Program to output the wearing time and other statistics of a Cambridge N99 | FFP2 mask.
Project description
Cambridge Masks Stats
Program to output the wearing time and other statistics of a Cambridge N99 | FFP2 mask .the project is currently in the alpha phase. here only the execution in the terminal is dealt with.
requirements
python version
Python >= 3.5
dependencies
numpy==1.21.1
pandas==1.3.1
python-dateutil==2.8.2
pytz==2021.1
six==1.16.0
pip installation (with dependencies)
pip install cambridge-mask-stats
csv file
the CSV file to import needs the following header:
date,id,model,aqi_level,minutes_worn
- date -> format yyyy-mm-dd
- id -> mask id. preferably consecutive numbering
- model -> mask model like 'The Churchill Pro'
- aqi_level -> from 1-5 according to the data in the manual (1 = aqi below 50, 2 = 50 - 100 ...)
- minutes_worn -> minutes worn on this date
execute
mask-stats <FILEPATH>
example
masks-stats /home/w01fdev/Documents/masks.csv
output:
[TOTAL WORN TIME]
ID MASK HOURS
1 The Admiral Pro 3
2 The Churchill Pro 142
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