read_multiline_adjlist

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

Read graph in multi-line adjacency list format from path.

Parameters :

path : string or file

Filename or file handle to read. Filenames ending in .gz or .bz2 will be uncompressed.

create_using: NetworkX graph container :

Use given NetworkX graph for holding nodes or edges.

nodetype : Python type, optional

Convert nodes to this type.

edgetype : Python type, optional

Convert edge data to this type.

comments : string, optional

Marker for comment lines

delimiter : string, optional

Separator for node labels. The default is whitespace.

create_using: NetworkX graph container :

Use given NetworkX graph for holding nodes or edges.

Returns :

G: NetworkX graph :

See also

write_multiline_adjlist

Notes

This format does not store graph, node, or edge data.

Examples

>>> G=nx.path_graph(4)
>>> nx.write_multiline_adjlist(G,"test.adjlist")
>>> G=nx.read_multiline_adjlist("test.adjlist")

The path can be a file or a string with the name of the file. If a file s provided, it has to be opened in ‘rb’ mode.

>>> fh=open("test.adjlist", 'rb')
>>> G=nx.read_multiline_adjlist(fh)

Filenames ending in .gz or .bz2 will be compressed.

>>> nx.write_multiline_adjlist(G,"test.adjlist.gz")
>>> G=nx.read_multiline_adjlist("test.adjlist.gz")

The optional nodetype is a function to convert node strings to nodetype.

For example

>>> G=nx.read_multiline_adjlist("test.adjlist", nodetype=int)

will attempt to convert all nodes to integer type.

The optional edgetype is a function to convert edge data strings to edgetype.

>>> G=nx.read_multiline_adjlist("test.adjlist")

The optional create_using parameter is a NetworkX graph container. The default is Graph(), an undirected graph. To read the data as a directed graph use

>>> G=nx.read_multiline_adjlist("test.adjlist", create_using=nx.DiGraph())