Getting air quality data with Python should be easy and straightforward - and that's exactly what Ozon3 can help you with. With Ozon3, just 4 lines of code are enough to get you the data you need. And the best part is that you can trust this data to be accurate and reliable, since the package uses the World Air Quality Index's API under the hood! ✅ 📈
Use Ozon3 to get real-time air quality data, or historical data from 2014 onwards, and fetch air quality data for anywhere in the world in seconds.
You can view our complete documentation here
Don't forget to star Ozon3 repository if you found it helpful
Contributing and submitting PR's
pip install ozon3You can find more information on the PyPI page for Ozon3 here
To use Ozon3, you must first request and get a your own unique API token 🎫. This is required to access for the underlying API to work 👮🏼♂️.
This is very easy to do, and takes no time at all as your token is generally emailed to you instantly.
Get your token here!
import ozon3 as ooo
o3 = ooo.Ozon3('YOUR_PRIVATE_TOKEN')
data = o3.get_city_air('New Delhi')for many cities:
data = o3.get_multiple_city_air(['London', 'Hong Kong', 'New York']) # As many locations as you needdata = o3.get_historical_data(city='Houston') # data from 2014 onwards!
Ozon3 can fetch the following parameters:
aqi: air quality index, a measurement of air quality that tells you how clean or polluted the air is. It is measured in micrograms per cubic meter (µg/m3).pm25: fine particulate matter, a measure of 2.5 micrometers or smaller particles in the air. It is measured in micrograms per cubic meter (µg/m3).pm10: respirable particulate matter, a measure of 10 micrometers or smaller particles in the air. It is measured in micrograms per cubic meter (µg/m3).o3: a measure of ground level ozon3 concentrations in the air. It is measured in parts per billion (ppb).co: a measure of carbon monoxide concentrations in the air. It is measured in parts per billion (ppb).no2: a measure of nitrogen dioxide concentrations in the air. It is measured in parts per billion (ppb).so2: a measure of sulfur dioxide concentrations in the air. It is measured in parts per billion (ppb).dew: dew point, the temperature the air needs to be cooled to in order to reach 100% relative humidity. It is measured in Celsius (°C) or Fahrenheit (°F).h: relative humidity, a measure of moisture in the atmosphere. It does not have a standard unit of measurement.p: atmospheric pressure, a measure of the weight of atoms and molecules that make up the layers in the atmosphere. It is measured in Pascal (Pa).t: temperature, a measure of thermal energy in one or a combined substance at a given time. It is measured in Celsius (°C) or Fahrenheit (°F).w: wind speed, a measure of air in motion. It is measured in kilometers per hour (km/h)
Sample output:
We love PR's!
Take a look at the CONTRIBUTING.md file for details on how to go about this!
Ozon3 uses a semantic versioning system to increment its release version number. Using this model, changes in version numbers can help indicate the meaning of modified code for each version.
See more information on semantic versioning here.
This package is a wrapper around an API provided by the World Air Quality Index project. Without them as well as the US EPA, Ozon3 would not exist. Please consider visiting the WAQI website and contributing to their project if you have time:
United States Environmental Protection Agency
- Ozon3 is licensed under the GNU GENERAL PUBLIC LICENSE v3.0, and so it cannot be used for closed-source software or for monetary gain.
- The WAQI API, which Ozon3 uses to provide data, has it's own Acceptable Usage Policy. Please refer to it for more details.
Contributions of any kind are welcome! These are our amazing contributors :)
Enjoy using Ozon3! 🥳 🍾 🚀