SVG Hiveplot Python API
Project description
A nice way of visualizing complex networks are Hiveplots.
This library uses svgwrite to programbatically create images like this one:
A short example
Create a plot from a network, randomly selecting whichever axis to place 50 nodes.:
from pyveplot import * import networkx, random # a network g = networkx.barabasi_albert_graph(50, 2) # our hiveplot object h = Hiveplot( 'short_example.svg') # start end axis0 = Axis( (200,200), (200,100), stroke="grey") axis1 = Axis( (200,200), (300,300), stroke="blue") axis2 = Axis( (200,200), (10,310), stroke="black") h.axes = [ axis0, axis1, axis2 ] # randomly distribute nodes in axes for n in g.nodes(): node = Node(n) random.choice( h.axes ).add_node( node, random.random() ) for e in g.edges(): if (e[0] in axis0.nodes) and (e[1] in axis1.nodes): # edges from axis0 to axis1 h.connect(axis0, e[0], 45, axis1, e[1], -45, fill='none', stroke_width='0.34', stroke_opacity='0.4', stroke='purple') elif (e[0] in axis0.nodes) and (e[1] in axis2.nodes): # edges from axis0 to axis2 h.connect(axis0, e[0], -45, axis2, e[1], 45, fill='none', stroke_width='0.34', stroke_opacity='0.4', stroke='red') elif (e[0] in axis1.nodes) and (e[1] in axis2.nodes): # edges from axis1 to axis2 h.connect(axis1, e[0], 15, axis2, e[1], -15, fill='none', stroke_width='0.34', stroke_opacity='0.4', stroke='magenta') h.save()
The more elaborate example.py shows how to use shapes for nodes, placement of the control points and attributes of edges, and the attributes of axes.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
pyveplot-0.3.tar.gz
(3.0 kB
view hashes)