I did the loop. Is there a faster solution?
julia> o45
835969x26 Array{Int64,2}:
0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0
930070 1478343 1480581 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
21474836496 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
4296445417 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
...
1448463 1475452 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
1379907 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0
julia> o45a = (Int=>eltype(o45))[j => i for (i,j) in
enumerate(unique(o45))];
julia> o45_output=zeros(o45);
julia> k,l =size(o45_output)
(835969,26)
julia> @time for j=1:l, i=1:k;
o45_output[i,j]=get(o45a,o45[i,j],0);
end;
elapsed time: 7.418340987 seconds (1435414160 bytes allocated, 6.41% gc
time)
julia> o45_output=o45_output.-1; #makes thrue zeros
Paul
W dniu 2014-12-10 o 21:41, Paul Analyst pisze:
Thx, but not work,
julia> JJ=hcat(J,J);
julia> JJa = (Int=>eltype(JJ))[j => i for (i,j) in enumerate(unique(JJ))];
julia> JJcodes = Int64[JJa[j] for j in JJ];
julia> convert(Array{Int, 2}, Jcodes)
ERROR: `convert` has no method matching
convert(::Type{Array{Int64,2}}, ::Array{Int64,1})
in convert at base.jl:13
julia> convert(Array{Int64, 2}, Jcodes)
ERROR: `convert` has no method matching
convert(::Type{Array{Int64,2}}, ::Array{Int64,1})
in convert at base.jl:13
julia> convert(Array{Int, 2}, JJcodes)
ERROR: `convert` has no method matching
convert(::Type{Array{Int64,2}}, ::Array{Int64,1})
in convert at base.jl:13
julia> convert(Array{Int64, 2}, JJcodes)
ERROR: `convert` has no method matching
convert(::Type{Array{Int64,2}}, ::Array{Int64,1})
in convert at base.jl:13
julia> convert(Matrix{Int}, JJcodes)
ERROR: `convert` has no method matching
convert(::Type{Array{Int64,2}}, ::Array{Int64,1})
in convert at base.jl:13
julia> convert(Matrix{Int64}, JJcodes)
ERROR: `convert` has no method matching
convert(::Type{Array{Int64,2}}, ::Array{Int64,1})
in convert at base.jl:13
julia>
Paul
W dniu 2014-12-10 o 18:21, Sean Marshallsay pisze:
Vector{T} is just a typealias for Array{T, 1} so it's still an array
but limited to one dimension. Your problem can be solved with
|
convert(Array{Int,2},Jcodes)
|
or equivalently
|
convert(Matrix{Int},Jcodes)
|
On Wednesday, 10 December 2014 11:09:55 UTC, paul analyst wrote:
And how to do it if the "J" is an array rather than a vector? So
that was also Jcodes array of the same size as J?
julia> J
1557211x2 Array{Int64,2}:
930070 930070
1475172 1475172
... .....
21474836496 21474836496
4296445417 4296445417
Paul
W dniu 2014-12-04 o 19:03, Steven G. Johnson pisze:
It sounds like you have an array J and you want to map each
element of J to a unique integer in 1:N for N as small as
possible? This will do it:
d = (Int=>eltype(J))[j => i for (i,j) in enumerate(unique(J))]
Jcodes = [d[j] for j in J]
Here, d is a dictionary mapping integers in 1:N to the
corresponding values in J, and Jcodes is the "re-coded" array.
