read_edgelist#
- read_edgelist(path, comments='#', delimiter=None, create_using=None, nodetype=None, data=True, edgetype=None, encoding='utf-8')[source]#
Read a graph from a list of edges.
- Parameters:
- pathfile 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.
- commentsstring, 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
.- delimiterstring, optional
The string used to separate values. The default is whitespace.
- create_usingNetworkX graph constructor, optional (default=nx.Graph)
Graph type to create. If graph instance, then cleared before populated.
- nodetypeint, float, str, Python type, optional
Convert node data from strings to specified type
- databool or list of (label,type) tuples
Tuples specifying dictionary key names and types for edge data
- edgetypeint, 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:
- Ggraph
A networkx Graph or other type specified with create_using
See also
Notes
Since nodes must be hashable, the function nodetype must return hashable types (e.g. int, float, str, frozenset - or tuples of those, etc.)
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.