OpenAQ 's mission is to fight air inequality by opening up air quality data and connecting a diverse global, grassroots community of individuals and organizations.
This walks you through a tutorial by David Hagan , the author of GitHub - dhhagan/py-openaq: Python wrapper for the Open AQ API about how to use the library to acquire and visualize open air quality information from the whole world.
The openaq api is an easy-to-use wrapper built around the OpenAQ Api .
There are no keys or rate limits (as of March 2017), so working with the API is straight forward. If building a website or app, you may want to just use the python wrapper and interact with the data in json format. However, the rest of this tutorial will assume you are interested in analyzing the data. To get more out of it, I recommend installing seaborn for manipulating the asthetics of plots, and working with data as DataFrames using pandas.
– Using the OpenAQ API — py-openaq 1.1.0 documentation