you should use sin.(a) to vectorize via broadcast.

@docs

Base.broadcast
Base.Broadcast.broadcast!
Base.@__dot__
Base.Broadcast.BroadcastFunction

For specializing broadcast on custom types, see

@docs

Base.BroadcastStyle
Base.Broadcast.AbstractArrayStyle
Base.Broadcast.ArrayStyle
Base.Broadcast.DefaultArrayStyle
Base.Broadcast.broadcastable
Base.Broadcast.combine_axes
Base.Broadcast.combine_styles
Base.Broadcast.result_style

Indexing and assignment

@docs

Base.getindex(::AbstractArray, ::Any...)
Base.setindex!(::AbstractArray, ::Any, ::Any...)
Base.nextind
Base.prevind
Base.copyto!(::AbstractArray, ::CartesianIndices, ::AbstractArray, ::CartesianIndices)
Base.copy!
Base.isassigned
Base.Colon
Base.CartesianIndex
Base.CartesianIndices
Base.Dims
Base.LinearIndices
Base.to_indices
Base.checkbounds
Base.checkindex
Base.elsize

While most code can be written in an index-agnostic manner (see, e.g., eachindex), it can sometimes be useful to explicitly check for offset axes:

@docs

Base.require_one_based_indexing
Base.has_offset_axes

Views (SubArrays and other view types)

A “view” is a data structure that acts like an array (it is a subtype of AbstractArray), but the underlying data is actually part of another array.

For example, if x is an array and v = @view x[1:10], then v acts like a 10-element array, but its data is actually accessing the first 10 elements of x. Writing to a view, e.g. v[3] = 2, writes directly to the underlying array x (in this case modifying x[3]).

Slicing operations like x[1:10] create a copy by default in Julia. @view x[1:10] changes it to make a view. The @views macro can be used on a whole block of code (e.g. @views function foo() .... end or @views begin ... end) to change all the slicing operations in that block to use views. Sometimes making a copy of the data is faster and sometimes using a view is faster, as described in the [performance tips](@ref man-performance-views).

@docs

Base.view
Base.@view
Base.@views
Base.parent
Base.parentindices
Base.selectdim
Base.reinterpret
Base.reshape
Base.insertdims
Base.dropdims
Base.vec
Base.SubArray

Concatenation and permutation

@docs

Base.cat
Base.vcat
Base.hcat
Base.hvcat
Base.hvncat
Base.stack
Base.vect
Base.circshift
Base.circshift!
Base.circcopy!
Base.findall(::Any)
Base.findall(::Function, ::Any)
Base.findfirst(::Any)
Base.findfirst(::Function, ::Any)
Base.findlast(::Any)
Base.findlast(::Function, ::Any)
Base.findnext(::Any, ::Integer)
Base.findnext(::Function, ::Any, ::Integer)
Base.findprev(::Any, ::Integer)
Base.findprev(::Function, ::Any, ::Integer)
Base.permutedims
Base.permutedims!
Base.PermutedDimsArray
Base.promote_shape

Array functions

@docs

Base.accumulate
Base.accumulate!
Base.cumprod
Base.cumprod!
Base.cumsum
Base.cumsum!
Base.diff
Base.repeat
Base.rot180
Base.rotl90
Base.rotr90
Base.mapslices
Base.eachrow
Base.eachcol
Base.eachslice

Combinatorics

@docs

Base.invperm
Base.isperm
Base.permute!(::Any, ::AbstractVector)
Base.invpermute!
Base.reverse(::AbstractVector; kwargs...)
Base.reverseind
Base.reverse!