networkx.readwrite.edgelist.parse_edgelist

networkx.readwrite.edgelist.parse_edgelist(lines, comments='#', delimiter=' ', create_using=None, nodetype=None, data=True)

Parse lines of an edge list representation of a graph.

Returns :

G: NetworkX Graph :

The graph corresponding to lines

data : bool or list of (label,type) tuples

If False generate no edge data or if True use a dictionary representation of edge data or a list tuples specifying dictionary key names and types for edge data.

create_using: NetworkX graph container, optional :

Use given NetworkX graph for holding nodes or edges.

nodetype : Python type, optional

Convert nodes to this type.

comments : string, optional

Marker for comment lines

delimiter : string, optional

Separator for node labels

create_using: NetworkX graph container :

Use given NetworkX graph for holding nodes or edges.

See also

read_weighted_edgelist

Examples

Edgelist with no data:

>>> lines = ["1 2",
...          "2 3",
...          "3 4"]
>>> G = nx.parse_edgelist(lines, nodetype = int)
>>> G.nodes()
[1, 2, 3, 4]
>>> G.edges()
[(1, 2), (2, 3), (3, 4)]

Edgelist with data in Python dictionary representation:

>>> lines = ["1 2 {'weight':3}",
...          "2 3 {'weight':27}",
...          "3 4 {'weight':3.0}"]
>>> G = nx.parse_edgelist(lines, nodetype = int)
>>> G.nodes()
[1, 2, 3, 4]
>>> G.edges(data = True)
[(1, 2, {'weight': 3}), (2, 3, {'weight': 27}), (3, 4, {'weight': 3.0})]

Edgelist with data in a list:

>>> lines = ["1 2 3",
...          "2 3 27",
...          "3 4 3.0"]
>>> G = nx.parse_edgelist(lines, nodetype = int, data=(('weight',float),))
>>> G.nodes()
[1, 2, 3, 4]
>>> G.edges(data = True)
[(1, 2, {'weight': 3.0}), (2, 3, {'weight': 27.0}), (3, 4, {'weight': 3.0})]