# We assume you have a graph G that is a NetworkX graph object. Making a Circos plot that has colour annotationsįor the nodes and edge transparencies is as simple as: That you have been working with in-memory, Rational plotting starts with prioritizing the placement of nodes.Īssuming you have a NetworkX graph called G What plots can you make with nxviz?Ĭircos, Arc, Matrix, Hive, and Parallel plots.
High-level plotting API so that you can get started with it easily. In this post, I would like to introduce you to the basic, To provide a declarative API for producingīeautiful and rational graph visualizations from NetworkX graph objects. While also being a generally useful tool for Pythonistas who wish to visualize graphs. So I decided to scratch my builder's itch and created that API.įast forward 5 years later, nxviz has becomeĪ part-time research hobby into graph visualization Of the BC Cancer Research Center in Vancouver, BC.īack then, an easy API for making graph visualizations did not exist in the Python world. My goals were simple: to produce two kinds of beautiful and rational graph visualizations:īoth built by one of my graph visualization heroes, Nxviz is a library that I originally built during my graduate school training days. I want to illustrate one example here, the nxviz project. Other tools exist that accept a NetworkX graph objectĪnd return a beautiful graph visualization. While NetworkX provides a built-in graph visualization library, It can help you provide immediate visual insights based on the structure of a graph. Being able to visualize it is immensely valuable.
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