networkx.algorithms.bipartite.edgelist.read_edgelist¶

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

Read a bipartite graph from a list of edges.

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.
delimiter (string, optional) – The string used to separate values. The default is whitespace.
create_using (Graph container, optional,) – Use specified container to build graph. The default is networkx.Graph, an undirected graph.
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 – A networkx Graph or other type specified with create_using

Return type

graph

Examples

>>> from networkx.algorithms import bipartite
>>> G = nx.path_graph(4)
>>> G.add_nodes_from([0, 2], bipartite=0)
>>> G.add_nodes_from([1, 3], bipartite=1)
>>> bipartite.write_edgelist(G, "test.edgelist")
>>> G = bipartite.read_edgelist("test.edgelist")

>>> fh = open("test.edgelist", "rb")
>>> G = bipartite.read_edgelist(fh)
>>> fh.close()

>>> G = bipartite.read_edgelist("test.edgelist", nodetype=int)

Edgelist with data in a list:

>>> textline = "1 2 3"
>>> fh = open("test.edgelist", "w")
>>> d = fh.write(textline)
>>> fh.close()
>>> G = bipartite.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.