Beispiel #1
0
def graphname(name):
    names = [name]
    data = [pair for pair in get_tuples()]

    # make some passes through the data to accumulate connected vertices.
    for i in range(1):
        ids = [pair[0] for pair in data if pair[1] in names]
        names = [pair[1] for pair in data if pair[0] in ids]

    graph = ConcurrencyGraph()

    graph.add_dataset(data=[pair for pair in data if pair[0] in ids],
                      min_occurences=0)

    nodejs = '\n'.join(["g.addNode('%s');" % node for node in graph.gr.nodes()])
    edgejs = '\n'.join(["g.addEdge('%s', '%s');" % edge for edge in graph.gr.edges()])

    return render_template('webgraph.html', name=name, graphdatajs=Markup(nodejs+edgejs))
Beispiel #2
0
import os
import sys
from concurrency_graph import ConcurrencyGraph
from nytimes import get_tuples

if __name__ == "__main__":
    graph = ConcurrencyGraph(graph_attrs=[("sep", '"+1"'), ("outputorder", "edgesfirst"), ("overlap", "scalexy")])

    graph.add_dataset(
        data=get_tuples(),
        min_occurences=8,
        min_fontsize=4,
        max_fontsize=28,
        node_attrs=[("shape", "oval"), ("style", "filled")],
    )

    with open("graph.dot", "w") as f:
        f.write(graph.write())

    if "--draw" in sys.argv:
        print "Drawing graph with neato.."
        os.system("neato -Tgif -ograph.gif graph.dot")