Warning

This documents an unmaintained version of NetworkX. Please upgrade to a maintained version and see the current NetworkX documentation.

add_edges_from

MultiGraph.add_edges_from(ebunch, attr_dict=None, **attr)

Add all the edges in ebunch.

Parameters:

• ebunch (container of edges) –

  Each edge given in the container will be added to the graph. The edges can be:

  • 2-tuples (u,v) or
  • 3-tuples (u,v,d) for an edge attribute dict d, or
  • 4-tuples (u,v,k,d) for an edge identified by key k

• attr_dict (dictionary, optional (default= no attributes)) – Dictionary of edge attributes. Key/value pairs will update existing data associated with each edge.
• attr (keyword arguments, optional) – Edge data (or labels or objects) can be assigned using keyword arguments.

See also

add_edge()

add a single edge

add_weighted_edges_from()

convenient way to add weighted edges

Notes

Adding the same edge twice has no effect but any edge data will be updated when each duplicate edge is added.

Edge attributes specified in edges take precedence over attributes specified generally.

Examples

>>> G = nx.Graph()   # or DiGraph, MultiGraph, MultiDiGraph, etc
>>> G.add_edges_from([(0,1),(1,2)]) # using a list of edge tuples
>>> e = zip(range(0,3),range(1,4))
>>> G.add_edges_from(e) # Add the path graph 0-1-2-3

Associate data to edges

>>> G.add_edges_from([(1,2),(2,3)], weight=3)
>>> G.add_edges_from([(3,4),(1,4)], label='WN2898')