本文整理汇总了Python中pygraphviz.AGraph.edges方法的典型用法代码示例。如果您正苦于以下问题：Python AGraph.edges方法的具体用法？Python AGraph.edges怎么用？Python AGraph.edges使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类pygraphviz.AGraph的用法示例。
在下文中一共展示了AGraph.edges方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: get_graphviz
# 需要导入模块: from pygraphviz import AGraph [as 别名]
# 或者: from pygraphviz.AGraph import edges [as 别名]
def get_graphviz(self, triple_hook=graphviz_triple_hook,
node_hook=graphviz_node_hook,
theme_options=VIS_THEME_OPTIONS, **hook_options):
"""
Create a pygraphviz graph from the tree
@param triple_hook: a function that returns an attribute dict (or None)
given a triple and the kargs
@param node_hook: a function that returns a label given a node
and the kargs
@param theme_options: a dict-of-dicts containing global
graph/node/edge attributes
@param hook_options: additional arguments to pass to the hook functions
"""
def _id(node):
return node.uri.split("/")[-1]
g = AGraph(directed=True, strict=False)
triples = list(self.get_triples())
# create nodes
nodeset = set(chain.from_iterable((t.subject, t.object)
for t in triples))
for n in sorted(nodeset, key=lambda n:n.id):
g.add_node(_id(n), **node_hook(n, **hook_options))
connected = set()
# create edges
for triple in sorted(triples, key=lambda t:t.predicate):
kargs = triple_hook(triple, **hook_options)
if kargs:
if kargs.get('reverse'):
g.add_edge(_id(triple.object), _id(triple.subject), **kargs)
else:
g.add_edge(_id(triple.subject), _id(triple.object), **kargs)
connected |= {_id(triple.subject), _id(triple.object)}
connected = chain.from_iterable(g.edges())
for isolate in set(g.nodes()) - set(connected):
g.remove_node(isolate)
# some theme options
for obj, attrs in theme_options.iteritems():
for k, v in attrs.iteritems():
getattr(g, "%s_attr" % obj)[k] = v
return g示例2: igraph_from_dot
# 需要导入模块: from pygraphviz import AGraph [as 别名]
# 或者: from pygraphviz.AGraph import edges [as 别名]
def igraph_from_dot(file):
"""numbered_graph(file) -> graph
Input:
file: the name of the dot-file
Output:
graph: igraph.Graph object. Verticies has the attribute
"name".
"""
print("Step 1/3: Reading from dot.")
a=AGraph(file)
vertices = a.nodes()
edges = a.edges()
numbered_edges = []
print("Step 2/3: To numbered graph. Be patient...")
for x, y in edges:
xx = vertices.index(x)
yy = vertices.index(y)
numbered_edges.append((xx,yy))
print("Step 3/3: To igraph.")
g=igraph.Graph(len(vertices), numbered_edges)
g.vs["name"]=vertices
return g