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Utility functions for manipulating (weighted) graphs.
The functions in this module assume that weighted graphs are represented by nested dictionaries, where the outer dictionary maps each edge source ID to an inner dictionary that maps each edge target ID to that edge's weight. So for example, the graph containing the edges:
A -- 0.5 --> B
A -- 0.9 --> C
B -- 0.4 --> A
B -- 1.0 --> C
C -- 0.8 --> D
would be represented by the dictionary:
{ "A": { "B": 0.5, "C": 0.9 },
"B": { "A": 0.4, "C": 1.0 },
"C": { "D": 0.8 }
}
In the documention, we say a graph is represented by a dict:
source_id -> (target_id -> weight).
Functions
add_edge(...): Adds an edge to a given graph.
add_undirected_edges(...): Makes all edges of the given graph bi-directional.
read_tsv_graph(...): Reads the file filename containing graph edges in TSV format.
write_tsv_graph(...): Writes the given graph to the file filename in TSV format.
Other Members | |
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| absolute_import |
Instance of __future__._Feature
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| division |
Instance of __future__._Feature
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| print_function |
Instance of __future__._Feature
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View source on GitHub