Package: netgraph
NetgraphPublication-quality Network Visualisations in PythonNetgraph is a Python library that aims to complement existing network analysis libraries such as such asnetworkx,igraph, andgraph-toolwith publication-quality visualisations within the Python ecosystem. To facilitate a seamless integration, Netgraph supports a variety of input formats, including networkx, igraph, and graph-toolGraphobjects. Netgraph implements numerous node layout algorithms and several edge routing routines. Uniquely among Python alternatives, it handles networks with multiple components gracefully (which otherwise break most node layout routines), and it post-processes the output of the node layout and edge routing algorithms with several heuristics to increase the interpretability of the visualisation (reduction of overlaps between nodes, edges, and labels; edge crossing minimisation and edge unbundling where applicable). The highly customisable plots are created usingMatplotlib, and the resulting Matplotlib objects are exposed in an easily queryable format such that they can be further manipulated and/or animated using standard Matplotlib syntax. Finally, Netgraph also supports interactive changes: with theInteractiveGraphclass, nodes and edges can be positioned using the mouse, and theEditableGraphclass additionally supports insertion and deletion of nodes and edges as well as their (re-)labelling through standard text-entry.InstallationInstall the current release ofnetgraphfrom PyPI:pipinstallnetgraphIf you are using (Ana-)conda (or mamba), you can also obtain Netgraph from conda-forge:condainstall-cconda-forgenetgraphDocumentationNumerous tutorials, code examples, and a complete documentation of the API can be found onReadTheDocs.Quickstartimportmatplotlib.pyplotaspltfromnetgraphimportGraph,InteractiveGraph,EditableGraph# Several graph formats are supported:# 1) edge listsgraph_data=[(0,1),(1,2),(2,0)]# 2) edge list with weightsgraph_data=[(0,1,0.2),(1,2,-0.4),(2,0,0.7)]# 3) full rank matricesimportnumpygraph_data=np.random.rand(10,10)# 4) networkx Graph and DiGraph objects (MultiGraph objects are not supported, yet)importnetworkxgraph_data=networkx.karate_club_graph()# 5) igraph.Graph objectsimportigraphgraph_data=igraph.Graph.Famous('Zachary')# 6) graph_tool.Graph objectsimportgraph_tool.collectiongraph_data=graph_tool.collection.data["karate"]# Create a non-interactive plot:Graph(graph_data)plt.show()# Create an interactive plot, in which the nodes can be re-positioned with the mouse.# NOTE: you must retain a reference to the plot instance!# Otherwise, the plot instance will be garbage collected after the initial draw# and you won't be able to move the plot elements around.# For related reasons, if you are using PyCharm, you have to execute the code in# a console (Alt+Shift+E).plot_instance=InteractiveGraph(graph_data)plt.show()# Create an editable plot, which is an interactive plot with the additions# that nodes and edges can be inserted or deleted, and labels and annotations# can be created, edited, or deleted as well.plot_instance=EditableGraph(graph_data)plt.show()# Netgraph uses Matplotlib for creating the visualisation.# Node and edge artistis are derived from `matplotlib.patches.PathPatch`.# Node and edge labels are `matplotlib.text.Text` instances.# Standard matplotlib syntax applies.fig,ax=plt.subplots(figsize=(5,4))plot_instance=Graph([(0,1)],node_labels=True,edge_labels=True,ax=ax)plot_instance.node_artists[0].set_alpha(0.2)plot_instance.edge_artists[(0,1)].set_facecolor('red')plot_instance.edge_label_artists[(0,1)].set_style('italic')plot_instance.node_label_artists[1].set_size(10)ax.set_title("This is my fancy title.")ax.set_facecolor('honeydew')# change background colorfig.canvas.draw()# force redraw to display changesfig.savefig('test.pdf',dpi=300)plt.show()# Read the documentation for a full list of available arguments:help(Graph)help(InteractiveGraph)help(EditableGraph)ExamplesCiting NetgraphIf you use Netgraph in a scientific publication, I would appreciate citations to the following paper:Brodersen, P. J. N., (2023). Netgraph: Publication-quality Network Visualisations in Python. Journal of Open Source Software, 8(87), 5372,https://doi.org/10.21105/joss.05372Bibtex entry:@article{Brodersen2023,doi={10.21105/joss.05372},url={https://doi.org/10.21105/joss.05372},year={2023},publisher={The Open Journal},volume={8},number={87},pages={5372},author={Paul J. N. Brodersen},title={Netgraph: Publication-quality Network Visualisations in Python},journal={Journal of Open Source Software},}Recent changes4.13.1 Improved initialization ofkparameter inget_fruchterman_reingold_layout(issue #79).4.13.0 Wrote an article on Netgraph for the Journal of Open Source Software (latest draft in /publication).4.12.12 Expanded the documentation to cover installation of optional dependencies, automated testing, and troubleshooting issues with Matplotlib event handling (issue #69).4.12.11 Mitigated a bug inEditableGraphthat occurred when deleting a node while hovering over an edge incident to that node (issue #66).4.12.10 Fixed a bug with automatic node label rescaling if the node label fontsize was specified using thefontsizekeyword argument (instead of justsize).4.12.9 Fixed a bug that occurred when the distance argument to_shorten_line_bywas equal or smaller than zero.4.12.8 Fixed a bug that occurred with recent numpy versions when using multi-partite or shell layouts with un-equal numbers of nodes in each layer (issue #65).4.12.7 Fixed a bug that occurred with recent Matplotlib versions when using the rectangle selector inInteractiveGraph.4.12.6 Added support for graphs with nodes but no edges toEditableGraph(issue #62).4.12.5 Added support for empty graphs inEditableGraph(issue #62).4.12.4 Turned off clipping of self-loop paths.4.12.3 Bugfix: stopped overwritingstepparameter inget_community_layout.4.12.2 Improved node positions rescaling for some layouts & standardised node position padding across all layouts.4.12.1 Fixed a bug/deprecation issue that occurred with new versions of Matplotlib if an axis was provided (thanks @speedsmith!).4.12.0 Implemented the geometric node layout, which infers node positions from given edge lengths.4.11.8 Plotting of graphs with a single node is now actually supported. Thanks @Alexander-Wilms.4.11.7 Removed instances of (deprecated) np.float / np.int types (issue #58).4.11.6 Added documentation on hyperlinks (issue #56).4.11.5 Resolved a SyntaxWarning.4.11.4 Fixed a bug that occurred when using edge annotations.4.11.3 Cleaned build directory and removed several outdated files.4.11.2 Fixed a bug that prevented changing the axis background colour.4.11.1 Resolved warnings during build process.4.11.0 Switched from setup.py based installation to pyproject.toml/wheels.4.10.4 Added support for custom graph classes that inherit from networkx/igraph/graph-tool base Graph classes (issue #53).4.10.3 Improved the error message for incomplete iterable arguments (issue #55).4.10.2 Fixed issue #48 (again, sorry).4.10.1 Implemented flag that controls bundling of parallel edges in the curved edge layout (bundle_parallel_edges).4.10.0 Implemented grid-mode for the InteractiveGraph class to facilitate alignment of nodes (toggle with 'g').4.9.7 Fixed a bug introduced in version 4.9.5 in the computation of repulsive forces in the spring layout (i.e. the default layout).4.9.6 Fixed issue #51, which occurred in the community node layout if a node had no connections to other nodes in its community.4.9.5 Improved the routine that reduces node overlaps in the spring and community node layouts.4.9.4 Fixed a bug that occurred in get_curved_edges if the k parameter was not set explicitly.4.9.3 Improved placement of nodes in instances where all nodes are aligned within any one dimension.4.9.2 Fixed an issue that occurred when using the dot node layout for a graphs with multiple components.4.9.1 Fixed issue #48, which occurred when computing a curved edge layout for graphs with multiple components. Also improved edge routing slightly.4.9.0 Implemented a layered and a shell layout for multi-partite graphs.4.8.2 Fixed issue #45, which prevented a warning to be raised when trying to plot networkx.MultiGraph instances.4.8.1 Fixed issue #44, that occurred if a single node was plotted with the Sugiyama layout (thanks @wilkeber).4.8.0 Refined community node layout. Communities are rotated w.r.t. each other to reduce the length of edges between them.4.7.1 Fixed issue #41, which occurred when computing the community layout for communities without within-community edges.4.7.0 Implemented a radial tree node layout.4.6.0 Support drawing of graph_tool.Graph objects.4.5.0 Support custom mappings for mouse-over highlight events (issue #39).4.4.1 Corrected imports for testing _arcdiagram.py.4.4.0 Added bipartite node layouts.4.3.0 Added the ArcDiagram class and interactive/editable variants.4.2.4 Plotting of graphs with a single node is now supported.4.2.3 Fixed a bug that occurred when using the community layout with at least one community containing a single node.4.2.2 Fixed a bug that occurred every time an InteractiveGraph was initialised without tabular annotations.4.2.1 Added online documentation.Help, I don't know how to do ...!Please raise an issue. Include any relevant code and data in aminimal, reproducible
example.
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take a picture, and append it to the issue.Bug reports are, of course, always welcome. Please make sure to
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