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Creating Map Visualizations in <10 lines of Python

import vincent world_countries = r'world-countries.json' world = vincent.Map(width=1200, height=1000) world.geo_data(projection='winkel3', scale=200, world=world_countries) world.to_json(path) One of my goals when I started building Vincent was to streamline the creation of maps as much as possible. There are some excellent Python map libraries out there- see Basemap and Kartograph for more fun wi

xef 2013/05/01

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Plotting Time Series with Pandas DatetimeIndex and Vincent | wrobstory.github.io

Plotting Time Series with Pandas DatetimeIndex and Vincent Sun 21 April 2013 The Pandas Time Series/Date tools and Vega visualizations are a great match; Pandas does the heavy lifting of manipulating the data, and the Vega backend creates nicely formatted axes and plots. Vincent is the glue that makes the two play nice, and provides a number of conveniences for making plot building simple. Here ar