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write_multiline_adjlist(G, path, delimiter=' ', comments='#', encoding='utf-8')

Parameters

G : NetworkX graph
path : string or file

Filename or file handle to write to. Filenames ending in .gz or .bz2 will be compressed.

comments : string, optional

Marker for comment lines

delimiter : string, optional

Separator for node labels

encoding : string, optional

Text encoding.

Write the graph G in multiline adjacency list format to path

See Also

read_multiline_adjlist

Examples

>>> G = nx.path_graph(4)
... nx.write_multiline_adjlist(G, "test.adjlist")

The path can be a file handle or a string with the name of the file. If a file handle is provided, it has to be opened in 'wb' mode.

>>> fh = open("test.adjlist", "wb")
... nx.write_multiline_adjlist(G, fh)

Filenames ending in .gz or .bz2 will be compressed.

>>> nx.write_multiline_adjlist(G, "test.adjlist.gz")
See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

networkx.readwrite.multiline_adjlist.write_multiline_adjlist networkx.readwrite.multiline_adjlist.read_multiline_adjlist networkx.readwrite.multiline_adjlist.generate_multiline_adjlist

Local connectivity graph

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


GitHub : /networkx/readwrite/multiline_adjlist.py#136
type: <class 'function'>
Commit: