written by Eric J. Ma on 2018-08-01 | tags: nxviz visualization data science software open source
A new version of nxviz is released!
In this update, I have added a declarative interface for visualizing geographically-constrained graphs. Here, nodes in a graph have their placement constrained by longitude and latitude.
An example of how to use it is below:
In the GeoPlot constructor API, the keyword arguments node_lat
and node_lon
specify which node metadata are to be used to place nodes on the x- and y- axes.
By no means do I intend for GeoPlot to replace more sophisticated analysis methods; like seaborn
, the interface is declarative; for me, the intent is to provide a very quick-and-dirty way for an end user to visualize graphs with spatially constrained nodes.
Please enjoy!
I send out a newsletter with tips and tools for data scientists. Come check it out at Substack.
If you would like to receive deeper, in-depth content as an early subscriber, come support me on Patreon!