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!
@article{
ericmjl-2018-nxviz-05-released,
author = {Eric J. Ma},
title = {nxviz 0.5 released!},
year = {2018},
month = {08},
day = {01},
howpublished = {\url{https://ericmjl.github.io}},
journal = {Eric J. Ma's Blog},
url = {https://ericmjl.github.io/blog/2018/8/1/nxviz-05-released},
}
I send out a newsletter with tips and tools for data scientists. Come check it out at Substack.
# TODO(eric): learn how to learn anything. feb 2027.
If you would like to sponsor the coffee that goes into making my posts, please consider GitHub Sponsors!