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_edge_value(G, edge_attr)

Suppose there exists an edge between u and v. Then we return a function expecting u and v as arguments. For Graph and DiGraph, G[u][v] is the edge attribute dictionary, and the function (essentially) returns G[u][v][edge_attr]. However, we also handle cases when :None:None:`edge_attr` is None and when it is a function itself. For MultiGraph and MultiDiGraph, G[u][v] is a dictionary of all edges between u and v. In this case, the returned function sums the value of :None:None:`edge_attr` for every edge between u and v.

Parameters

G : graph

A NetworkX graph

edge_attr : {None, str, callable}

Specification of how the value of the edge attribute should be obtained from the edge attribute dictionary, G[u][v]. For multigraphs, G[u][v] is a dictionary of all the edges between u and v. This allows for special treatment of multiedges.

Returns

value : function

A function expecting two nodes as parameters. The nodes should represent the from- and to- node of an edge. The function will return a value from G[u][v] that depends on :None:None:`edge_attr`.

Returns a function that returns a value from G[u][v].

Examples

See :

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/linalg/attrmatrix.py#53
type: <class 'function'>
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