This documents an unmaintained version of NetworkX. Please upgrade to a maintained version and see the current NetworkX documentation.


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

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

  • 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 – Use given NetworkX graph for holding nodes or edges.


Return type:

NetworkX graph


>>> 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())


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