Bleed Orange Measure Purple

Bleed Orange Measure Purple project explores the potential uses and benefits of the PurpleAir air quality sensors located on the UT Austin campus through data processing, analysis, and visualization. This repo features a data pipeline with various scripts that handle everything from downloading to visualizing the data. Data from TCEQ sensors is also included in this project to provide regulatory grade reference data. For a more detailed explaination of this project, please refer to the wiki.

Prerequisites

• The following python packages are required: pandas, pyarrow, aiohttp, aiodns, cchardet

Features

• Download data from PurpleAir sensors on the UT Austin main campus.

Installation

Download the latest wheel file from the releases page.

Install the wheel using pip:

pip install iel_bomp-0.2.0-py3-none-any.whl

Usage

The following command can be used to download data:

bomp download -s <start-date> -e <end-date>
bomp download --start-date <start-date> --end-date <end-date>

For example:

bomp download -s 2021-8-1 -e 2021-8-2