read_weighted_edgelist(path, comments='#', delimiter=None, create_using=None, nodetype=None, encoding='utf-8')
Since nodes must be hashable, the function nodetype must return hashable types (e.g. int, float, str, frozenset - or tuples of those, etc.)
Example edgelist file format.
With numeric edge data:
# read with # >>> G=nx.read_weighted_edgelist(fh) # source target data a b 1 a c 3.14159 d e 42
File or filename to read. If a file is provided, it must be opened in 'rb' mode. Filenames ending in .gz or .bz2 will be uncompressed.
The character used to indicate the start of a comment.
The string used to separate values. The default is whitespace.
Graph type to create. If graph instance, then cleared before populated.
Convert node data from strings to specified type
Specify which encoding to use when reading file.
A networkx Graph or other type specified with create_using
Read a graph as list of edges with numeric weights.
The following pages refer to to this document either explicitly or contain code examples using this.
networkx.readwrite.edgelist.parse_edgelist
networkx.readwrite.edgelist.write_weighted_edgelist
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