write_sparse6(G, path, nodes=None, header=True)

Notes

The format does not support edge or node labels.

Parameters

G : Graph (undirected)

path : file or string

File or filename to write

nodes: list or iterable :

Nodes are labeled 0...n-1 in the order provided. If None the ordering given by G.nodes() is used.

header: bool :

If True add '>>sparse6<<' string to head of data

Raises

NetworkXError

If the graph is directed

Write graph G to given path in sparse6 format.

See Also

from_sparse6_bytes

read_sparse6

Examples

>>> import tempfile
>>> with tempfile.NamedTemporaryFile() as f:
...     nx.write_sparse6(nx.path_graph(2), f.name)
...     print(f.read())
b'>>sparse6<<:An\n'

>>> with tempfile.NamedTemporaryFile() as f:
...     nx.write_sparse6(nx.path_graph(2), f)
...     _ = f.seek(0)
...     print(f.read())
b'>>sparse6<<:An\n'

See :

Back References

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

networkx.readwrite.sparse6.from_sparse6_bytes

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

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GitHub : /networkx/readwrite/sparse6.py#314
type: <class 'function'>
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