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add_node(self, node_for_adding, **attr)

Notes

A hashable object is one that can be used as a key in a Python dictionary. This includes strings, numbers, tuples of strings and numbers, etc.

On many platforms hashable items also include mutables such as NetworkX Graphs, though one should be careful that the hash doesn't change on mutables.

Parameters

node_for_adding : node

A node can be any hashable Python object except None.

attr : keyword arguments, optional

Set or change node attributes using key=value.

Add a single node :None:None:`node_for_adding` and update node attributes.

See Also

add_nodes_from

Examples

>>> G = nx.Graph()  # or DiGraph, MultiGraph, MultiDiGraph, etc
... G.add_node(1)
... G.add_node("Hello")
... K3 = nx.Graph([(0, 1), (1, 2), (2, 0)])
... G.add_node(K3)
... G.number_of_nodes() 3

Use keywords set/change node attributes:

>>> G.add_node(1, size=10)
... G.add_node(3, weight=0.4, UTM=("13S", 382871, 3972649))
See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

networkx.algorithms.connectivity.edge_augmentation.weighted_bridge_augmentation networkx.classes.reportviews.NodeView networkx.classes.graph.Graph.add_nodes_from networkx.algorithms.chordal.chordal_graph_cliques networkx.algorithms.summarization.snap_aggregation networkx.algorithms.euler.is_eulerian networkx.algorithms.connectivity.edge_augmentation.unconstrained_bridge_augmentation networkx.algorithms.operators.product.lexicographic_product networkx.algorithms.connectivity.edge_augmentation.partial_k_edge_augmentation networkx.algorithms.connectivity.edge_augmentation.collapse networkx.classes.graph.Graph networkx.algorithms.isolate.is_isolate networkx.algorithms.operators.product.cartesian_product networkx.algorithms.euler.has_eulerian_path networkx.algorithms.chordal.chordal_graph_treewidth networkx.algorithms.operators.product.strong_product networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation networkx.readwrite.gml.generate_gml networkx.algorithms.chordal._chordal_graph_cliques networkx.classes.multidigraph.MultiDiGraph networkx.classes.graph.Graph.add_node networkx.classes.multigraph.MultiGraph networkx.algorithms.operators.product.tensor_product networkx.classes.digraph.DiGraph.add_node

Local connectivity graph

Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.

Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)

SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them


GitHub : /networkx/classes/graph.py#482
type: <class 'function'>
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