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Announcement: NetworkX 2.3 ========================== We're happy to announce the release of NetworkX 2.3! NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. For more information, please visit our website <http://networkx.github.io/>_ and our gallery of examples <https://networkx.github.io/documentation/latest/auto_examples/index.html>_. Please send comments and questions to the networkx-discuss mailing list <http://groups.google.com/group/networkx-discuss>_. Highlights ---------- This release is the result of 6 months of work with over 92 pull requests by 30 contributors. Highlights include: - Dropped support for Python 2. We are no longer supporting Python 2.7 and we will start changing code to take advantage of Python 3 features we couldn't before. - Added some Moral Graph analysis functions. - Enable matplotlib drawing using curved arrows via connectionstyle parameter. - Remove ticks and axes labels from matplotlib plots. - Two new generators of Harary Graphs. - Added Dual Barabasi-Albert model - Added VoteRank algorithm - Added Equitable coloring algorithms - Added planar layout algorithms - Les Miserables network example - Javascript example update Improvements ------------ - Change default colors to be color-blind friendly - Many bug fixes and documentation improvements - Speed up of simple_cycles - Improvements for reading various formats like GML, GEXF, Graphml - Allow subclassing to access node_attr_dict_factory API Changes ----------- - The G.fresh_copy() mechanism for creating an empty_graph of the same type (introduced in v2.0) does not playing nicely with pickle and others. So, we have removed the code that caused a need for that. Instead you should use the more natural G.__class__() syntax to get an empty_graph of the same type as G. Deprecations ------------ - The Graph.fresh_copy() method should now use Graph.__class__() - ReverseView class removed in favor of reverse_view() function. |
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