code
stringlengths
3
6.57k
zip(range(0,3)
range(1,4)
G.add_edges_from(e)
G.add_edges_from([(1,2)
G.add_edges_from([(3,4)
attr_dict.update(attr)
len(e)
hasattr(dd,"update")
self.adjlist_dict_factory()
self.adjlist_dict_factory()
self.adjlist_dict_factory()
self.adjlist_dict_factory()
get(v,self.edge_attr_dict_factory()
datadict.update(attr_dict)
datadict.update(dd)
remove_edge(self, u, v)
nx.Graph()
G.add_path([0,1,2,3])
G.remove_edge(0,1)
G.remove_edge(*e)
G.remove_edge(*e[:2])
NetworkXError("The edge %s-%s not in graph."%(u,v)
remove_edges_from(self, ebunch)
tuples (u,v)
tuples (u,v,k)
nx.Graph()
G.add_path([0,1,2,3])
G.remove_edges_from(ebunch)
has_successor(self, u, v)
return (u in self.succ and v in self.succ[u])
has_predecessor(self, u, v)
return (u in self.pred and v in self.pred[u])
successors_iter(self,n)
neighbors_iter()
successors_iter()
iter(self.succ[n])
NetworkXError("The node %s is not in the digraph."%(n,)
predecessors_iter(self,n)
iter(self.pred[n])
NetworkXError("The node %s is not in the digraph."%(n,)
successors(self, n)
neighbors()
successors()
list(self.successors_iter(n)
predecessors(self, n)
list(self.predecessors_iter(n)
edges_iter(self, nbunch=None, data=False, default=None)
order (node, neighbor, data)
optional (default= all nodes)
optional (default=False)
tuple (u,v,ddict[data])
tuple (u,v,ddict)
tuple (u,v)
optional (default=None)
of (u,v)
or (u,v,d)
be (quietly)
nx.DiGraph()
G.add_path([0,1,2])
G.add_edge(2,3,weight=5)
G.edges_iter()
list(G.edges_iter(data=True)
list(G.edges_iter(data='weight', default=1)
list(G.edges_iter([0,2])
list(G.edges_iter(0)
self.adj.items()
self.nbunch_iter(nbunch)
nbrs.items()
yield (n,nbr,ddict)
nbrs.items()
yield (n,nbr,d)
yield (n,nbr)
in_edges_iter(self, nbunch=None, data=False)
optional (default= all nodes)
optional (default=False)
tuple (u,v,data)
of (u,v)
or (u,v,d)
self.pred.items()
self.nbunch_iter(nbunch)
nbrs.items()
yield (nbr,n,data)
yield (nbr,n)
in_edges(self, nbunch=None, data=False)
list(self.in_edges_iter(nbunch, data)
degree_iter(self, nbunch=None, weight=None)
for (node, degree)
optional (default=all nodes)
optional (default=None)
of (node, degree)
nx.DiGraph()
G.add_path([0,1,2,3])
list(G.degree_iter(0)
list(G.degree_iter([0,1])
zip(iter(self.succ.items()
iter(self.pred.items()
self.nbunch_iter(nbunch)
self.nbunch_iter(nbunch)
for (n,succ)
yield (n,len(succ)