NetworkX 3.5
networkx 3.5
We're happy to announce the release of networkx 3.5!
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Changelog
Network Analysis in Python
Last updated 4 days ago
We're happy to announce the release of networkx 3.5!
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random_k_out_graph (#7702).find_asteroidal_triple improvement (#7736).weight to harmonic_diameter (#7636).forceatlas2_layout dispatchable (#7794).forceatlas2_layout (#7798).get_node_attributes and a few more from nx.classes.function (#7824).could_be_isomorphic and number_of_cliques (#7855).square_clustering (#7810).biadjacency_matrix to be returned as a dense NumPy array (#7973).sources argument in bfs_layers (#8013).connected_components and weakly_connected_components (#7971)._raise_on_directed to work with create_using pos arg (#7695).edge_subgraph (#7724) (#7729).if condition in asadpour_atsp (#7753).with nx.config(backend_priority=backends): (#7814).edge_attrs="weight" to forceatlas2_layout dispatch decorator (#7918).random_degree_sequence_graph when input is an iterator (#7979).nx.config.backend_priority (#8034).is_aperiodic (#8029).soft_random_geometric_graph and thresholded_random_geometric_graph (#7749).single_source_shortest_path_length docstring (#7637).backends.py to backends.rst (#7776).path parameter (#7835).nx.generate_random_paths(index_map=...) (#7832).weight and gravity attribute to forceatlas2_layout docstring (#7915).tournament_matrix to docs (#7968).random_paths docstring improvements (#7841).maximum_flow() (#8058).min_edge_cover docstring (#8075).partial with staticmethod() in test_link_prediction.py (#7673).pip installs in benchmarking workflow (#7647).osmnx=2.0.0 (#7746).nx.lowest_common_ancestor (#7726).shortest_path and single_target_shortest_path_length for 3.5 (#7754).__call__ when no backends (#7761).assert when using pytest.raises (#7833).path parameter (#7835).nx.generate_random_paths(index_map=...) (#7832).dict(...) for SSSP algos that return dicts (#7878).effective_size of nodes with only self-loop edges is undefined (#7347).to_dict_of_dicts and attr_matrix and input name change in min_fill_in_heuristic (#7883).-n auto from pytest-xdist for dispatch and coverage CI jobs (#7987).56 authors added to this release (alphabetically):
32 reviewers added to this release (alphabetically):
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