GraphPlot

Plotting and visualization of graphs (networks)

Getting Started

From the Julia REPL the latest version can be installed with

Pkg.clone("git://github.com/afternone/GraphPlot.jl.git")

GraphPlot is then loaded with

using GraphPlot

Usage

karate network

g = graphfamous("karate")
gplot(g)

Add node label

using Graphs
nodelabel = [1:num_vertices(g)]
gplot(g, nodelabel=nodelabel)
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Adjust node labels

gplot(g, nodelabel=nodelabel, nodelabeldist=1.5, nodelabelangleoffset=π/4)
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Control the node size

# nodes size proportional to their degree
nodesize = [Graphs.out_degree(v, g) for v in Graphs.vertices(g)]
gplot(g, nodesize=nodesize)

Control the node color

Feed the keyword argument nodefillc a color array, ensure each node has a color. length(nodefillc) must be equal |V|.

using Colors

# Generate n maximally distinguishable colors in LCHab space.
nodefillc = distinguishable_colors(num_vertices(g), colorant"blue")
gplot(g, nodefillc=nodefillc, nodelabel=nodelabel, nodelabeldist=1.8, nodelabelangleoffset=π/4)
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Transparent

# stick out large degree nodes
alphas = nodesize/maximum(nodesize)
nodefillc = [RGBA(0.0,0.8,0.8,i) for i in alphas]
gplot(g, nodefillc=nodefillc)

Control the node label size

nodelabelsize = nodesize
gplot(g, nodelabelsize=nodelabelsize, nodesize=nodesize, nodelabel=nodelabel)
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Draw edge labels

edgelabel = [1:Graphs.num_edges(g)]
gplot(g, edgelabel=edgelabel, nodelabel=nodelabel)
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Adjust edge labels

edgelabel = [1:Graphs.num_edges(g)]
gplot(g, edgelabel=edgelabel, nodelabel=nodelabel, edgelabeldistx=0.5, edgelabeldisty=0.5)
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Color the graph

# nodes membership
membership = [1,1,1,1,1,1,1,1,2,1,1,1,1,1,2,2,1,1,2,1,2,1,2,2,2,2,2,2,2,2,2,2,2,2]
nodecolor = [colorant"lightseagreen", colorant"orange"]
# membership color
nodefillc = nodecolor[membership]
gplot(g, nodefillc=nodefillc)

Different layout

random layout

gplot(g, layout=random_layout, nodelabel=nodelabel)
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circular layout

gplot(g, layout=circular_layout, nodelabel=nodelabel)
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