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read_edgelist(path, comments='#', delimiter=None, create_using=None, nodetype=None, data=True, edgetype=None, encoding='utf-8')

Notes

Since nodes must be hashable, the function nodetype must return hashable types (e.g. int, float, str, frozenset - or tuples of those, etc.)

Parameters

path : file or string

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.

comments : string, optional

The character used to indicate the start of a comment. To specify that no character should be treated as a comment, use comments=None .

delimiter : string, optional

The string used to separate values. The default is whitespace.

create_using : NetworkX graph constructor, optional (default=nx.Graph)

Graph type to create. If graph instance, then cleared before populated.

nodetype : int, float, str, Python type, optional

Convert node data from strings to specified type

data : bool or list of (label,type) tuples

Tuples specifying dictionary key names and types for edge data

edgetype : int, float, str, Python type, optional OBSOLETE

Convert edge data from strings to specified type and use as 'weight'

encoding: string, optional :

Specify which encoding to use when reading file.

Returns

G : graph

A networkx Graph or other type specified with create_using

Read a graph from a list of edges.

See Also

parse_edgelist
write_edgelist

Examples

>>> nx.write_edgelist(nx.path_graph(4), "test.edgelist")
... G = nx.read_edgelist("test.edgelist")
>>> fh = open("test.edgelist", "rb")
... G = nx.read_edgelist(fh)
... fh.close()
>>> G = nx.read_edgelist("test.edgelist", nodetype=int)
... G = nx.read_edgelist("test.edgelist", create_using=nx.DiGraph)

Edgelist with data in a list:

>>> textline = "1 2 3"
... fh = open("test.edgelist", "w")
... d = fh.write(textline)
... fh.close()
... G = nx.read_edgelist("test.edgelist", nodetype=int, data=(("weight", float),))
... list(G) [1, 2]
>>> list(G.edges(data=True))
[(1, 2, {'weight': 3.0})]

See parse_edgelist() for more examples of formatting.

See :

Back References

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

networkx.readwrite.edgelist.read_edgelist networkx.readwrite.edgelist.write_edgelist networkx.readwrite.edgelist.write_weighted_edgelist

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/edgelist.py#299
type: <class 'function'>
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