AQI calculation library (python)

The library calculates the following indexes:

• AQI (US)
• AQHI (Canada)
• CAQI (Europe)
• DAQI (UK)
• AQI (Australia)
• CAI (South Korea)
• PSI (Singapore)
• AQHI (Hong Kong)
• AQI (Mainland China)
• AQI (India)

Installation

From source:

git clone --recursive https://github.com/atmotube/aqipy.git
cd python
python setup.py install

From PyPI directly:

pip3 install aqipy-atmotech

Examples

calculate US AQI:

from aqipy import aqi_us

aqi, aqi_data = aqi_us.get_aqi(o3_8h=0.07853333, co_8h=5)
print('AQI:', aqi)
print('AQI O3:', aqi_data['o3_8h'][0])
print('Effects O3:', aqi_data['o3_8h'][1])
print('Cautions O3:', aqi_data['o3_8h'][2])
print('AQI CO:', aqi_data['co_8h'][0])
print('Effects CO:', aqi_data['co_8h'][1])
print('Cautions CO:', aqi_data['co_8h'][2])

output will be:

AQI: 126
AQI O3: 126
Effects O3: Increasing likelihood of respiratory symptoms and breathing discomfort in people with lung disease (such as asthma), children, older adults, people who are active outdoors (including outdoor workers), people with certain genetic variants, and people with diets limited in certain nutrients.
Cautions O3: People with lung disease (such as asthma), children, older adults, people who are active outdoors (including outdoor workers), people with certain genetic variants, and people with diets limited in certain nutrients should reduce prolonged or heavy outdoor exertion.
AQI CO: 56
Effects CO:
Cautions CO:

Units

Pollutant	Units
CO	ppm
O3	ppm
NO2	ppm
SO2	ppm
NH3	ppm
Pb	ppm
PM2.5	μg/m3
PM10	μg/m3

Summary (averages)

Index	PM2.5	PM10	O3	NO2	CO	SO2	NH3	Pb
AQI (US)	24h	24h	8h/1h	1h	8h	1h	-	-
AQHI (Canada)	3h	3h	3h	3h	-	-	-	-
CAQI (Europe)	1h/24h	1h/24h	max in 1h	max in 1h	8h	max in 1h	-	-
DAQI (UK)	24h	24h	8h	1h	-	15m	-	-
AQI (Australia)	24h	24h	1h/4h	1h	8h	1h	-	-
CAI (South Korea)	24h	24h	1h	1h	1h	1h	-	-
PSI (Singapore)	24h	24h	8h	1h	8h	24h	-	-
AQHI (Hong Kong)	3h	3h	3h	3h	3h	3h	-	-
AQI (Mainland China)	24h	24h	1h/8h	24h	24h	24h	-	-
AQI (India)	24h	24h	8h	24h	8h	24h	24h	24h