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arraysjuliabroadcastingelementwise-operations
Julien
Julien

Reputation: 781

Julia - Multiplication of values in an array

If I have an array A with random values, I would like define an array B with, for each i in length A, B[i] = (A[i])²

First, I tried the following code:

using Distributions

A = rand(Uniform(1,10),1,20)

B = A

for i in 1:20
       B[i] = (A[i])^2
end

After these operations, I have A = B 

A
1×20 Array{Float64,2}:
 26.0478  5.36654  99.675  23.18  …  1.54846  91.3444  9.41496  2.91666

B
1×20 Array{Float64,2}:
 26.0478  5.36654  99.675  23.18  …  1.54846  91.3444  9.41496  2.91666

So I tried an other method:

B = A^2

There is the following error:

ERROR: DimensionMismatch("A has dimensions (1,20) but B has dimensions (1,20)")

If I do, for instance, B = 2*A it works fine...

Some ideas to help ?

Thank you

Upvotes: 3

Views: 3408

Answers (1)

niczky12
niczky12

Reputation: 5073

I think the easiest solution here is to use broadcasting via ..

julia> A = rand(Uniform(1,10),1,20)
1×20 Array{Float64,2}:
 8.84251  1.90331  8.5116  2.50216  …  1.67195  9.68628  4.05879  1.50231

julia> B = A .^ 2
1×20 Array{Float64,2}:
 78.19  3.62257  72.4473  6.26081  …  2.7954  93.8241  16.4738  2.25693

This gives you what you expect:

julia> A
1×20 Array{Float64,2}:
 8.84251  1.90331  8.5116  2.50216  …  1.67195  9.68628  4.05879  1.50231

julia> B
1×20 Array{Float64,2}:
 78.19  3.62257  72.4473  6.26081  …  2.7954  93.8241  16.4738  2.25693

This . operator works with any function and what it does it broadcasts (applies) all the function to each and every element of the array/object.

Here's an example with a custom function:

julia> my_func(a) = a * 5
my_func (generic function with 1 method)

julia> my_func.(1:5)
5-element Array{Int64,1}:
  5
 10
 15
 20
 25

Have a look at the docs for more info.

Upvotes: 5

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