NetworkX 3.6
networkx 3.6
We're happy to announce the release of networkx 3.6!
New Features
- ENH: add normalize option for
subgraph_centralityand its_expversion (#8340).
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Changelog
Network Analysis in Python
Last updated about 16 hours ago
We're happy to announce the release of networkx 3.6!
subgraph_centrality and its _exp version (#8340).random_tree function (#8105).G._adj in Tarjan algorithm (#8064).edges_equal (#8077).is_reachable() (#8112).draw_networkx_edge_labels and display (#8108).all_triangles generator yielding all unique triangles in a graph (#8135).k_factor (#8139).intersection_array computation for checking distance-regularity (#7181).is_regular for directed graphs (#8138).nx.circulant_graph to generate Harary graphs (#8189).directed kwarg to edges_equal (#8192).nx.Graph(backend=...) (#7760).subgraph_centrality and its _exp version (#8340).non_randomness() and clarify its behavior (#8057).nx.find_cliques_recursive (#8211).optimize_edit_paths handling of self-loops (#8207).degree_sequence_tree (#8235).k<N and merge all b.c. rescale helper functions (#8256).cumulative_distribution to address floating-point errors (#8342).min_weight_matching (#8062).non_randomness() and clarify its behavior (#8057).display() keyword node_pos (#8153).all_neighbors() (#8166).number_of_cliques (#8216).degree_sequence_tree (#8236).leiden docs (#8277).needs_(num|sci)py (#8088).scipy.sparse array versions where applicable (#8080).generate_adjlist (#8146).k_factor tests (#8140).pytest.raises as a context (#8170).pyproject.toml (#8172).matrix_power from scipy.sparse in number_of_walks (#8197).try except for tomllib in generate_requirements (#8198)._tree_center and move to tree subpackage (#8174).random_cograph test (#8228).@_dispatchable(name= (#8168).slow coverage in k_components (#8239).degree_seq (#8257).k<N and merge all b.c. rescale helper functions (#8256).itertools.pairwise in pairwise and add docstring (#8201).generators/deg_seq.py (#8226).max_iter in asyn_fluidc (#8224).steiner_tree (#8259).slow coverage for random graph generators (#8252).all_node_cuts with shortest augmenting path flow function (#8230).isomorphvf2 (#8251).nx_pylab drawing tests (#8232).random_k_out_graph to tests to hit try except path (#8231).internet_as_graphs.py (#8225).topo_sort skips visited nodes in goldberg_radzik (#8279).40 authors added to this release (alphabetically):
24 reviewers added to this release (alphabetically):
These lists are automatically generated, and may not be complete or may contain duplicates.
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