Graph layout and visualization algorithms based on Compose.jl and inspired by GraphLayout.jl.
The spring_layout and stressmajorize_layout function are copy from IainNZ's GraphLayout.jl.
Other layout algorithms are wrapped from NetworkX.
gadfly.js is copied from Gadfly.jl
From the Julia REPL the latest version can be installed with
GraphPlot is then loaded with
using Graphs: smallgraph g = smallgraph(:karate) gplot(g)
using Graphs nodelabel = 1:nv(g) gplot(g, nodelabel=nodelabel)
gplot(g, nodelabel=nodelabel, nodelabeldist=1.5, nodelabelangleoffset=π/4)
# nodes size proportional to their degree nodesize = [Graphs.outdegree(g, v) for v in Graphs.vertices(g)] gplot(g, nodesize=nodesize)
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(nv(g), colorant"blue") gplot(g, nodefillc=nodefillc, nodelabel=nodelabel, nodelabeldist=1.8, nodelabelangleoffset=π/4)
# 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)
edgelabel = 1:Graphs.ne(g) gplot(g, edgelabel=edgelabel, nodelabel=nodelabel)
edgelabel = 1:Graphs.ne(g) gplot(g, edgelabel=edgelabel, nodelabel=nodelabel, edgelabeldistx=0.5, edgelabeldisty=0.5)
# 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)
This is the defaut layout and will be chosen if no layout is specified. The default parameters to the spring layout algorithm can be changed by supplying an anonymous function, e.g., if nodes appear clustered too tightly together, try
layout=(args...)->spring_layout(args...; C=20) gplot(g, layout=layout, nodelabel=nodelabel)
where C influences the desired distance between nodes.
gplot(g, layout=random_layout, nodelabel=nodelabel)
gplot(g, layout=circular_layout, nodelabel=nodelabel)
gplot(g, layout=spectral_layout)
nlist = Vector{Vector{Int}}(undef, 2) # two shells
nlist[1] = 1:5 # first shell
nlist[2] = 6:nv(g) # second shell
locs_x, locs_y = shell_layout(g, nlist)
gplot(g, locs_x, locs_y, nodelabel=nodelabel)
gplot(g, linetype="curve")
When using an IDE such as VSCode, Cairo.jl is required to visualize the plot inside the IDE. When using the REPL, gplothtml will allow displaying the plot on a browser.
using Compose
# save to pdf
draw(PDF("karate.pdf", 16cm, 16cm), gplot(g))
# save to png
draw(PNG("karate.png", 16cm, 16cm), gplot(g))
# save to svg
draw(SVG("karate.svg", 16cm, 16cm), gplot(g))
# alternate way of saving to svg without loading Compose
saveplot(gplot(g, plot_size = (16cm, 16cm)), "karate.svg")
using Graphs h = watts_strogatz(50, 6, 0.3) gplot(h)
G Graph to drawlocs_x, locs_y Locations of the nodes (will be normalized and centered). If not specified, will be obtained from layout kwarg.layout Layout algorithm: random_layout, circular_layout, spring_layout, shell_layout, stressmajorize_layout, spectral_layout. Default: spring_layouttitle Plot title. Default: ""title_color Plot title color. Default: colorant"black"title_size Plot title size. Default: 4.0font_family Font family for all text. Default: "Helvetica"NODESIZE Max size for the nodes. Default: 3.0/sqrt(N)nodesize Relative size for the nodes, can be a Vector. Default: 1.0nodelabel Labels for the vertices, a Vector or nothing. Default: nothingnodelabelc Color for the node labels, can be a Vector. Default: colorant"black"nodelabeldist Distances for the node labels from center of nodes. Default: 0.0nodelabelangleoffset Angle offset for the node labels. Default: π/4.0NODELABELSIZE Largest fontsize for the vertice labels. Default: 4.0nodelabelsize Relative fontsize for the vertice labels, can be a Vector. Default: 1.0nodefillc Color to fill the nodes with, can be a Vector. Default: colorant"turquoise"nodestrokec Color for the nodes stroke, can be a Vector. Default: nothingnodestrokelw Line width for the nodes stroke, can be a Vector. Default: 0.0edgelabel Labels for the edges, a Vector or nothing. Default: []edgelabelc Color for the edge labels, can be a Vector. Default: colorant"black"edgelabeldistx, edgelabeldisty Distance for the edge label from center of edge. Default: 0.0EDGELABELSIZE Largest fontsize for the edge labels. Default: 4.0edgelabelsize Relative fontsize for the edge labels, can be a Vector. Default: 1.0EDGELINEWIDTH Max line width for the edges. Default: 0.25/sqrt(N)edgelinewidth Relative line width for the edges, can be a Vector. Default: 1.0edgestrokec Color for the edge strokes, can be a Vector. Default: colorant"lightgray"arrowlengthfrac Fraction of line length to use for arrows. Equal to 0 for undirected graphs. Default: 0.1 for the directed graphsarrowangleoffset Angular width in radians for the arrows. Default: π/9 (20 degrees)linetype Type of line used for edges ("straight", "curve"). Default: "straight"outangle Angular width in radians for the edges (only used if linetype = "curve). Default: π/5 (36 degrees)background_color Color for the plot background. Default: nothingplot_size Tuple of measures for width x height of plot area. Default: (10cm, 10cm)leftpad, rightpad, toppad, bottompad Padding for the plot margins. Default: 0mmpad Padding for plot margins (overrides individual padding if given). Default: nothingFiling an issue to report a bug, counterintuitive behavior, or even to request a feature is extremely valuable in helping me prioritize what to work on, so don't hestitate.
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