I know that it is possible to convert a Float64
into an Int64
using the convert
function.
Unfortunately, it doesn't work when applying convert
to a 2-D array.
julia> convert(Int64, 2.0)
2
julia> A = [1.0 2.0; 3.0 4.0]
2x2 Array{Float64,2}:
1.0 2.0
3.0 4.0
julia> convert(Int64, A)
ERROR: `convert` has no method matching convert(::Type{Int64}, ::Array{Float64,2
})
in convert at base.jl:13
How do I convert a 2-D array of floats into a 2-D array of ints?
I could do it using the following code, which is a little verbose but it works. I am hoping there is an easier way to do it though.
julia> A = [1.0 2.0; 3.0 4.0]
2x2 Array{Float64,2}:
1.0 2.0
3.0 4.0
julia> B = Array(Int64, 2, 2)
2x2 Array{Int64,2}:
4596199964293150115 4592706631984861405
4604419156384151675 0
julia> for i = 1:2
for j = 1:2
B[i,j] = convert(Int64,A[i,j])
end
end
julia> B
2x2 Array{Int64,2}:
1 2
3 4
_
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_ _ _| |_ __ _ | Type "help()" for help.
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julia> A = [1.2 3.4; 5.6 7.8]
2x2 Array{Float64,2}:
1.2 3.4
5.6 7.8
julia> round(Int64, A)
ERROR: `round` has no method matching round(::Type{Int64}, ::Array{Float64,2})
You can convert a 2x2 array of floats into a 2x2 array of ints very easily, after you decide how you want rounding to be handled:
julia> A = [1.0 -0.3; 3.9 4.5]
2x2 Array{Float64,2}:
1.0 -0.3
3.9 4.5
julia> round.(Int, A)
2x2 Array{Int64,2}:
1 0
4 4
julia> floor.(Int, A)
2x2 Array{Int64,2}:
1 -1
3 4
julia> trunc.(Int, A)
2x2 Array{Int64,2}:
1 0
3 4
julia> ceil.(Int, A)
2x2 Array{Int64,2}:
1 0
4 5
You can use map, which preserves the matrix dimensions, and does not depend on vectorized methods:
julia> x = rand(2,2)
2x2 Array{Float64,2}:
0.279777 0.610333
0.277234 0.947914
julia> map(y->round(Int,y), x)
2x2 Array{Int64,2}:
0 1
0 1
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