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# parse_edgelist

parse_edgelist(lines, comments='#', delimiter=None, create_using=None, nodetype=None, data=True)

  Parse lines of an edge list representation of a bipartite graph.

  Parameters:
    lines list or iterator of strings

      Input data in edgelist format

    comments string, optional

      Marker for comment lines

    delimiter string, optional

      Separator for node labels

    create_using: NetworkX graph container, optional

      Use given NetworkX graph for holding nodes or edges.

    nodetype Python type, optional

      Convert nodes to this type.

    data bool or list of (label,type) tuples

      If False generate no edge data or if True use a dictionary representation of edge data or a list tuples specifying dictionary key names and types for edge data.

  Returns:
    G: NetworkX Graph

      The bipartite graph corresponding to lines

  Examples

  Edgelist with no data:

      >>> from networkx.algorithms import bipartite
      >>> lines = ["1 2", "2 3", "3 4"]
      >>> G = bipartite.parse_edgelist(lines, nodetype=int)
      >>> sorted(G.nodes())
      [1, 2, 3, 4]
      >>> sorted(G.nodes(data=True))
      [(1, {'bipartite': 0}), (2, {'bipartite': 0}), (3, {'bipartite': 0}), (4, {'bipartite': 1})]
      >>> sorted(G.edges())
      [(1, 2), (2, 3), (3, 4)]

  Edgelist with data in Python dictionary representation:

      >>> lines = ["1 2 {'weight':3}", "2 3 {'weight':27}", "3 4 {'weight':3.0}"]
      >>> G = bipartite.parse_edgelist(lines, nodetype=int)
      >>> sorted(G.nodes())
      [1, 2, 3, 4]
      >>> sorted(G.edges(data=True))
      [(1, 2, {'weight': 3}), (2, 3, {'weight': 27}), (3, 4, {'weight': 3.0})]

  Edgelist with data in a list:

      >>> lines = ["1 2 3", "2 3 27", "3 4 3.0"]
      >>> G = bipartite.parse_edgelist(lines, nodetype=int, data=(("weight", float),))
      >>> sorted(G.nodes())
      [1, 2, 3, 4]
      >>> sorted(G.edges(data=True))
      [(1, 2, {'weight': 3.0}), (2, 3, {'weight': 27.0}), (3, 4, {'weight': 3.0})]