topologic package¶
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topologic.
connected_components_generator
(graph: networkx.classes.graph.Graph) → Generator[networkx.classes.graph.Graph, None, None][source]¶ Returns a Generator that will provide each component as a networkx.Graph copy
Parameters: graph (networkx.Graph) – The networkx graph object to create a connected component generator from Returns: A Generator that returns a copy of the subgraph corresponding to a connected component of graph Return type: Generator[networkx.Graph]
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exception
topologic.
DialectException
(message)[source]¶ Bases:
BaseException
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exception
topologic.
InvalidGraphError
(message)[source]¶ Bases:
BaseException
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topologic.
largest_connected_component
(graph: networkx.classes.graph.Graph, weakly: bool = True) → networkx.classes.graph.Graph[source]¶ Returns the largest connected component of the graph.
Parameters: - graph (networkx.Graph) – The networkx graph object to select the largest connected component from. Can be either directed or undirected.
- weakly (bool) – Whether to find weakly connected components or strongly connected components for directed graphs.
Returns: A copy of the largest connected component as an nx.Graph object
Return type:
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topologic.
number_connected_components
(graph: networkx.classes.graph.Graph) → int[source]¶ Returns the number of connected components in the Graph.
This function calls the appropriate newtorkx connected components function depending on whether it is Undirected or Directed.
Parameters: graph (networkx.Graph) – The networkx graph object to determine the number of connected components for Returns: number of connected components (and in the case of a directed graph, strongly connected) Return type: int
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class
topologic.
PartitionedGraph
[source]¶ Bases:
tuple
A PartitionedGraph combines a networkx graph object with a global community partitioning for that graph.
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community_partitions
¶ Alias for field number 1
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graph
¶ Alias for field number 0
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topologic.
diagonal_augmentation
(graph: Union[networkx.classes.graph.Graph, networkx.classes.digraph.DiGraph], weight_column: str = 'weight') → networkx.classes.graph.Graph[source]¶ Replaces the diagonal of adjacency matrix of the graph with the weighted degree / number of vertices in graph. For directed graphs, the weighted in and out degree is averaged.
Modifies the provided graph in place as well as returning it.
Param: The networkx graph which will get a replaced diagonal Parameters: weight_column (str) – The weight column of the edge Returns: The networkx Graph or DiGraph object that was modified in place. Return type: Union[nx.Graph, nx.DiGraph]
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exception
topologic.
UnweightedGraphError
(message)[source]¶ Bases:
BaseException