parameters: (self, nodes_for_adding, **attr)
docstring: Add multiple nodes.
  
          Parameters
          ----------
          nodes_for_adding : iterable container
              A container of nodes (list, dict, set, etc.).
              OR
              A container of (node, attribute dict) tuples.
              Node attributes are updated using the attribute dict.
          attr : keyword arguments, optional (default= no attributes)
              Update attributes for all nodes in nodes.
              Node attributes specified in nodes as a tuple take
              precedence over attributes specified via keyword arguments.
  
          See Also
          --------
          add_node
  
          Examples
          --------
          >>> G = nx.Graph()   # or DiGraph, MultiGraph, MultiDiGraph, etc
          >>> G.add_nodes_from('Hello')
          >>> K3 = nx.Graph([(0, 1), (1, 2), (2, 0)])
          >>> G.add_nodes_from(K3)
          >>> sorted(G.nodes(), key=str)
          [0, 1, 2, 'H', 'e', 'l', 'o']
  
          Use keywords to update specific node attributes for every node.
  
          >>> G.add_nodes_from([1, 2], size=10)
          >>> G.add_nodes_from([3, 4], weight=0.4)
  
          Use (node, attrdict) tuples to update attributes for specific nodes.
  
          >>> G.add_nodes_from([(1, dict(size=11)), (2, {'color':'blue'})])
          >>> G.nodes[1]['size']
          11
          >>> H = nx.Graph()
          >>> H.add_nodes_from(G.nodes(data=True))
          >>> H.nodes[1]['size']
          11
docstring_summary: Add multiple nodes.
docstring_tokens: Add multiple nodes .
function: def add_nodes_from(self, nodes_for_adding, **attr):
          """Add multiple nodes.
  
          Parameters
          ----------
          nodes_for_adding : iterable container
              A container of nodes (list, dict, set, etc.).
              OR
              A container of (node, attribute dict) tuples.
              Node attributes are updated using the attribute dict.
          attr : keyword arguments, optional (default= no attributes)
              Update attributes for all nodes in nodes.
              Node attributes specified in nodes as a tuple take
              precedence over attributes specified via keyword arguments.
  
          See Also
          --------
          add_node
  
          Examples
          --------
          >>> G = nx.Graph()   # or DiGraph, MultiGraph, MultiDiGraph, etc
          >>> G.add_nodes_from('Hello')
          >>> K3 = nx.Graph([(0, 1), (1, 2), (2, 0)])
          >>> G.add_nodes_from(K3)
          >>> sorted(G.nodes(), key=str)
          [0, 1, 2, 'H', 'e', 'l', 'o']
  
          Use keywords to update specific node attributes for every node.
  
          >>> G.add_nodes_from([1, 2], size=10)
          >>> G.add_nodes_from([3, 4], weight=0.4)
  
          Use (node, attrdict) tuples to update attributes for specific nodes.
  
          >>> G.add_nodes_from([(1, dict(size=11)), (2, {'color':'blue'})])
          >>> G.nodes[1]['size']
          11
          >>> H = nx.Graph()
          >>> H.add_nodes_from(G.nodes(data=True))
          >>> H.nodes[1]['size']
          11
  
          """
          super.add_nodes_from(nodes_for_adding, **attr)
function_tokens: def add_nodes_from ( self , nodes_for_adding , * * attr ) : super . add_nodes_from ( nodes_for_adding , * * attr )