BNMPy.vis

BNMPy.vis.build_igraph(logic_rules)

Build igraph for BN with single rule per node.

BNMPy.vis.build_igraph_pbn(logic_rules, edge_probabilities)

Build igraph for PBN with multiple rules per node.

BNMPy.vis.create_matplotlib_extension_visualization(logic_rules, new_nodes, new_edges)

Create a matplotlib-based visualization for extension comparison.

BNMPy.vis.create_matplotlib_visualization(logic_rules, removed_nodes=None, removed_edges=None, measured_nodes=None, perturbed_nodes=None)

Create a matplotlib-based visualization for Jupyter notebooks.

BNMPy.vis.extract_logic_rules_from_network(network)

Extract logic rules from a BooleanNetwork or PBN object using stored equations.

Args:

network: BooleanNetwork or ProbabilisticBN object

Returns:

dict: Mapping from variable names to their logic rules (for BN) or list of rules (for PBN) dict: Mapping from edges to probabilities (for PBN) or empty dict (for BN)

BNMPy.vis.read_logic_rules(source)

Reads logic rules from a file path or from a string containing rules.

Args:

source (str): Path to the file or the string containing logic rules.

Returns:

dict: Mapping from variable names to their logic rules.

BNMPy.vis.vis_compression(original_network, compressed_network, compression_info, output_html='compression_comparison.html', interactive=False)

Visualize the original network with removed/collapsed nodes highlighted.

Args:

original_network: Original BooleanNetwork or ProbabilisticBN compressed_network: Compressed network (not used for visualization) compression_info: Dictionary with compression information output_html (str): Output HTML file name interactive (bool): If True, return network visualization in interactive html file

BNMPy.vis.vis_extension(original_network, extended_network, output_html='extension_comparison.html', interactive=False)

Visualize the extended network with new nodes and edges highlighted.

Args:

original_network: Original BooleanNetwork or ProbabilisticBN extended_network: Extended network with additional nodes/edges output_html (str): Output HTML file name interactive (bool): If True, return network visualization in interactive html file

BNMPy.vis.vis_network(source, output_html='network_graph.html', interactive=False, removed_nodes=None, removed_edges=None, measured_nodes=None, perturbed_nodes=None)

Visualize the logic graph using PyVis and igraph.

Args:

source: Logic rules (dict), file path (str), network string (str),

BooleanNetwork object, or ProbabilisticBN object

output_html (str): Output HTML file name. interactive (bool): If True, return the network visualization in interactive html file removed_nodes (set): Set of node names that were removed (shown in grey) removed_edges (set): Set of edge tuples that were removed (shown in grey) measured_nodes (set): Set of node names that are measured (shown in orange) perturbed_nodes (set): Set of node names that are perturbed (shown in red)