Thank you, Benjamin! I was wondering if Graphs had something like function "graph.adjacency" in Igraph library ( http://www.inside-r.org/packages/cran/igraph/docs/graph.adjacency). But your suggestion is very good for what I am doing. Thank you, indeed!!
Best regards, Charles On Sun, Jul 6, 2014 at 3:21 PM, Benjamin Lind <[email protected]> wrote: > There are a few ways to do it. I prefer to make arrays of the vertices and > then the edges and enter them into the graph function. For example: > > mat=rand(4,4) > > nnodes = size(mat, 1) > nedges = nnodes * (nnodes - 1) > vlist = Array(KeyVertex{Int64}, nnodes) > for i = 1:nnodes > vlist[i] = KeyVertex(i, i) > end > ecounter = 1 > elist = Array(ExEdge{typeof(vlist[1])}, nedges) > for i = 1:nnodes > for j = 1:nnodes > if i != j > elist[ecounter] = ExEdge(ecounter, vlist[i], vlist[j]) > elist[ecounter].attributes["distance"] = mat[i, j] > ecounter += 1 > end > end > end > > g = graph(vlist, elist, is_directed = true) > > On Sunday, July 6, 2014 12:09:50 PM UTC+4, Charles Santana wrote: > >> Just to complete the information. I am using Julia Version >> 0.3.0-prerelease+3841 (2014-06-22 11:24 UTC) >> >> Charles >> >> >> On Sun, Jul 6, 2014 at 1:32 AM, Charles Novaes de Santana < >> [email protected]> wrote: >> >>> Dear all, >>> >>> I am starting to use Graphs.jl and some simple questions arrived. It is >>> not clear for me how to create a Graph from my data if my data is in a >>> matrix format, for example. >>> >>> The documentation is plenty of information about how the classes, types, >>> and algorithms are defined, and they also provide some good examples to use >>> these functions once you have a graph object. But I couldn't find a clear >>> example about how to create a graph from my data. Let's suppose my data is >>> the matrix 'mat' (representing the distances between each pair of nodes in >>> my graph), as defined below: >>> >>> julia> mat=rand(4,4); >>> >>> julia> for i in 1:4 >>> mat[i,i]=0; >>> end >>> >>> julia> mat >>> 4x4 Array{Float64,2}: >>> 0.0 0.310287 0.497059 0.0472071 >>> 0.624904 0.0 0.256988 0.675347 >>> 0.305605 0.504063 0.0 0.915409 >>> 0.85426 0.145528 0.055314 0.0 >>> >>> Please forgive me if this information has been asked before and I didn't >>> find the correct reference. I would much appreciate any help. >>> >>> Best wishes, >>> >>> Charles >>> >>> -- >>> Um axé! :) >>> >>> -- >>> Charles Novaes de Santana, PhD >>> http://www.imedea.uib-csic.es/~charles >>> >> >> >> >> -- >> Um axé! :) >> >> -- >> Charles Novaes de Santana, PhD >> http://www.imedea.uib-csic.es/~charles >> > -- Um axé! :) -- Charles Novaes de Santana, PhD http://www.imedea.uib-csic.es/~charles
