parse_multiline_adjlist(lines, comments='#', delimiter=None, create_using=None, nodetype=None, edgetype=None)
Input data in multiline adjlist format
Graph type to create. If graph instance, then cleared before populated.
Convert nodes to this type.
Convert edges to this type.
Marker for comment lines
Separator for node labels. The default is whitespace.
The graph corresponding to the lines in multiline adjacency list format.
Parse lines of a multiline adjacency list representation of a graph.
>>> lines = [See :
... "1 2",
... "2 {'weight':3, 'name': 'Frodo'}",
... "3 {}",
... "2 1",
... "5 {'weight':6, 'name': 'Saruman'}",
... ]
... G = nx.parse_multiline_adjlist(iter(lines), nodetype=int)
... list(G) [1, 2, 3, 5]
The following pages refer to to this document either explicitly or contain code examples using this.
networkx.readwrite.multiline_adjlist.parse_multiline_adjlist
Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.
Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)
SVG is more flexible but power hungry; and does not scale well to 50 + nodes.
All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them