Friday, April 29, 2016

Comparing Visualization Libraries in Python

I just ran across a great post from the DataQuest blog comparing several plotting libraries in Python.

Highlights:
  • They don't explicitly give an intro to the Pandas package (a user-friendly data organization package with many features reminicent of those in R), but they do make use of it in all their examples, so it's helpful for those who aren't familiar with Pandas.
  • Examples building visualizations with MatPlotLib, Seaborn, Bokeh, Pygal, basemap, folium, and networkx. 
  • Example visualizations include histograms, bar charts, scatter plots, maps and network diagrams. 
They include all their data and code, so it's easy to get started with the examples they show. This is a great resource for finding the right Python tool for your project.


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