Hiveplotlib version 0.26.0 is out! New HivePlot class, hover tools, plotting metadata, and way more than we can summarize in 280 characters, so we wrote a blog post summarizing the changes, check it out here: https://t.co/Plvdo8SefX

If you’re struggling to make your hive plot, but can’t find what you’re looking for in our docs, let us know! DM us on X or make an issue in our Gitlab repository here: https://t.co/YOQbWDuZrM

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From 1970-1972, Wayne W. Zachary observed a karate club split into two factions. Did they split based on friendships? With a hive plot visualization, we can quickly see that people talked more within factions, but also that the factions were not completely isolated.

And for more on using hive plots for network visualization, check out our intro page:

Check out our Creating Hive Plots from Networkx page here:

Interested in visualizing your network data with hive plots? Is your network data in a @networkx_team Graph? Check out our Creating Hive Plots from Networkx page at the link below

And for more on using hive plots for network visualization, check out our intro page:

Check out our Creating Hive Plots from Pandas page here:

Interested in visualizing your network data with hive plots? Is your network data in @pandas_dev DataFrames? Check out our Creating Hive Plots from Pandas page at the link below

Check out our library-specific guides here:

Hiveplotlib supports visualization using multiple python viz libraries, but using each plotting tool is a bit different in practice. To help users out, we added docs for each of our supported viz back ends, check it out at the link below

Check out our Changing Viz Back Ends page here:

Whether you want to use the default matplotlib back end, an interactive back end to explore your hive plot with hover tools, or the datashader back end for large networks, Hiveplotlib v0.26 makes the switch easy! Check out our Changing Viz Back Ends page at the link below

For more information on hover info with the @plotlygraphs back end, see our Plotly page:

For more information on hover info with the @HoloViews (with Bokeh) back end, see our Holoviews-Bokeh page:

For more information on hover info with the @bokeh back end, see our Bokeh page:

For more information on the new support for hover info, see our Hover Info page:

The new Hiveplotlib release adds hover support for the @bokeh , @HoloViews , and @plotlygraphs back ends! Each of these back ends supports hover metadata for nodes, axes, and edges. We go into the details of using hover info with each back end in the links below.

Check out our Datashading Statistical Summaries of Node and Edge Metadata page here:

Hiveplotlib now supports plotting node and edge metadata, even with the datashader back end! You can plot statistical summaries of node / edge data, allowing you to explore metadata patterns even in large networks. For more info, check out the link below