def __init__(self, data=None, **attr):
# the init could be
# graph = Graph(g) where g is a Graph
# graph = Graph((v,e)) where v is Graph.v like and e is Graph.e like
# graph = Graph(({},e)) for an edgelist with no specified nodes
# others with classmethods like
# Graph.from_adjacency_matrix(m)
# Graph.from_adjacency_list(l)
#
# should abstract the data here
self._nodedata = {} # empty node attribute dict
self._adjacency = {} # empty adjacency dict
# the interface is n,e,a,data
self.n = Nodes(self._nodedata, self._adjacency) # rename to self.nodes
self.e = Edges(self._nodedata, self._adjacency) # rename to self.edges
self.a = Adjacency(self._adjacency) # rename to self.adjacency
self.data = {} # dictionary for graph attributes
# load with data
if hasattr(data,'n') and not hasattr(data,'name'): # it is a new graph
self.n.update(data.n)
self.e.update(data.e)
self.data.update(data.data)
data = None
try:
nodes,edges = data # containers of edges and nodes
self.n.update(nodes)
self.e.update(edges)
except: # old style
if data is not None:
convert.to_networkx_graph(data, create_using=self)
# load __init__ graph attribute keywords
self.data.update(attr)
def __init__(self, data=None, **attr):
# the init could be
# graph = Graph(g) where g is a Graph
# graph = Graph((v,e)) where v is Graph.v like and e is Graph.e like
# graph = Graph(({},e)) for an edgelist with no specified nodes
# others with classmethods like
# Graph.from_adjacency_matrix(m)
# Graph.from_adjacency_list(l)
#
# should abstract the data here
self._nodedata = {} # empty node attribute dict
self._adjacency = {} # empty adjacency dict
# the interface is n,e,a,data
self.n = Nodes(self._nodedata, self._adjacency) # rename to self.nodes
self.e = Edges(self._nodedata, self._adjacency) # rename to self.edges
self.a = Adjacency(self._adjacency) # rename to self.adjacency
self.data = {} # dictionary for graph attributes
# load with data
if hasattr(data, "n") and not hasattr(data, "name"): # it is a new graph
self.n.update(data.n)
self.e.update(data.e)
self.data.update(data.data)
data = None
try:
nodes, edges = data # containers of edges and nodes
self.n.update(nodes)
self.e.update(edges)
except: # old style
if data is not None:
convert.to_networkx_graph(data, create_using=self)
# load __init__ graph attribute keywords
self.data.update(attr)
def __init__(self, data=None, **attr):
self._nodes = nd = {} # fixme factory
self._mapping = nd
self._succ = succ = {} # fixme factory
self._pred = pred = {} # fixme factory
self._directed = attr.pop("directed", False)
self._multigraph = attr.pop("multigraph", False)
if self._multigraph:
myEdges = MultiEdges
myAdjacency = MultiAdjacency
myAtlasUnion = MultiAtlasUnion
else:
myEdges = Edges
myAdjacency = Adjacency
myAtlasUnion = AtlasUnion
# Interface
self.n = Nodes(self)
self.e = myEdges(self)
self.a = myAdjacency(myAtlasUnion(self._succ, self._pred))
if self._directed:
self.su = myAdjacency(self._succ)
self.pr = myAdjacency(self._pred)
else:
self.su = self.a
self.pr = self.a
# graph data attributes
self.data = attr
# Handle input
if data is None:
return
if hasattr(data, "_nodes"):
# new datadicts but with same info (containers in datadicts same)
self.data.update(data.data)
for n in data.n:
self.n.update(data.n.items())
self.e.update(data.e.items())
elif len(data) == 2:
try:
V,E = data
self.n.update(V)
self.e.update(E)
except: # something else
d=self.data.copy()
convert.to_networkx_graph(data, create_using=self)
self.data.update(d)
else:
msg = ("Graph argument must be a graph "
"or (V, E)-tuple of nodes and edges.")
raise NetworkXError(msg)
def __init__(self, data=None, **attr):
self._nodes = nd = {} # fixme factory
self._mapping = nd
self._succ = succ = {} # fixme factory
self._pred = pred = {} # fixme factory
self._directed = attr.pop("directed", False)
self._multigraph = attr.pop("multigraph", False)
if self._multigraph:
myEdges = MultiEdges
myAdjacency = MultiAdjacency
myAtlasUnion = MultiAtlasUnion
else:
myEdges = Edges
myAdjacency = Adjacency
myAtlasUnion = AtlasUnion
# Interface
self.n = Nodes(self)
self.e = myEdges(self)
self.a = myAdjacency(myAtlasUnion(self._succ, self._pred))
if self._directed:
self.su = myAdjacency(self._succ)
self.pr = myAdjacency(self._pred)
else:
self.su = self.a
self.pr = self.a
# graph data attributes
self.data = attr
# Handle input
if data is None:
return
if hasattr(data, "_nodes"):
# new datadicts but with same info (containers in datadicts same)
self.data.update(data.data)
for n in data.n:
self.n.update(data.n.items())
self.e.update(data.e.items())
elif len(data) == 2:
try:
V, E = data
self.n.update(V)
self.e.update(E)
except: # something else
d = self.data.copy()
convert.to_networkx_graph(data, create_using=self)
self.data.update(d)
else:
msg = "Graph argument must be a graph " "or (V, E)-tuple of nodes and edges."
raise NetworkXError(msg)