Reputation: 136197
I have a Graph in Python like this one:
# Each element is a tuple with coordinates (x,y,z).
# The index is the id of the vertex
vertexList = [(0,0,0),(1,0,0),(1,1,0),(0,1,0),
(0,0,1),(1,0,1),(1,1,1),(0,1,1)]
# Each element is a tuple with the vertex-ids and a weight (vertexId1, vertexId2, weight)
edgeList = [(0,1,1), (1,2,1), (2,3,1), (3,0,1),
(0,4,1),
(4,5,1), (5,6,1), (6,7,1), (7,4,1)]
graph = (vertexList, edgeList)
This is a small example. The application I wrote uses graphs with about 100 vertexes and 300 edges.
I would like to visualize this with python, preferably with a library which is available for Ubuntu. It would be great if it were possible to move the graph in the 3D-visualisation.
What I've done so far
At the moment I use UBIGRAPH. The visualization and interaction is very good, but I can't specify coordinates for the vertexes:
def visulizeGraph(Graph):
vertexList, edgeList = Graph
server_url = 'http://127.0.0.1:20738/RPC2'
server = xmlrpclib.Server(server_url)
G = server.ubigraph;
G.clear()
for identifier, vertex in enumerate(vertexList):
G.new_vertex_w_id(identifier)
for vertex1, vertex2, weight in edgeList:
x1, y1, z1 = vertexList[vertex1]
x2, y2, z2 = vertexList[vertex2]
G.new_edge(vertex1, vertex2)
matplot
I've found matplotlib, but its very big. I didn't find an example which does what I like, but I might have missed it. Its available for Ubuntu.
vtk
The same problem as with matplot. If you could give me some working examples it might be the best solution.
Upvotes: 4
Views: 4215
Reputation: 21
I've not used this myself yet (beyond running example scripts) but mayavi2 looks promising. It comes bundled with the enthought python distribution.
Also, a little of topic as it's not in your question, but networkx is pretty nice if your working with graphs in python.
Hope this helps a bit.
Upvotes: 2