PyAURN -

This is a Python port of functions of the openair R package. The openair R package relies on data provided as a set of .RData files on the Defra website, specifically designed for use by the openair project. This Python package relies on the same data, however imports it into a Python friendly pandas dataframe without the need for R by utilising the pyreadr package.

Getting started

Install the via pip:

pip install pyaurn

Example quickstart functions in the package as below:

from pyaurn import importAURN, importMeta, timeAverage

# Download metadata of site IDs, names, locations etc
metadata = importMeta()

# Download 4 years of data for the Marylebone Road site
# (MY1 is the site ID for this site)
# Note: range(2016, 2022) will produce a list of six years: 2016, 2017, 2018, 2019, 2020, and 2021. 
# Alternatively define a list of years to use eg. [2016,2017,2018,2019,2020,2021]
data = importAURN("MY1", range(2016, 2022))

# Group the DataFrame by a frequency of monthly, and the statistic mean(). 
data_monthly = timeAverage(data,avg_time="month",statistic="mean")

Current Functions

The following functions are currently available in the package:

• importMeta - download meta information on the different sents for specified data source.
• importAURN - import AURN data for a specified site and year(s).
• importUKAQ - import UK Air Quality data for a specified site, year(s), and data source.
• importEurope - import European Air Quality data for a specified site, year(s) - WIP (final dataframe format needs widening to clean pollutants)
• timeAverage - time average the data to a specified frequency and statistic.
• windRose - plot a wind rose for a specified site and year(s).

Future developments

• integrate other openair functions
• open to suggestions (please leave enhancement tag in Issues)