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ParametersReturns
read_leda(path, encoding='UTF-8')

Parameters

path : file or string

File or filename to read. Filenames ending in .gz or .bz2 will be uncompressed.

Returns

G : NetworkX graph

Read graph in LEDA format from path.

Examples

G=nx.read_leda('file.leda')

See :

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/leda.py#21
type: <class 'function'>
Commit: